AI Engineer and Machine Learning Researcher. I build scalable, agentic AI architectures and intelligent systems that solve complex, real-world problems.
I am an AI Engineer and Researcher currently serving as Co-Founder & Chief AI Engineer at Neuroblyx Technologies, and Principal AI System Architect at Voreal AI.
My engineering philosophy is rooted in technical rigor and empirical research. I specialize in building generative models, agentic workflows, and retrieval-augmented systems that scale efficiently in production. Holding a B.Tech in Artificial Intelligence & Machine Learning from SRM Institute of Science & Technology as a Full Ride and COMPEX Scholarship recipient, I bridge the gap between theoretical machine learning and robust software engineering.
PyTorch, TensorFlow, FastAPI, LangChain, Hugging Face
Pinecone, MongoDB, PostgreSQL, AWS, Firebase, Vector Databases
Python, C++, Docker, Git, Linux, MLOps
GenAI-powered multilingual news intelligence platform built during the AI For Bharat Hackathon.
Multilingual AI Assistant for Nepal supporting voice interactions and local language understanding.
Building next-generation Neural Compute Chips and AI infrastructure for high-performance inference.
Autonomous AI framework capable of evaluating and retraining generative models using feedback loops.
AI-powered civic engagement platform using GenAI, intelligent recommendation systems and multilingual support.
Space debris detection and orbital collision prediction system using neural networks.
End-to-end development of AI-native products, from algorithmic research to scalable backend integration.
Designing sophisticated retrieval-augmented generation pipelines and fine-tuning models for proprietary data.
Engineering autonomous, multi-agent systems that can reason, plan, and execute deterministic tasks.
Developing custom CNNs and vision transformers for object detection, segmentation, and multimodal analysis.
Containerizing models and establishing robust CI/CD pipelines for high-throughput, low-latency inference.
Translating cutting-edge academic papers into functional, optimized codebases and architectural proofs of concept.