Open to opportunities

Tanmay User

@tanmayuser2

Message

I build reliable AI systems, LLM infrastructure, and computer vision pipelines.

India

Message

I've built AI and platform systems at Flexzistay and Senso Vision Systems, from hotel information extraction and MCP tools to synthetic industrial-defect data pipelines using GANs, diffusion models, and LoRA fine-tuning.

I'm also an open-source contributor to KServe and MLflow, implementing model artifact verification and evaluation integrations. My projects span provider-agnostic LLM gateways, exoplanet detection from NASA TESS data, music classification, and personalized AI news workflows using Python, FastAPI, PyTorch, Kubernetes, and PostgreSQL.

Experience

Work history, roles, and key accomplishments

Current

Software Intern

Current

Flexzistay

Jun 2026 - Present (2 months)

Built a hotel information extraction pipeline using Playwright and BeautifulSoup to collect hotel metadata from travel platforms. Developed an MCP server exposing hotel search, recommendation, comparison, and summarization tools through the Flexzistay API.

Playwright BeautifulSoup MCP API Development Testing

Machine Learning Intern

Senso Vision Systems

Jun 2025 - Aug 2025 (2 months)

Developed a synthetic data generation pipeline using GANs and diffusion models to generate high-quality industrial defect samples for training computer vision models. Applied LoRA-based fine-tuning on Stable Diffusion to control defect attributes, improving dataset diversity and model generalization.

Gan Diffusion Models LoRAs Stable Diffusion Computer Vision