I'm a Computer Science student at PES University with a passion for distributed systems and cloud architecture. Currently working as a Teaching Assistant for Big Data courses, where I help 200+ students master Kafka, Spark, and Hadoop.
- 🎓 GPA: 9.36/10.00 | KCET Rank: 1733
- 🏆 MRD Scholarship recipient (Top 5% for 4 consecutive semesters)
- 🥇 First place winner at Hacknight and Override hackathons
- 📧 Reach me at: [email protected]
Teaching Assistant – Big Data @ PES University (July 2024 – Present)
- Designed comprehensive Spark assignments for 200+ students covering distributed data processing concepts
- Reviewed and mentored students on distributed systems projects including Kafka task queues and real-time log management
Software Engineering Intern @ AVEVA (June 2024 – July 2024)
- Built interactive data visualization charts with real-time streams using .NET Core, Angular, and RxJS
- Optimized API performance by 95%, reducing data retrieval time from 40s to 2s through asynchronous handling
Full Stack Developer Intern @ Snow Mountain AI (June 2023 – Aug 2023)
- Led database migration from team-based to organization/project-based schema using Supabase and PostgreSQL
- Revamped company website frontend with NextJS while maintaining backward compatibility
- Developed a system to convert AWS architecture diagrams to CloudFormation templates using YOLOv8 (98% accuracy)
- Trained model on 300+ AWS services with sub-3 second generation time using microservices architecture
- Tech: AWS, YOLO, FastAPI, MongoDB
- Implemented NEAT algorithm from scratch to evolve neural networks for autonomous navigation
- Achieved successful track navigation after ~500 generations with 100 parallel agents
- Tech: Python, NEAT Algorithm, Custom Physics Engine
- Built Kafka-based distributed load testing system supporting 500+ concurrent requests
- Implemented Avalanche (burst) and Tsunami (sustained) test modes with <2s heartbeat detection
- Tech: Kafka, NodeJS, Distributed Systems
- Designed computer vision system for ball tracking and wide ball detection (90% accuracy)
- Integrated real-time pose estimation at 60fps to dynamically adjust decision boundaries
- Tech: OpenCV, TensorFlow, MediaPipe, Unity3D
Languages
Big Data & Cloud
Frameworks & Libraries
AI/ML
Feel free to reach out for collaborations or just a friendly chat!