Agastya Karnwal
@agastyakarnwal
AI and Data Engineer building LLM-powered enterprise systems and scalable data platforms.
What I'm looking for
I’m an AI & Data Engineer who builds enterprise-ready AI applications, scalable data platforms, and backend systems. I focus on turning complex data into intelligent, production-ready experiences.
In my current role as an Apprentice – Software Development at Commvault, I built an LLM-powered SQL Agent that enables natural language querying across multiple enterprise databases. I designed a hybrid retrieval architecture using template-based SQL generation and Graph RAG to improve query accuracy and reduce hallucinated SQL.
I also drove major performance improvements through query optimization and cursor-based pagination—achieving a 20–30× improvement and reducing API latency from 30–60 seconds to nearly 1–2 seconds. I improved analytics dashboards for 10,000+ records with backend pagination, infinite scrolling, and caching to strengthen frontend-backend synchronization.
Earlier, as a Software Developer Intern at PolicyBazaar, I developed Spring Boot microservices and REST APIs for an insurance comparison platform, integrating AWS EC2 and S3 for scalable backend operations. My projects and certifications reflect a consistent emphasis on Lakehouse architecture (Bronze–Silver–Gold), ETL/dataflows, and reliable AI automation—like an LLM-powered SOW Automation Bot with modular design.
Experience
Work history, roles, and key accomplishments
Built an LLM-powered SQL Agent enabling natural language querying across enterprise databases, using template-based SQL generation with Graph RAG for schema-aware query understanding. Developed cross-database analytics backends and APIs with query orchestration, routing, caching, and cursor-based pagination, achieving 20–30× performance improvement and reducing API latency from 30–60 seconds to ~1
Software Developer Intern
PolicyBazaar
May 2024 - Jul 2024 (2 months)
Developed Spring Boot microservices for an insurance comparison platform and implemented REST APIs for policy retrieval and real-time processing. Integrated AWS EC2 and S3 for scalable backend operations within an Agile development environment.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Information Technology
Grade: CGPA: 8.59
B.Tech in Information Technology at Vellore Institute of Technology (CGPA: 8.59), graduating in 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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