Computer Science undergraduate at VIT specializing in distributed systems, event-driven architectures, and multi-agent orchestration frameworks.
Vellore Institute of Technology
Core Coursework: Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, Computer Networks, Database Management Systems, Software Engineering, Machine Learning, Probability & Statistics.
I am a Computer Science student at Vellore Institute of Technology, driven by a deep fascination for high-performance backend infrastructures and cognitive AI systems.
My engineering philosophy centers on clean code, testability, and solving bottlenecks at scale. Whether deploying event-driven notification systems using Apache Kafka, architecting robust geospatial databases for real-time applications, or coding conflict-driven clause learning SAT solvers from scratch in C++17, I enjoy diving into details.
Selected for exclusive 1-on-1 Lightning Session with Praveen Jayakumar (AWS Head of Gen & Agentic AI) on building production-ready Agentic AI systems.
By Andrew Ng (DeepLearning.AI). Deep foundations in supervised, unsupervised learning, and model optimization.
Professional Certificate covering advanced LLM prompt engineering, RAG, and agent integration workflows.
Engineered NutriBaba, a production-grade Agentic AI-powered nutrition platform processing multimodal inputs for automated diet and meal insights.
Guided 50+ students in optics, night-sky photography coordinates, and image processing workflows during the Cosmic Walk 3.0 event.
Across LeetCode, Codeforces, GeeksforGeeks, and AtCoder.
With 800+ optimized algorithmic solutions submitted.
Competitive programming active participant.
Freshers Division, competing against 150+ teams in 24h build.
I am looking for SWE / AI Internships for 2026 & 2027. If you have an opening or want to discuss systems engineering, feel free to drop a message.