Jinal Shah
Domain Adapted LLM, Decision Intelligence, AI Observability, PHD Scholar AI Practice: TCS | Discriminative/Predictive AI | INSEAD | Bits Pilani | Adani University
- Role
- Ai Practice Leading Advanced Ai Coes Principal Data Scientist at Tata Consultancy Services
- Location
- Pune, MH, IN
- LinkedIn followers
- 500 followers
About Jinal Shah
Jinal is qualified Data Scientist and PHD Scholar, Leads AI/Data Scientist\'s team focused on Advanced Gen.AI CoEs such as Domain Adapted LLMs, Decision Intelligence, Forecasting/Simulations and AI Observability. Specialization: LLM/SLM Fine-Tuning, RAG, Prompt Engineering, Cognitive Search, LLM Guardrails, LLM selection and benchmarking, Discriminative AI vs Gen. AI, LLM Build vs Buy strategy, ML Model building and tuning, AI Observability for agents and threat intelligenceMajor Solution Frameworks Developed: Language Model Domain Adaptation, Agentic AI Observability, Topic modelling and threat intelligence on AI observability, Forecasting and simulations for prediction use cases, Knowledge synthesis, Decision Intelligence for finance and investmentsResponsible for;1. Front facing customer to showcase transformational benefits using Generative and Discriminative AI, Conversational AI, NLP & Data science2. Driving Gen. AI/AI Solutions, Design, Architecture, Asset & Demo driven approach to foster better engagement with customer3. Build vs Buy strategy consulting with Business case analysis4. RFP/RFI and Deeper Engagement with customers thru Innovation days & proactive proposals5. Early mover to create Enterprise AI adoption, consulting, architecture, platform collateral creation6. Crawl, walk & run strategy. Result driven research, Quick EDA/POC/POT for AI led projects and productionize AI models7. AI Product/Platform evaluation, benchmarking & considerations for proposalWhitepapers/PoVs published:1. AI Observability for Agents, Threat Intelligence in Agentic AI, Observability for Business beyond LLM Tokens2. Domain Adapted LLM for Finance, Investments and Gaurdrails3. Conversational Experience Analytics4. Augment Search with Recommendation Engine5. LLM Hallucination management approaches | LLM Guardrails | RAI in Practice6. LLM Selection and Benchmarking Approach7. Enterprise Gen. AI Adoption strategy8. Knowledge synthesis on structured and unstructured data9. Agentic AI
Experience
Ai Practice Leading Advanced Ai Coes Principal Data Scientist
Apr 2025 — Present · Pune, IN
CoE: SLM/LLM Fine-Tuning, Domain LLMs, Advanced Gen. AI, AI Observability, Agentic AIHybrid AI for Decision Intelligence
Education
INSEAD
Strategy, Growth & Transformation Leadership
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech, Data Science
2019 — 2021
Gujarat University
Bachelor's degree, Information Technology
2000 — 2003
Indira Gandhi National Open University
Masters, Information Technology
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