Neural Vision OCR & Document Parser
2026An automated deep learning pipeline for processing unstructured document scans and extracting key tabular data with high precision using vision transformer models.
I'm Sharath Kumar, a final-year BCA student interested in AI engineering, software development, and building useful digital products.
I am a final-year Bachelor of Computer Applications (BCA) student with a strong focus on AI engineering and software development. My primary interest lies in building practical machine learning pipelines and dependable backend services that convert complex data into actionable software. I enjoy taking ideas from initial mathematical concepts to working, production-ready applications.
Python · C · AI/ML · PyTorch · LLMs · RAG · MCP · NumPy · Pandas · Matplotlib · SQL · DSA · REST APIs
An automated deep learning pipeline for processing unstructured document scans and extracting key tabular data with high precision using vision transformer models.
A high-throughput machine learning forecasting model designed to predict demand spikes and inventory variance across multi-category dataset streams.
A Retrieval-Augmented Generation (RAG) system utilizing vector embeddings to query complex technical documentation and return concise, grounded answers.
An asynchronous backend microservice implementing MCP to connect LLM agents directly with SQL databases, APIs, and analytical tools via standardized tool calling.
I'm open to internships, collaborations, and opportunities in AI and software engineering.