Vineet Kumar
about

I am a Computer Science and Engineering undergraduate specializing in Artificial Intelligence, with practical experience in backend development and applied machine learning.
I have also built end-to-end products such as a one-click website chatbot using RAG pipelines and a real-time music streaming platform using WebSockets.
I am currently focused on strengthening my skills in AI systems, backend architecture, and scalable software development.

experience
2025
Data Scientist Intern Tensor Solution Tech
• As a Data Scientist Intern at Tensor Solution Tech Pvt. Ltd., I am contributing to AI-driven search solutions. I explore and implement AI techniques, including agents and tools to enhance search capabilities.
• Developed advanced search systems supporting vector, keyword, image-to-image, text-to-image, speech-to-speech, speech-to-text, and text-to-speech queries, enabling fast and multi-modal retrieval.
• Designed and deployed robust FastAPI-based microservices for tasks like image captioning, OCR, translation, language detection, and audio-text conversions.
• Integrated LLMs and ML models from Hugging Face and other sources to power intelligent tool-calling and agent-style reasoning in conversational search pipelines.
• Built a dynamic agent-based search framework that gathers, analyzes, and synthesizes information before responding — mimicking human-like query reasoning.
• Created and integrated a Shopify plugin to bring these AI-powered services directly into merchant workflows for enhanced product discovery.
Technologies - Python, FastAPI, MongoDB, Typesense, LangChain, Transformers, HuggingFace, Docker, Pydantic
projects
Promptly
A platform that scrapes and indexes a client website using a custom recursive web scraper into a vector database. The chatbot UI is deployed with a single script-tag injection, provided at the same time, that serves RAG-style, context-aware answers through an API.
Tech Stack: FastAPI, Vite, Google Generative AI, Typesense, MongoDB, Docker
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Jamming
A platform to JAM songs with friends anywhere in the world, like Spotify Premium. It allows multiple users to join and listen to the same music with very low latency. They can add new songs to the queue and upload whatever music they want to play.
Tech Stack: FastAPI, WebSockets, JavaScript, Docker