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logs/Second_Opinion_Logs.log
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@@ -518,3 +518,154 @@ Microservices architecture and API development using FastAPI, Flask, Django.
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Database expertise: SQL, NoSQL (MongoDB, Postgres, Neo4
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2025-11-22 14:01:08 (GMT) - IP: 10.108.93.83 - Successfully processed and displayed results for IP: 10.108.93.83
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Database expertise: SQL, NoSQL (MongoDB, Postgres, Neo4
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---------------------------------------------
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2025-11-22 14:01:08 (GMT) - IP: 10.108.93.83 - Successfully processed and displayed results for IP: 10.108.93.83
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2025-11-22 14:08:56 (GMT) - IP: 10.108.46.38 - Process and display triggered for IP: 10.108.46.38
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2025-11-22 14:08:56 (GMT) - IP: 10.108.46.38
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--- Resume Input ---
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| 524 |
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https://nowlearning.servicenow.com/lxp/en/pages/nl-public-resume?id=nl_public&user=Naval
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| 525 |
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Results-oriented Senior Consultant with a proven track record of driving business transformation and enhancing operational efficiency. Proficient in leveraging cutting-edge technologies including Tableau, IBM solutions, Celonis, and ServiceNow to deliver innovative solutions to clients. Demonstrated ability to lead cross-functional teams and cultivate strategic relationships to achieve business objectives.
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EDUCATIONAL QUALIFICATIONS
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PGDM
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| 528 |
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Indian Institute of Management, Indore
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| 529 |
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2013-2015
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| 530 |
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BTech
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| 531 |
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National Institute of Technology, Rourkela
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| 532 |
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2005-2009
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| 533 |
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PROFESSIONAL EXPERIENCE
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| 534 |
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ServiceNow Senior Consultant 2020– 2023
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| 535 |
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Spearheaded consultations for government bodies, enhancing public service delivery with ServiceNow solutions, resulting in a potential 20% improvement in service efficiency. (successful PoC)
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| 536 |
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Conduct discovery workshops and product demonstrations tailored to customer needs, influencing key decision- makers and contributing to a 15% annual increase in territory sales pipeline.
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| 537 |
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Answer technical queries and collaborate with channel partners to facilitate informed customer decisions, ensuring alignment with ServiceNow’s offerings.
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| 538 |
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Serve as a conduit between customers and product management teams, advocating for new features that have led to the deployment of 3 major product enhancements.
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| 539 |
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Technical Skills
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| 540 |
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Proficient in Tableau and Python library for machine learning, data visualization and analysis Skilled and certified in utilizing Celonis RPA for business process mining and improvement Certified System Administrator (CSA) certified for ServiceNow platform Vancouver release
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| 541 |
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IBM Business Development Consultant 2016-2020
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| 542 |
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Roles & Responsibilities
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| 543 |
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Managed a portfolio of enterprise accounts, fostering relationships that grew the IBM Bluemix customer base by 25% within two years.
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| 544 |
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Directed cross-functional teams in executing market penetration strategies that outperformed sales goals by 30%.
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| 545 |
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Coordinated territory management efforts, including pipeline development and strategic mix
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| 546 |
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Infosys Consulting Management Consultant 2015 – 2016
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| 547 |
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Roles & Responsibilities
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| 548 |
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Analysed IT investment strategies and policy impacts for clients, driving process improvements that bolstered IT operational efficiency by 40%.
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| 549 |
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Orchestrated successful negotiations and agreements with multiple stakeholders, securing long-term contracts and partnerships.
