Looking for a job

Sunayana Yadav

@sunayanayadav

Message

I build real-time computer vision and RAG systems with Python.

India

Message

What I'm looking for

I'm seeking opportunities in AI/ML, computer vision, data analytics, or full-stack development where I can build real-time detection, tracking, RAG, and end-to-end ML systems.

I've built real-time sports analytics systems at SportVot using YOLOv11 and OpenCV for multi-object player and ball tracking. I also developed DRS-style Hawk-Eye trajectory visualization pipelines using Kalman filtering.

I've created legal RAG applications with LangChain, ChromaDB, FastAPI, and Next.js, alongside end-to-end ML pipelines for preprocessing, training, evaluation, and inference. My work spans computer vision, AI/ML, full-stack development, and data analytics.

Experience

Work history, roles, and key accomplishments

Current

Computer Vision Intern

Current

SportVot

Apr 2026 - Present (5 months)

Engineered AI-powered sports analytics systems using YOLOv11 and OpenCV for real-time multi-object player and ball tracking. Streamlined model training workflows via Roboflow-assisted dataset annotation and preprocessing, improving detection accuracy across diverse match conditions.

Python YOLOv11 OpenCV Roboflow Kalman Filter Deep Learning

AI/ML Intern

SportVot

Dec 2025 - Apr 2026 (4 months)

Architected RAG-based AI applications using LangChain, vector embeddings, ChromaDB, and LLM APIs for intelligent document retrieval. Developed and deployed end-to-end ML pipelines covering data preprocessing, model training, evaluation, and production inference APIs.

Python Lang Chain fastAPI ChromaDB LLM APIs React NodeJS MongoDB