~ about
I'm a Computer Engineering graduate focused on building reliable, efficient systems — whether that's through full-stack development, AI integrations, or robust cloud infrastructure.
I enjoy working across the stack: from developing AI-powered applications with FastAPI and LangGraph, to automating geospatial workflows and setting up Linux environments. I like systems that are boring in production and interesting to build.
When I'm not writing code, you can usually find me reading up on motorcycles, exploring fintech trends, or looking for the next great sci-fi series to binge.
ε experience
Jun — Aug 2025
Bhabha Atomic Research Centre (BARC)
Project Trainee — Radiation Safety Systems Division, Trombay
Contributed to "QGIS-Based Decision Support for Implementing Counter Measures" — a spatial analysis pipeline for emergency response planning.
[QGIS Layers] <──────────> [PyQGIS Engine] <──────────> [PyQt UI]
│
[Spatial Outputs]
- Automation: Automated geospatial data processing workflows using Python and PyQGIS, reducing manual preprocessing time by approximately 50%.
- Decision Support Systems: Developed a PyQt desktop interface for a radiation safety decision-support system, integrating QGIS spatial layers to enable configuration and visualization of geospatial analysis scenarios.
- Spatial Analysis: Built geospatial visualization modules to process and render spatial outputs; used by division researchers during tabletop emergency response and countermeasure planning exercises.
Python
PyQt
QGIS
PyQGIS
λ education
2021 — 2025
Dr. Babasaheb Ambedkar Technological University (DBATU)
B.Tech in Computer Engineering
∇ projects
PROJECT_001.ts
● ACTIVE
Opteer – AI-Powered Job Application Intelligence Platform
May 2026 → Present
A local-first AI-powered job application intelligence platform that combines application tracking, resume analysis, job matching, and interview preparation within a unified workflow.
- Built a local-first platform that centralizes resumes, job opportunities, application tracking, AI analysis, and interview preparation.
- Developed a LangGraph-powered workflow for job-fit evaluation, resume tailoring recommendations, and interview preparation.
- Integrated Firecrawl and Tavily for job extraction and company research, with support for OpenAI, Anthropic, Gemini, Groq, and Ollama models.
Next.jsFastAPILangGraph
LangChainPostgreSQLSQLAlchemy
TypeScript
PROJECT_002.py
● DEPLOYED
Heritage Explorer – Full-Stack GIS Web Platform
Aug 2024 → Jun 2025
A full-stack GIS platform for interactive exploration of cultural heritage datasets using React and MapLibre, enabling real-time visualization of GeoJSON layers served from a Node.js backend.
- Engineered an interactive spatial visualization using MapLibre GL JS and Turf.js, performing client-side geospatial filtering across 400+ cultural heritage sites with near-instant rendering.
- Processed and transformed heritage location datasets using QGIS and Python; implemented Firebase authentication and geolocation-based map filtering.
ReactMapLibreNode.js
FirebasePythonQGIS
PROJECT_003.js
● ARCHIVED
Course Exit Survey System
Feb 2024 → Jun 2024
A real-time feedback collection system for academic course evaluation with Chart.js visualization and XLSX export.
- Built a web application using React and Firebase to collect and analyze student course feedback.
- Implemented real-time data storage and analytics dashboards using Firebase and Chart.js for visualizing student feedback insights.
- Enabled Excel export for academic reporting workflows.
ReactJavaScript
FirebaseChart.js
Σ skills
Languages
Python
TypeScript
JavaScript
SQL
Shell Scripting (Bash)
Web Frameworks
React
Next.js
FastAPI
AI & Specialized Libraries
🔗 LangChain
🕸️ LangGraph
PyQt
🗺️ PyQGIS
Databases & Backend
PostgreSQL
Supabase
Firebase
Tools
Git
Docker
🌍 QGIS
🕷️ Firecrawl
🔍 Tavily
Cloud & Platforms
Linux
Google Cloud Platform (GCP)
🦙 Ollama