Tejas Bankar

About Tejas Bankar

I’m a GenAI / Agentic AI Engineer with 4+ years of experience delivering LLM-powered platforms across BFSI and enterprise environments. My core expertise includes GenAI / Agentic AI, RAG pipelines, multi-agent systems, LLM fine-tuning (LoRA/PEFT), Machine Learning, Deep Learning, evaluation frameworks, and cloud-native AI architectures using Python, FastAPI, AWS Bedrock, Azure AI, Kubernetes, and vector databases (FAISS, Pinecone, OpenSearch), Redis.At EY, I led the build and production rollout of a GenAI Sales & Research Assistant for a leading asset manager, enabling natural language querying across SQL, PDFs, and web data, and automating quarterly reports for 600+ companies — saving 400+ hours per quarter. I’ve also built multi-agent copilots supporting 500+ concurrent users and delivered GenAI SDLC automation tools that convert transcripts and code into business documentation and test cases.

Experience

1. Consultant - Ai Developer

   EY

   Oct 2024 — Present · IN

   Working in the Technology Consulting – GenAI Core Team, delivering enterprise-scale, production-grade Generative AI solutions for BFSI, Investment Management, and NBFC clients.• Mutual Fund – GenAI Sales & Research Assistant:Led end-to-end design and delivery of a multi-functional GenAI suite enabling Sales and Equity Research teams to query SQL, PDFs, and internal knowledge bases using natural language. Built Sales & Research copilots with role-based access control, SSO, Redis-based conversational memory, pinned chat threads, document upload & chat, query routing, and citations. Developed an automated quarterly research report generator producing standardized 2-page Word reports from multiple analyst PDFs with 95%+ accuracy, saving 400+ manual hours per quarter. Deployed a production-ready, auto-scaling solution on AWS EKS, stress-tested for 500+ concurrent users.• NBFC – Conversational BI:Designed an NL-to-SQL Conversational BI chatbot for collections analytics, delivering insights in text, tables, and charts. Implemented chat context, follow-up question recommendations, and Responsible AI guardrails to ensure policy-compliant outputs.• Insurance - Trading Policy Chatbot:Bult and optimized advanced RAG based chatbot for personal trading policy documents with over 90% of accuracy. Live to users.• FMCG – GenAI in SDLC Automation:Built GenAI pipelines for BRD generation from meeting transcripts, reverse business/technical documentation from legacy code, and manual test case generation from Jira.Recognition and Leadership- EY Collaboration Extraordinaire Award: Recognized within 6 months for exceptional performance and collaboration skills- C-Suite Visibility: Direct exposure to client executives with successful level-up role delivery- Industry Engagement: Attended GenAI trainings at NVIDIA, Microsoft; participated in BFSI TOP 100 AI event- Team Leadership: Counseling 2 associates and mentored 2 interns. Led large scale project.

Education

• Maharashtra State Board of Secondary and Higher Secondary Education (MSBSHSE)

  Secondary School Certificate (10th)

• Sinhgad Institute of Technology & Science

  Bachelor of Engineering - BE, Mechanical Engineering

• Cusrow Wadia Institute Of Technology

  Polytechnic (Diploma), Mechanical Engineering

  2015 — 2018