I'm a pre-final-year Computer Science undergraduate at MS Ramaiah Institute of Technology. I enjoy building AI-driven systems, backend services, and full-stack projects with a focus on real-world performance, retrieval-augmented generation (RAG), and secure communication systems. I like turning research ideas into production-ready prototypes.

(Short descriptions — full details & code can go in each project's repo)

• Adaptive Learning System
  AI-driven personalized learning platform using multi-agent LLM question generation, fuzzy logic, reinforcement learning, and knowledge-graph traversal.

• VibeAlgo AI
  Platform for algorithm analysis, time-space complexity evaluation, and interactive visualizations.

• AI-Enhanced Secure Email System
  Educational full-stack email platform implementing SMTP/IMAP/POP3 with TLS/SSL and AES-256 content encryption plus AI-based phishing detection.

• Automated Vacation Request System (DMS-AVRS)
  Rule-based scheduling optimizer using graph theory (conflict graphs, graph coloring, MIS) for team coverage and conflict resolution.

• B.Tech, Computer Science — MS Ramaiah Institute of Technology, Bengaluru (2023–2027) — CGPA: 9.125.
• Vahani Scholarship Trust — Undergrad Scholar (one of 50 nationwide).
• Jawahar Navodaya Vidyalaya, Pakyong — Higher Secondary (2016–2023), 85.6%.

• Selected as Vahani Scholar (financial scholarship for undergraduate studies).
• 1st place — Solutions Lab: Collaborative Problem-Solving at Vahani Winter Conference (Jan 2025).
• Participated in wHACKiest’ 2024 (CodeRIT), placed in several campus contests (Dec 2024).
• Qualified in NCC (holds ‘B’ Certificate).

• Languages: C, C++, Java, Python.
• Databases & infra: MongoDB, PostgreSQL, Redis, Docker.
• ML / NLP: Transformers (T5-style), embeddings, FAISS, RAG pipelines.
• Others: MS Word/Excel, Canva, video editing.

I enjoy converting algorithmic theory into visual, interactive tools — and I push for performance and clear complexity analysis in most projects.