Apurv Garg — Software Engineer
I build prompt-first RAG and reliable tool-calling systems. I design system prompts and curated few-shots, enforce schema-validated JSON + guardrails, and tune PGVector retrieval (chunking, filters, re-ranking) for grounded, cited answers. I automate Python/SQL batch runs on versioned golden sets (with targeted synthetic cases) and track precision, recall, F1, recall@k, latency, and cost so improvements ship fast without regressions. Recently: shipped agentic RAG in MDO (Azure OpenAI + PGVector + Bing-grounded search + Playwright evidence) with URL/screenshot citations — cut manual review effort by 80% and lifted grounded-answer rate by 80%. Open to roles where prompt engineering, retrieval quality, and practical evaluation matter.
Stackforce AI infers this person is a SaaS expert specializing in AI-driven retrieval systems and data processing.
Location: Gurugram, Haryana, India
Experience: 4 yrs 1 mo
Skills
- Retrieval-augmented Generation (rag)
- Azure Openai
- Python
Career Highlights
- Shipped agentic RAG system reducing manual review by 80%.
- Enhanced retrieval quality with advanced tuning techniques.
- Prototyped RAG stack improving internal demo capabilities.
Work Experience
Prospecta Software
Senior Development Engineer (1 yr)
Devlopment Engineer (3 yrs 1 mo)
Cisco
Cisco Cybersecurity (2 mos)
Education
Bachelor of Technology - BTech at KRISHNA INSTITUTE OF ENGINEERING AND TECHNOLOGY, GHAZIABAD
at Delhi Public School - Meerut