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Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
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About
AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.
Experience
Education
Key Strengths
- Reduced LLM/RAG query latency by 50% via hybrid search + RAG pipeline optimization
- Production-focused LLM system design (prototype-to-production for GenAI career coach)
- Real-time debugging of agentic workflows using reasoning traces and RAG context validation
- Client-facing delivery ownership for high-stakes healthcare ETL/reporting with strong data integrity focus
- Able to tailor technical demos/workshops to different stakeholder audiences
- Built and deployed a GenAI career-coach product as a founding engineer (backend + recommendation system)
- Improved LLM output quality by redesigning prompts to reduce hallucinations and generic responses
- Designed deterministic multi-stage agent workflows with guardrails, schema validation, and state machines
- Hands-on orchestration across Azure AI Foundry, LangChain, and custom FastAPI pipelines to improve latency and response quality
- Strong RAG implementation skills (Pinecone metadata filtering, hybrid retrieval, context merging)
- Practical evaluation approach for agents (accuracy, latency, consistency; tool-calling integrity testing)
- Effective collaboration with non-technical stakeholders (translating technical tradeoffs into lay terms)
Reference Highlights
- Delivered top-notch quality recommendations
- Achieved accuracy goals for recommendation system
- Very collaborative with other teams
- Able to discuss product effectively with non-technical stakeholders
- Open and transparent communicator about development, strategy, and testing
- Patient in addressing stakeholder questions
- Strong knowledge sharing; willing to teach
- Open to learning from peers
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