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| 550 |
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Indian Oil Corporation Project Engineer 2009 – 2013
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| 551 |
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Roles & Responsibilities
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| 552 |
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Monitored the upkeep, issue, and procurement of energy projects and operations Coordinated with Govt. stakeholders and district administration to acquire permissions/ electrical clearances for operational excellence and inter-departmental coordination Created and issued Purchase Orders optimising procurement function of procure to pay Compiled terms and conditions/ specification/ SCC and RFQ for services/ procurement Supervised a team of 50 technicians ensuring technical and field project management
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| 553 |
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Achievements
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| 554 |
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Strong communication skills with the ability to convey complex technical concepts In-depth knowledge of cloud computing solutions and enterprise software integration Effective collaboration with product management, marketing, and professional services Regular attendee at industry conferences and events to stay updated on cloud solutions References available upon request
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Adept in process decomposition, process streamlining and adherence to APQC framework
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| 556 |
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1
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--- Job Descriptions Input ---
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| 560 |
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Associate Director – Artificial Intelligence (AI)
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| 561 |
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| 562 |
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Relevant Experience: 13+ years
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| 565 |
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Overview: We are looking for experienced AI professionals with expertise in Machine Learning and AI to join our Data & AI Consulting team. KPMG is among the industry leaders in providing Data & AI services to clients worldwide. We take business-first, innovation-led approach to help our clients achieve business outcomes.
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| 568 |
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Key Responsibilities:
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| 569 |
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| 570 |
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Drive ideation and solutioning with clients, stakeholders, team members
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| 571 |
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Oversee delivery on multiple projects, ensure client objectives are achieved
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| 572 |
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Contribute to business development, help pre-sales, prepare and conduct solution demo
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| 573 |
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Upskill, motivate and manage performance of team members
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| 574 |
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Qualifications:
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Bachelors/master’s degree in computer science, statistics, mathematics, data science, economics
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| 577 |
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Programming background on python, SQL, APIs – must be hands on
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| 578 |
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Expertise on any one of below two areas, and some experience on the other:
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| 579 |
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1) Machine Learning: Predictive, Classification, Forecasting, Optimization, Deep Learning
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| 580 |
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2) Gen AI / Agentic AI, with prior experience on software or data engineering
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| 581 |
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Experience on at-least one cloud provider: Azure, GCP, AWS
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| 582 |
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Experience of leading solutions/client projects from ideation to deployment
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---
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Role: AI/ML & Generative AI Architect / Engineering Leader
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Experience: 15 + Years
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Location: Pune
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Mandatory-Should have a stable track record
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Suitable candidate shall be notified the same day
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About the Role
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| 597 |
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We’re looking for a Technology Leader in AI/ML and Generative AI with strong experience in architecting, designing, and delivering enterprise-grade AI platforms. The ideal candidate will combine deep hands-on expertise in LLMs, RAG, Agentic AI, and Azure AI Services with enterprise architecture and engineering leadership skills.
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You will drive the AI-first transformation journey for large enterprises, build AI-powered digital expert systems, and lead teams to deliver scalable, secure, and business-aligned AI solutions.
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Key Responsibilities
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| 603 |
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| 604 |
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Architect and implement AI/ML and Generative AI platforms for large-scale enterprise adoption.
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| 605 |
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Design and productionize AI-powered systems for Banking use cases such as onboarding, payments, and cash management.
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| 606 |
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Develop RAG pipelines, Agentic AI workflows, and LLMOps frameworks using LangChain, LangGraph, and Hugging Face.
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| 607 |
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Integrate solutions with Core Banking, ERP, H2H, and API platforms ensuring scalability, security, and compliance.
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| 608 |
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Lead and mentor high-performing engineering teams following Agile/DevOps best practices.
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| 609 |
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Evaluate and integrate emerging AI ecosystems (OpenAI, Anthropic, Mistral, Azure OpenAI, GCP Vertex AI).
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| 610 |
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Collaborate with product and business leaders to align AI initiatives with enterprise strategy and measurable ROI.
