Building intelligent solutions that solve real-world problems through AI, Computer Vision, and Full-Stack Development.
I am an Artificial Intelligence & Data Science undergraduate at Sri Eshwar College of Engineering with a strong passion for Artificial Intelligence, Computer Vision, Machine Learning, and Full-Stack Web Development.
I enjoy building intelligent software that solves real-world challenges. My interests include AI-powered applications, UAV technologies, automation, web development, and problem solving.
I actively participate in hackathons, coding competitions, and continuously improve my technical skills through projects and online learning.
Integrating computer vision pipelines with drone hardware for smart automation.
Crafting robust backends with Flask/SQLite and premium interfaces in HTML/CSS/JS.
Over 1,200 problems solved across platforms, cultivating quick problem-solving.
CGPA: 8.82
Specializing in machine learning methodologies, computer vision architectures, advanced data structures, algorithms, and cognitive computing applications.
Percentage: 90.6%
Completed high school studies focusing heavily on Mathematics, Physics, and Computer Science foundations.
Percentage: 91.6%
Established primary academic background with distinction in general sciences and mathematics.
Oceanix is a next-generation Smart Marine Intelligence Platform that uses AI, machine learning, and geospatial technologies to analyze marine data. It provides fish availability prediction, fish migration analysis, species identification, vessel tracking, maritime boundary alerts, pollution monitoring, ocean mapping, and fish market forecasting, supporting sustainable fisheries and marine conservation.
Developed an AI-powered UAV disaster management system capable of detecting humans from aerial images using Ultralytics YOLO. It functions in real-time to facilitate faster response times during flooding, earthquakes, and forest search missions.
A clean, responsive Hostel Complaint Management System. Enables residents to submit issues and track resolution timelines, with integrated admin consoles for work allocation.
An intuitive portal designed to index and search learning resources. Built to simplify discovering programming courses using client-side dynamic search indices.
Ranked in the top 100 international teams for building innovative automated engineering products, evaluated on execution speed, feasibility, and technical complexity.
Won 2nd prize at Sri Eshwar College of Engineering for rapid code debugging, advanced algorithm optimization, and logical aptitude challenges.
Developed a complete production-ready responsive layout from wireframes under strict time restrictions, placing second among highly competitive teams.
ET AI Hackathon 2.0 is a major nation-scale innovation challenge hosted by The Economic Times in partnership with Unstop. It invites students and developers to build real-world Artificial Intelligence and Generative AI solutions across business, social impact, and open innovation tracks, featuring a ₹10,00,000 prize pool.
The FAR AWAY Hackathon 2026 is an elite, multi-disciplinary international youth hackathon designed for young creators, developers, and visionaries aged 15 to 25. Organised by Zuup (a teen-led non-profit under Zylon Labs) in collaboration with partner institutions like Parul University, the hybrid competition challenges participants to build functional, open-innovation prototypes that solve critical global friction points.
Recognized for our innovative approach to AI-powered disaster response and UAV-based survivor detection. Varchasva 2026 is a flagship city-wide ideathon and innovation challenge organised by bits&bytes Noida, bringing together innovators to build tech-driven solutions for real-world issues.
30+ Problems Solved
900+ Problems Solved
200+ Bronze Badges
300+ Problems Solved
Active Committer
Loading repositories...
Building specialized regression, classification, and neural pipelines that map operational data to actionable business insights.
Specialized object recognition, segmentation models, and live video analysis workflows using frameworks like YOLO, PyTorch, and OpenCV.
Efficient backends, algorithmic scripts, pipeline automation wrappers, and computational engines built around native Python paradigms.
Designing modern, glassmorphic full-stack layouts with Flask databases and responsive, fast, standards-compliant user interfaces.
Developing scripts to streamline tedious routines, fetch external data nodes, scrape information, and sync system endpoints.
Designing and deploying predictive algorithms and data architectures that scale to handle high-frequency database entries.
As a student, I build experience through hands-on hackathons, intensive collaborative project cycles, and challenging problem-solving exercises.
Feel free to reach out for hackathon collaborations, internship opportunities, code development, or project consultations. I reply promptly.