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AI • Python • Web(HTML,CSS,JS)
Java • C++ • C • Git & GitHub
Learning:—Machine Learning, Deep Learning, Computer Vision, LLMs.
AI Research:— Benchmarking Vision Language Models (Qwen2-VL, Phi-3, LLaVA, PaliGemma) on road-scene understanding, object counting, and image description tasks.
Exploring:— Hugging Face Transformers, model fine-tuning, quantization, RAG, and AI agents.
Currently reading:— Papers on multimodal AI, efficient LLM inference, and computer vision.
Backend:— Exploring Node.js, Express.js, REST APIs, authentication (JWT), databases (MongoDB & PostgreSQL), and scalable backend architecture.
Goal:— Becoming a Backend Developer who builds scalable web services and AI-powered applications with clean, efficient architecture.
Dr.Akhilesh Das Gupta Institute of Professional Studies
G.B. Pant Institute of Technology
Tinu Public School
A benchmarking pipeline evaluating four vision-language models — Phi-3, Qwen2-VL, LLaVA, and PaliGemma — on road-scene QA tasks using the Roadscapes dataset. Models were scored across Object Counting, Object Description, and Surrounding Description, separately for day and night conditions, with automated comparison tables and charts generated for category-wise and overall accuracy.
Python • Pandas • NumPy • Matplotlib • Hugging Face Transformers • Vision-Language ModelsAn engineering intelligence platform that extracts code structure, languages, imports, functions, API endpoints, and architectural insights from local and public GitHub projects. includes produced architectural, API, and test-intelligence documentation with GitHub OAuth, MongoDB persistence, scoped MCP access tokens, source-grounded repository Q&A, Git change-impact analysis, automatic security scanning, and evidence-backed code search.
JavaScript • Node.js • MongoDB • OpenAI API • GitHub OAuth • MCP🚧 In Development.
JavaScript • API🚧 In Development.
UnknowGained hands-on experience with industrial product development and engineering workflows by helping with design and engineering tasks. Worked together with the design team to comprehend product design procedures, precise engineering needs, and technical specifications. developed a solid grasp of industry best practices and professional design standards while contributing to technical documentation.
I received hands-on experience with railway coach repair and inspection procedures while completing industrial training at the Railway Coach Care Center. worked alongside RTR machine inspections, took part in train roll-in and roll-out operations, and gained a solid understanding of safety procedures, quality inspection methods, and preventative maintenance techniques in an industrial setting.
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