Abhishek Gupta

I’m a Results-driven AI/ML Engineer and Generative AI Engineer with 4+ years of hands-on experience designing, developing, and deploying agentic AI solutions, LLM-powered applications, and RAG pipelines for large-scale enterprise systems.

At Tata Consultancy Services, I architected and delivered wealth management platforms supporting 10,000+ daily transactions across 5+ asset classes. I designed and maintained high-performance PostgreSQL and Oracle databases with advanced indexing, partitioning, and EXPLAIN-based query optimization, while building Flask and FastAPI microservices using SQLAlchemy to power portfolio analytics and document intelligence.

I’ve focused heavily on production impact: I reduced API response time by 40–60% using Redis caching and query cost optimization. I orchestrated ML batch inference and ETL workflows using Apache Airflow, improving pipeline observability and reducing manual intervention by 60%, and I achieved 92%+ classification accuracy on production risk models.

I build AI agents and multi-agent systems with LangChain and LlamaIndex, leveraging knowledge graphs and agentic AI workflows to cut manual reporting effort by 70%. I also deploy solutions on AWS (EC2, S3, SageMaker, Bedrock) with Docker and Jenkins CI/CD, and I designed MCP (Model Context Protocol) servers with FastMCP to expose modular financial tools and reduce integration overhead by 50% for new AI workflows.