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| 611 |
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Technical Skills & Expertise
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| 612 |
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| 613 |
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Generative AI & LLMs: GPT-4, LLaMA, Claude, RAG, Agentic AI, LangChain, LangGraph, LlamaIndex
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| 614 |
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AI/ML Engineering: Deep Learning, NLP, Python, FastAPI, MLFlow, PyTorch, TensorFlow, Keras
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| 615 |
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Cloud & Platform Engineering: Azure AI Services, Azure OpenAI, Synapse, Azure ML Studio, AWS, GCP
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| 616 |
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Data & Integration: Kafka, ETL pipelines, APIs, vector DBs (Chroma, Pinecone, Azure AI Search)
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| 617 |
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Architecture: Cloud-native, microservices, event-driven systems, Kubernetes, Docker, CI/CD
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| 618 |
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Why Join
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| 619 |
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Drive end-to-end AI/GenAI transformation across global BFSI clients
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| 621 |
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Lead high-impact AI innovation and modernization programs
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| 622 |
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Work with cutting-edge AI ecosystems and enterprise-grade LLM deployments
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| 623 |
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---
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| 624 |
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Title: Medical Devices AI Solution Architect
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| 625 |
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Experience Required: 15+ Years
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| 627 |
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| 628 |
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Location: Greater Noida, 5 days work from office
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Role Summary:
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We are seeking a highly experienced Medical devices AI Solution Architect with deep expertise in AI/ML solutioning and architecture within the pharmaceutical and biotech domains. The ideal candidate will have a strong understanding of pharma data, relevant regulatory frameworks, and hands-on experience in designing and deploying AI/ML solutions across the medical devices value chain—including R&D, manufacturing, supply chain, commercial operations, and patient safety. This role demands strategic thinking, technical leadership, and cross-functional collaboration to drive innovation and transformation.
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| 635 |
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| 636 |
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Key Responsibilities:
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| 639 |
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Design and architect end-to-end AI/ML solutions for pharma/biotech use cases.
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Apply MLOps methodologies for efficient model development, deployment, and monitoring.
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| 644 |
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Leverage Cognitive AI techniques such as NLP, Computer Vision, Speech, and Conversational AI.
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| 645 |
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Develop and implement Document AI and Generative AI solutions, including custom LLMs.
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| 646 |
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Ensure seamless integration of AI solutions into cloud platforms (AWS, Azure, GCP).
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| 647 |
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Deliver and maintain production-grade ML systems with high scalability and reliability.
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| 648 |
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Provide technical leadership and mentorship to AI/ML teams.
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| 649 |
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Collaborate with data scientists, ML engineers, and business stakeholders to transition prototypes to production.
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| 650 |
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Prepare comprehensive documentation for architecture, design, and implementation.
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| 651 |
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Stay current with emerging trends in AI, LLMs, MLOps, and life sciences technologies.
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| 652 |
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| 654 |
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Mandatory Skills:
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| 655 |
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| 656 |
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| 657 |
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| 658 |
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8+ years in AI/ML, with 3+ years in Medical devices AI (pharma/biotech).
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| 659 |
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Proven experience in AI, ML, MLOps, Text Analytics, Generative AI.
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| 660 |
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Strong programming skills in Python and Java.
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| 661 |
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Experience with ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.
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| 662 |
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Hands-on with cloud platforms: AWS, Azure, GCP.
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| 663 |
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Proficient in ML architectures: Ensemble Models, SVM, CNN, RNN, Transformers.
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| 664 |
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NLP tools: NLTK, SpaCy, Gensim.
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| 665 |
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MLOps tools: Kubeflow, MLflow, Azure ML.
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| 666 |
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Experience in Responsible AI, LangChain, and Vector Databases.
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| 667 |
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Workflow tools: Airflow.
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| 668 |
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Microservices architecture and API development using FastAPI, Flask, Django.
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| 669 |
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Database expertise: SQL, NoSQL (MongoDB, Postgres, Neo4
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| 670 |
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---------------------------------------------
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2025-11-22 14:09:07 (GMT) - IP: 10.108.46.38 - Successfully processed and displayed results for IP: 10.108.46.38
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