Computer Science Engineer building AI-driven systems. From architecture to deployment — I create complete solutions that solve real-world problems.
I am a Computer Science diploma graduate and a hands-on developer who believes in building real, working systems rather than just learning theory.
My core interests lie in AI, automation, and intelligent system design. I have worked on multi-factor secure attendance systems, face recognition apps, management systems, and AI-driven tools using Python, React, PHP, Flask, SQL, and ML.
Exoplanet transit detection engine using 1D-CNN, Kepler photometry & BLS for ISRO BAH 2026 (PS-07).
AI-driven smart attendance tracking & behavioral analytics platform engineered for SIH 2025 with Team CodeNova.
Awarded 1st Prize at YOUTH@2050. Multi-class symptom diagnosis & pharmaceutical regimen recommender.
Zero-latency browser AR air-drawing canvas with Google MediaPipe 21-joint tracking & Bézier curves.
Real-time Indian Sign Language (ISL) gesture recognition & text-to-speech translator with OpenCV.
Real-time pedestrian crowd density monitoring, homography bird’s-eye mapping, and YOLO surge tracking.
High-throughput local LLM execution interface with GGUF quantization and VRAM layer offloading.
Bidirectional LSTM neural network forecasting non-stationary stock trends with RSI, MACD & NATR features.
Campus recruitment readiness engine predicting placement probabilities and student skill gap roadmaps.
Windows network stack orchestrator via netsh with live RTT latency benchmarking for fast DNS switching.
Contactless face recognition attendance logger with Haar cascades, 128D deep embeddings & SQLite.
Tracks telemetry, web activity, and protects user data from online surveillance & tracking scripts.
Content-based and collaborative filtering recommender utilizing TF-IDF vectorization and cosine similarity.
High-performance interactive ecommerce application with React, cart persistence, and micro-animations.
Campus peer-to-peer rental & exchange platform for college hostel students with real-time listings.
Modern ATS-friendly resume generator with live PDF compilation and modular design layouts.
Multi-lab device tracking, hardware fault ticketing, and inventory management with 3NF relational MySQL.
Comprehensive tourism portal for Odisha heritage, hotel reservations, package bookings, and reviews.
Scroll to trace the journey — follow the curly arrow as it navigates through milestones from my first lines of code to building production AI systems.
Began my Computer Science journey — learned programming fundamentals, C, and basic web development.
Built my first full project — a Student Management System using Microsoft Access. Fell in love with building things.
Mastered HTML, CSS, JavaScript, PHP, and MySQL. Built the Odisha Tourist Management System and Computer Lab Management System.
Joined Government College of Engineering, Kalahandi (GCEK) in Computer Science & Engineering through Lateral Entry.
Transitioned to modern frameworks — React, Next.js, Tailwind. Built GCEK Vendor, a community rental platform.
Building complete systems — from hand gesture controllers to DNS switchers. Scaling system architecture.
Explored AI/ML with Python, Flask, and Streamlit. Created Movie & Medicine Recommender Systems using real ML models.
Focusing on AI-driven systems, secure architectures, and impactful products. The best is yet to come.
A track record of consistent hands-on building, academic discipline, and open-source contributions.
Awarded 1st Prize with 7000 Rs. Prize Pool at the District Level Software Expo for developing MRS-AI — an AI-powered medicine recommender system with symptom prediction.
Participated in ISRO national hackathon solving PS-07: Exoplanet Detection using Machine Learning, classifying deep space planetary transit light curves.
Participated in India’s premier national hackathon as part of Team CodeNova, engineering AttendTrue Analytics — an AI-powered smart attendance and institutional analytics system.
Secured admission into B.Tech Computer Science & Engineering at GCEK through state-level Lateral Entry based on academic excellence.
Graduated with First Class Honours with Distinction in Computer Science & Engineering, mastering algorithms and core system architecture.
Engineered and published 30+ public repositories across AI/ML, computer vision, web applications, and system utilities.
Engineering writeups on artificial intelligence, computer vision, web architecture, and systems development.
Deep dive into light-curve transit photometry, Kepler & TESS astrophysical signal processing, and 1D CNN / Random Forest models for ISRO Bharatiya Antariksh Hackathon Problem Statement 07.
How Team CodeNova engineered AttendTrue Analytics for Smart India Hackathon 2025: An intelligent computer vision attendance tracking and real-time student behavioral analytics platform.
Detailed architecture of MRS-AI, which won 1st Prize at the District Level Software Expo: Multi-class disease classification with SVC and personalized clinical precautions.
Building an interactive zero-latency virtual drawing canvas powered by Google MediaPipe 21-hand-landmark tracking and cubic Bézier stroke interpolation.
Have an idea, an AI model in mind, or a scalable web app to build? Drop a message and let's craft an impactful digital experience together.