Biography & Background
AI / Data Engineer · Bengaluru, India
I am an AI / Data Engineer based in Bengaluru, India, focused on building reliable data pipelines, in-process analytical engines, and evaluated LLM systems.
My background spans Python, SQL, JavaScript, and TypeScript, with practical experience designing deterministic query guardrails and assessing LLM outputs for groundedness and citation faithfulness. Full-stack and backend development serve as supporting capabilities that allow me to take data systems from concept to production-ready interfaces.
Whether engineering hybrid retrieval-augmented generation pipelines, developing in-process columnar analytics with DuckDB, or deploying applications on Next.js and PostgreSQL, I prioritize verifiable metrics, safe execution boundaries, and reproducible results.
Career & Experience
trulyapp.online ·Instagram: @trulyapp.online
Architected and engineered an intentional social video platform for young urban Indians (ages 18–30) to meet through structured 60-minute video circles, featuring double-blind mutual matching with a 2-hour SLA, Panda CSS design system, and Neon serverless PostgreSQL with Drizzle ORM. Implemented pessimistic row-locking (SELECT ... FOR UPDATE) across 8-seat allocations to eliminate race-condition overbooking, UUIDv7 primary keys, and a Transactional Outbox pattern.
Built and launched an AI-powered resume tool using Next.js, TypeScript, Supabase (PostgreSQL with Row Level Security), and the OpenAI API, including a spatial ATS parser, zero-duplicate action verb rewriter, and ATS-safe PDF export.
Varanasi, India
Owned and operated an independent restaurant for six months, managing staff, budgeting, pricing, and vendor relationships.
Academics
Information Technology
Dr. A.P.J. Abdul Kalam Technical University
Credentials
Coursera
Honeywell Student Empowerment Program (Grade A)
Competencies
I am always open to discussing AI / Data Engineering roles, data platform architectures, and technical collaborations.