Backend Dev
I break and build APIs...
Hey, I'm Atharv, a backend developer who enjoys building scalable systems. Open to remote work and meaningful side projects.
Off work, I'm usually watching anime or tinkering with something weird. (ツ)
“Behind every seamless UI is a backend quietly doing the heavy lifting.”
Work Experience
A timeline of my learning journey and the Projects I've developed along the way.
MS Thesis – LLM-based Mental Health Chatbot
Designed and deployed a secure LLM-based mental health chatbot to assist doctors @AIIMS Kalyani in monitoring depression and anxiety. Scaled the system using FastAPI microservices, handled 100+ concurrent LLM requests, and led DevOps for on-premise migration and zero-downtime deployment.
Technologies & Skills
Summer Internship – Audio Data Analysis
Analyzed speech data from 119 participants to predict social anxiety levels. Extracted MFCCs, pitch, and other features using Python’s librosa library and investigated correlations with psychological metrics.
Technologies & Skills
Summer Internship – Canteen Management System Upgrade
Integrated Stripe for digital payments in the campus canteen portal. Implemented Redis-based background tasks for email invoicing and generated detailed transaction statements.
Technologies & Skills
Education
My academic background and foundational training.
BS-MS Dual Degree in Chemistry
Completed a 5-year integrated BS-MS dual degree in Chemistry with interdisciplinary coursework, independent research projects, and a strong emphasis on scientific rigor. Developed a deep interest in computational sciences and applied AI in mental health and signal processing domains.
Relevant Skills & Learnings
Featured Projects
A selection of my recent work. Each project is unique and solves specific problems.
A Chrome extension that enables contextual chat based on the current webpage. Built a full RAG pipeline using LangChain, FastAPI backend, and ChromaDB for embedding and retrieval.
YouTube-like video-on-demand platform with upload, automatic transcoding, and HLS streaming. Powered by FFmpeg, AWS S3, and Django backend deployed on EC2.
Trained a CNN on 26k spectrogram images to detect Blue Whale A-calls with 95% accuracy. Packaged the model into a Flask API and Dockerized the app for seamless deployment.
Tech Stack
The tools and technologies I use to build reliable and scalable backend systems.