Open to opportunities

Yash Janjal

@yashjanjal

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AI/ML graduate building production-ready data and NLP/vision pipelines.

India

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What I'm looking for

I’m looking for a role where I can build production-oriented data and AI pipelines—ETL, web scraping/automation, and NLP/CV workflows—and deploy reliably on cloud platforms, while collaborating with teams on quality thresholds and failure cases.

I’m a B.Tech AIML graduate with internship experience building data processing and AI pipelines. During my AI Developer Intern role at Sabhyasha RetailTech Pvt. Ltd., I built an image quality filtering pipeline for ~30K product images using blur detection and object/hand filtering, then containerized the CV pipeline with Docker and deployed it on Google Cloud Run.

I’ve also delivered end-to-end data work through projects like a concurrent web scraping pipeline (Playwright + asyncio) for 100K+ records, structured JSON pipelines with error-handling/logging, and ETL workflows for analytics. On the ML/NLP side, I built a GenAI + NLP test case generator using prompt-based LLM workflows and developed a virtual try-on system fine-tuned with Stable Diffusion using LoRA and ComfyUI.

Experience

Work history, roles, and key accomplishments

AI Developer Intern

Sabhyasha RetailTech Pvt. Ltd.

Jun 2025 - Aug 2025 (2 months)

Built an image quality filtering pipeline for ~30K product images using blur detection and object/hand filtering to reduce unusable catalog images and lower inference waste. Containerized the CV pipeline with Docker and deployed it on Google Cloud Run, partnering with the product team to define failure cases and quality thresholds.

Python Computer Vision Blur Detection Object Hand Filtering Docker Google Cloud Run Data Pipelines

Education

Degrees, certifications, and relevant coursework

Department of Information & Communication Technology

Bachelor of Technology (B.Tech), Artificial Intelligence & Machine Learning

2021 - 2025

Earned a B.Tech in Artificial Intelligence & Machine Learning (2021–2025). Completed applied projects including large-scale web scraping/ETL and GenAI-NLP workflows for analytics and test case generation.