Mukund Bajpai — Software Engineer

Software Engineer with 2 years of experience building LLM-powered systems At Surya Financial Technologies, I currently work on SURYA.AI, a platform that converts natural language queries into SQL, executes them on enterprise databases, and returns structured financial insights. My work includes: • Built RAG systems including data ingestion, chunking, embedding, and indexing into vector databases with semantic retrieval and retrieval grading • Built token-level streaming pipelines using structured NDJSON • Cross-runtime streaming integration between Python and C# • Built and owned an automated LLM evaluation and guardrail framework incorporating toxicity detection, jailbreak mitigation, and factuality validation, reducing unsafe outputs by 75%. • Prompt engineering and retrieval optimization to reduce token usage by 30%, significantly lowering inference costs without degrading output fidelity. • Built a RAG-powered Jira support assistant integrating FastAPI webhooks, Qdrant semantic retrieval, and Gemini Flash to auto-surface similar historical tickets and suggested RCA with Resolution, reducing ticket resolution time by 40%. It has processed 10,000+ tickets till now and is used across 25+ projects. Also built a real-time retraining pipeline where on ticket close, the system automatically trains and indexes the recently closed ticket into the vector store, keeping retrieval relevant and eliminating manual retraining entirely by 100% Beyond AI systems, I have worked on backend engineering: • Designed and built multiple WebAPIs end-to-end including database design, DAL, domain models, and business logic layer • Automated API testing framework (.NET / xUnit / PostgreSQL) with 2000+ test cases • Quartz-based job automation that reduced manual work by 90% I care about building systems that are reliable and actually work in production not just on demo day.

Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech industry.

Location: Bengaluru, Karnataka, India

Experience: 1 yr 8 mos