I build systems that could potentially replace me :)
I’m Peeyush, an AI & ML engineer with 2+ years of experience in designing and deploying production-ready ML systems. From bootstrapping a startup in college to working with clients like Amazon, Rappi, and Zomato, I’ve built solutions that drive measurable business impact.
My expertise spans data pipelines, agentic frameworks, RAG systems, and MLOps. I work across ML and backend systems, leveraging tools like AWS, Docker, vector databases, transformers, and Redis.
If you'd like to have a chat, drop me an email at mrpeeyushgaur@gmail.com or just say hi 👋
Experience Highlights:
- Rocketium → Designed and deployed Bifrost Data Pipeline, contributing to the Creative Analytics at Rocketium. Built brand safety algorithms for Amazon & Rappi, enabling onboarding of Axis Bank.
- Harman DTS (Samsung) → Developed ForecastGPT (87.8% forecast accuracy, featured in Business World & Economic Times). Built anomaly detection for Zomato logs and a Generative AI CMS.
- NOLO Technologies (Founding Member) → Bootstrapped persona bots for 17 celebrities, engaging 41K+ users and scaling revenue by $80K+.
Selected Projects:
- Bifrost - Data Pipeline → PySpark + AWS Glue pipeline for Creative Analytics; 100x scalability boost.
- ForecastGPT → Predictive analytics platform, achieving 87.8% accuracy in sales forecasts.
- Askcribe → RAG-based Q&A tool with LangChain agents, OpenAI, and Pinecone vector DB.
- Lawphoria (Publication) → AI chatbot delivering legal advice using GPT + vector databases.
Skills:
Machine Learning • Generative AI • Applied AI • MLOps • Computer Vision • RAG Systems • Data Pipelines • AWS • Docker • Git • LangChain • Agentic AI (CrewAI) • Redis
GitHub Stats:
