Hi there,

I’m a Computer Science and Engineering graduate from the National Institute of Technology Rourkela, focused on the engineering of intelligent and autonomous computing systems that can turn knowledge and reasoning into executable work.

At Hero Housing Finance, I work on building AI systems and intelligent automation across knowledge retrieval, agentic tool use, enterprise software, GPU-accelerated inference, and cloud infrastructure. My work includes building production LLM applications and assistants, deploying MCP-based architectures to connect agents with enterprise APIs and data sources, and evolving monolithic systems into service-oriented architecture. My work increasingly focuses on how intelligent systems connect knowledge, reasoning, tools, and computation to perform useful work.

My Bachelor’s thesis implemented a Computer Vision project for Autonomous Driving. It proposed an architecture to enable hardware-level parallelism for parallel perception of the environment from multiple sensor data, hence leading to quicker scene understanding and decision-making ability for high-speed autonomous systems.

I have experience in cloud computing and building data solutions on Microsoft Azure. During my internship at TVS Motor Company, I built ETL pipelines and automated manual data processing using Azure Data Factory and Azure Databricks.

My expertise spans Machine Learning, Deep Learning, distributed and heterogeneous computing, with hands-on experience working with Hugging Face open-source models, LLM APIs, and deploying these models for GPU-accelerated inference across local and cloud platforms such as AWS. I’m particularly interested in how intelligent workloads can be designed, optimized, and distributed across computing environments with a growing focus on High Performance Computing.