I am a Computer Science Engineer passionate about full-stack development, artificial intelligence, and quantum computing**, with experience across research labs, academic institutes, and AI startups.
My work focuses on solving NP-hard optimization problems, developing quantum-inspired algorithms, and building LLM-driven intelligent systems. I have published as first author in international journals and IEEE conferences on topics including graph domination problems, quantum key distribution, and quantum optimization.
At Annam.AI (IIT Ropar), I fine-tuned large language models (DeepSeek 70B) for educational content generation and built scalable AI pipelines deployed on GCP.
At the Artificial Intelligence Institute of South Carolina, I created an LLM-based multi-agent simulation framework to model real-world urban dynamics.
Previously, at NIT Warangal, I worked on meta-heuristic algorithms for the Quasi Total Double Roman Domination Problem, achieving a 97% success rate across datasets.
- Full Stack Development
- Quantum Computing & Cryptography
- Combinatorial Optimization & Algorithms
- LLM-based Multi-Agent Systems
- Generative AI & Enterprise AI
- Ranked Top 0.1% in NPTEL Cloud Computing among 30,000+ participants
- First-author publications in RAIRO-ITA, IEEE ICCCNT, MCCS 2025
Feel free to explore my repositories and connect with me!