I'm an enthusiastic Information Technology undergraduate (graduating in 2026) with a strong passion for Software Development, Machine Learning, and Full-Stack Development. I love transforming complex problems into elegant, efficient solutions and am always excited to learn, adapt, and contribute to innovative projects.

I utilize a blend of languages and modern frameworks to build efficient and scalable solutions.

Category	Technologies
Languages
Backend & APIs
Databases
Frontend
Data Science & ML
Tools & Cloud
Exploring	Advanced Cloud Operations, Deeper Android Development, MLOps

A cutting-edge computer vision project for real-time analysis of traffic footage.

• Objective: Developed a real-time accident detection system for CCTV traffic videos using EfficientNetB1 + Transformer for robust spatiotemporal analysis.
• Pipeline: Built a full pipeline covering frame preprocessing, feature extraction, sequence modeling, training, and live inference.
• Optimization: Achieved reliable accident classification, even on low-quality footage, through optimized frame sampling, feature scaling, and temporal attention modeling.
• Technologies Used: Python, TensorFlow, Keras, OpenCV, EfficientNet, Transformer Models.

A novel and secure authentication system that hides passwords within images.

• Features: Implemented password encryption using LSB (Least Significant Bit) steganography and enhanced security by using Particle Swarm Optimization (PSO) for optimal pixel selection, increasing resistance to attacks.
• Stack: Developed in Python with a Flask/FastAPI backend.
• Technologies Used: Python, OpenCV, Flask, Steganography, Particle Swarm Optimization (PSO), Cryptography.

A command-line student management system built from scratch in C++ to mimic a simple database engine.

• Features: Implements a custom file-based indexing system using an in-memory unordered_map to map student IDs to file positions (.idx file). This enables O(1) average time complexity for lookups, updates, and deletions.
• Architecture: All student records are stored in a binary data file (.dat). The system supports full CRUD operations, soft deletion (by flagging records as inactive), and paginated views for search and list results.
• Technologies Used: C++, File I/O, Data Structures, CLI.

Beyond coding, I enjoy competitive challenges and continuous learning.

• Gaming: Ranked among the Top 256 Teams in India in the CODM World Championship 2021 (Activision).
• Problem Solving: Winner of the Cognitive Maze Event at KIIT Fest 8.0.
• Writing: Secured 3rd position in the KIIT Inter-hostel Hostel Premiere League (Essay Competition), 2022.
• Certifications: I'm constantly upskilling and hold certifications in AWS Certified Cloud Operations, Google Cloud Architecture, Machine Learning from Kaggle, and Business Analytics from the University of Colorado Boulder, among others.

⚡ Fun Fact: I believe the strategic thinking from competitive gaming directly translates to better problem-solving in software development!