Student engineer building scalable systems, autonomous AI agents,
and production-grade infrastructure. I make machines think.
I'm a student engineer with deep expertise in backend development, databases, and cloud infrastructure. I design and deploy production-grade systems, from containerized microservices to self-hosted server stacks.
On the AI side, I build autonomous AI agents, machine learning models, and generative AI pipelines. Whether it's fine-tuning models with PyTorch, orchestrating agents with CrewAI, or running local LLMs via Ollama — I build AI that actually works.
I also have a strong background in penetration testing, data security, and security law — so I build systems that are not just powerful, but hardened.
End-to-end server architecture. Nginx reverse proxies, containerized deployments, UFW firewalls, Gunicorn process management. I own the full stack from code to production.
Deep learning with PyTorch & TensorFlow. Autonomous agent orchestration with CrewAI. Local LLMs via Ollama. Computer vision, generative AI, and LLM API integration.
Penetration testing, vulnerability assessment, data security architecture, and security law. I find the holes before the attackers do.
AI-powered health & wellness app built for an MIT hackathon. Leverages LLMs and personalized data to deliver intelligent health insights, habit tracking, and real-time recommendations.
Fully autonomous, goal-driven AI agent framework. Agents plan, execute, and self-correct in pursuit of complex objectives without human intervention. Built with CrewAI and custom orchestration.
Deep learning system for self-optimizing smart trains. Uses real-time sensor data and reinforcement learning to dynamically adjust speed, routing, and scheduling for maximum efficiency.
Full-stack food delivery platform. Complete with real-time order tracking, restaurant management, payment integration, and a containerized microservices backend.
A collection of computer vision experiments: image classification, object detection, generative models, and custom image processing pipelines built with PyTorch and TensorFlow.
Open to internships, collaborations, and interesting problems.
View GitHub ↗