
B.Tech CSE (AI & ML)
I am an AI/ML Engineer and Full-Stack Developer specializing in building autonomous AI agents, intelligent retrieval systems (RAG), and production-grade web platforms. My focus centers on engineering scalable deep learning architectures and high-performance software that bridge scientific research with real-world utility.
From authoring PaperLens AI (an autonomous academic research co-pilot with hybrid FAISS+BM25 retrieval) to deploying distributed enterprise platforms like CampusSphere and explainable deep learning pipelines, I emphasize clean architecture, deterministic latencies, and visual polish.
ReAct agent loops, streaming citations, tool execution, and prompt compression.
In-memory BM25 + FAISS hybrid search paired with remote Supabase pgvector.
Next.js 15, React 19, FastAPI, PostgreSQL, and distributed OpenTelemetry tracing.
Conducted research on lightweight deep learning architectures by optimizing EfficientNet variants for image classification tasks with a focus on model efficiency and inference speed.
DataSpace Academy & The Neotia University • July 2024
DataSpace Academy & The Neotia University • November 2024
DIT-IEEE-SPS • March 2025
Webel PVT. LTD & The Neotia University • June 2025
Xetalabs • July-September 2025
The Neotia University & Ministry of Education, Govt. of India • September 2025
The Neotia University (Anuranan Journal) • February 2026