About Me
Building AI systems that don't just work in notebooks — they work in production.
I'm Abhilash Ganji, a Senior Data Science Engineer at EPAM Systems in Hyderabad and a former Amazon engineer. Over the past 7+ years, I've designed and deployed machine learning systems that operate at massive scale — from recommendation engines serving millions of users to transformer-based NLP models predicting business-critical outcomes.
My work sits at the intersection of research and engineering. I don't just build models — I build complete ML systems: data pipelines, training infrastructure, serving layers, and monitoring. Whether it's designing agentic AI workflows with multi-agent orchestration, fine-tuning LLMs with RAG architectures, or building real-time recommender systems, I obsess over taking AI from prototype to production.
"The best AI systems are invisible — they just make things work better. My philosophy is to build AI that's reliable, scalable, and creates measurable impact. Not impressive demos, but systems that survive Monday morning traffic."
Beyond engineering, I'm a national-level racer and competition winner at IIM Bangalore — I bring the same competitive intensity and precision to every ML problem I tackle.
My Journey
Agentic AI workflows, RAG pipelines, LLM-powered tools, recommender systems, and AI forecasting platforms
BERT fine-tuning, CNN/ResNet computer vision, 10B+ row pipelines, anomaly detection, forecasting
Sales prediction, customer churn models, NLP web scraping, $1.4M cost optimization
Top 5 percentile · Data Science & Engineering foundations
First Class · Engineering foundations