Technical Operations Associate & B.Tech CSE student
building practical AI/ML, backend, and data-driven systems.
I build practical systems across AI/ML, backend engineering, and data — from pipelines and intelligent agents to production-oriented APIs and developer tools.
My work spans machine learning, NLP, data analysis, computer vision, and backend development. I've built systems such as MailMass, a URL-shortening platform, AI-powered job assistance tools, fraud detection models, and conversational data-analysis applications, while also exploring research-oriented thermal–optical image fusion.
Alongside my engineering work, I work as a Technical Operations Associate, bringing experience beyond models and code — working with real operational workflows, systems, and practical problem-solving. I'm currently completing my B.Tech in Computer Science & Engineering at ITM University.
Open-source full-stack email marketing platform for teams, combining a Next.js frontend with a FastAPI backend, PostgreSQL, Redis, Celery, and Resend. Includes contacts, templates, campaigns, scheduling, CSV workflows, analytics, authentication, and background processing.
Live Demo ↗ GitHub ↗Full-stack URL shortener built around an asynchronous FastAPI backend, React frontend, PostgreSQL, and Redis. Supports authentication, protected operations, click analytics, expiration, permanent URLs, caching, rate limiting, collision checking, and production deployment.
Live Demo ↗ GitHub ↗Research prototype for 4× thermal super-resolution using high-resolution optical guidance, separate feature extraction, attention-based fusion, and pixel-shuffle upscaling. Built as an end-to-end inference pipeline with a FastAPI web interface.
GitHub ↗Machine-learning fraud classification pipeline using a scikit-learn preprocessing workflow and Logistic Regression, trained on a large transaction dataset and exposed through an interactive Streamlit application.
Live Demo ↗ GitHub ↗End-to-end conversational data analysis system that parses WhatsApp exports, engineers behavioral features, clusters users with KMeans, generates natural-language behavior profiles and influence scores, and produces CSV/PDF reports.
Live Demo ↗ GitHub ↗Interactive analysis application for exported WhatsApp chats, covering message and user statistics, word and emoji analysis, timelines, activity patterns, and hourly heatmaps through Streamlit visualizations.
Live Demo ↗ GitHub ↗Streamlit-based job assistance system using CrewAI and Google Gemini agents for job-description analysis, resume and cover-letter generation, and application messaging, with USAJOBS API integration and an application log.
GitHub ↗Winner at Kronos Hackathon 2026.
1st place in the college project hackathon.
Top Performer at Hacksagon 2025.
Completed the Machine Learning Specialization by Andrew Ng.
Python, Pandas, Data Visualization, Intro to Machine Learning, and Intermediate Machine Learning.
Member and lead of the management team.
C++, Java Full Stack, and cybersecurity training including Kali Linux and related tools.
Building software, exploring AI, and open to interesting engineering opportunities.