I am a Final-year Bachelor of Technology student at the Indian Institute of Technology (BHU), Varanasi, specializing in artificial intelligence, machine learning, and scalable data engineering. My academic and professional focus lies at the intersection of advanced AI/ML architectures and Infrastructures.
My repositories showcase a blend of academic research implementations, end-to-end data pipelines, active open-source contributions and random experiments.
- Generative AI & LLM Systems: I architect regulatory-grade, hierarchical Retrieval-Augmented Generation (RAG) workflows for financial intelligence. My work involves building hybrid multi-agent architectures utilizing Llama-3.1, LangChain, and AutoGen.
- Computer Vision & Synthetic Data: I experiment with and fine-tune latent Stable Diffusion models using PyTorch, optimizing conditioning mechanisms to generate high-fidelity synthetic data for autonomous vehicle perception.
- Scalable Machine Learning: I engineer enterprise-level predictive pipelines, leveraging frameworks like XGBoost and Snowflake Cortex AI to deploy real-time intelligence and demand models.
- Open-Source Development: I try to actively contribute to the broader developer community, which includes merging optimizations into core generative AI pipelines like the Hugging Face
diffusersrepository. - Algorithmic Problem Solving: I maintain a strong foundation in algorithms and competitive programming, reflecting my Specialist rank on Codeforces.
I am deeply passionate about pushing the boundaries of AI research, particularly in NLP and AI infrastructure tools. I am also highly interested in financial machine learning and building deterministic, transparent AI systems that resolve complex data challenges.