Building production-grade AI systems with a research-driven approach. Specializing in AI Agents, LLM fine-tuning, Full Stack Web Development Applications and privacy-first solutions.
I approach AI engineering with a systems mindset—understanding how components interact, fail, and scale to build robust, production-ready solutions.
Research-first approach with hands-on experiments in LLM fine-tuning, hallucination mitigation, and large context window optimization. Deep understanding of transformer architectures.
9.33 CGPA in GenAI Minor covering AI/ML/DL, LLMs, and AI Agents. Self-taught LangChain, LangGraph, and advanced prompting. 500+ competitive programming problems solved.
Shipped 4+ production-ready AI projects—from multi-agent financial systems to offline LLM deployments. 40% performance optimization. Focus on clean architecture and scalability.
Building systems where AI is the core intelligence, not just an add-on. Focused on autonomous agents that reason, plan, and execute.
Strong foundations in system design, API architecture, and scalable infrastructure. The backend powers everything.
Committed to building AI that respects user privacy. Offline LLMs, local inference, and data sovereignty.
Every project starts with understanding the latest research. Building bridges between papers and production.
IIIT Dharwad
2023 - 2027
IIIT Dharwad
2024 - 2026
Foundations of AI/ML/DL, LLMs, Generative AI, AI Agents
Andhra Pradesh State Board of Intermediate Education
2021 - 2023
"AI Architect and problem solver with a research-first mindset. Pursuing B.Tech in Data Science & AI with a Minor in Generative AI (9.33 CGPA). Built 4+ production-grade AI systems including multi-agent financial advisors and privacy-preserving synthetic data generators. Solved 500+ DSA problems demonstrating strong algorithmic thinking. Passionate about bridging cutting-edge research with practical, scalable implementations."
Real systems built with real constraints. Each project represents a deep dive into solving complex problems with AI-first architectures.
Developed financial AI agents using LangChain and LangGraph to provide personalized financial recommendations and automated planning.
Designed and developed an offline synthetic data generation system using a locally hosted Mistral-7B LLM, eliminating dependency on external APIs and ensuring complete data privacy.
Integrated WebSockets to enable real-time message updates and connected a trained medical ML model via API to provide specialized, context-aware responses.
Developed frontend features for multi-step flight booking with React.js, implementing dynamic form handling and state management. Optimized application performance, reducing page loading time by 40% through code splitting and lazy loading.
These are just a few highlights. I'm a passionate developer who loves building and experimenting with new technologies. Check out my GitHub for more projects, experiments, and contributions!
Explore More on GitHubContinuous learning through hands-on experimentation. Bridging the gap between cutting-edge research and practical implementation.
Exploring efficient fine-tuning techniques for domain-specific LLMs using LoRA and QLoRA approaches
Investigating methods to effectively utilize and optimize large context windows in modern LLMs
Developing techniques to reduce hallucinations in LLM outputs through retrieval augmentation and validation
Building persistent memory systems for AI agents with long-term planning capabilities
Extending agent architectures to handle vision, audio, and text seamlessly
Implementing privacy-preserving model training across distributed systems
I believe in learning by building. Every experiment is an opportunity to understand the nuances of AI systems—what works, what doesn't, and why. The goal is not just to replicate papers, but to internalize concepts deeply enough to apply them creatively.
A deep technical foundation across AI/ML, backend systems, and full-stack development.
Competitive programming, hackathons, and academic excellence—proof of consistent dedication and problem-solving ability.
Top 5% among 1M+ participants
Top 1%
Olympiads Qualified
Top 1%
Technical deep-dives, learnings from building AI systems, and thoughts on the future of AI engineering. Coming soon.
I'm currently working on detailed write-ups about AI system design, agent architectures, and lessons learned from building production AI systems.
A deep dive into orchestrating multiple AI agents for complex reasoning tasks. Exploring state management and agent communication patterns.
How to architect scalable AI systems that handle real-world constraints like latency, cost, and reliability.
Exploring offline LLM deployment with Mistral-7B. Trade-offs, optimizations, and real-world applications.
From data preparation to deployment—a comprehensive guide to fine-tuning large language models for domain-specific tasks.
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Interested in collaborating on AI projects, discussing research, or just want to chat?
Open to internships and full-time roles in AI/ML engineering, GenAI development, and backend systems.