Dheeraj Balabadra

AI/ML Engineer with 2 years 1 month of experience building and deploying machine learning models, LLM applications, and RAG systems in production. Skilled across the full ML lifecycle like data analysis, feature engineering, model training and evaluation, and deployment. With hands-on work in Generative AI, agentic workflows, and retrieval systems. Strong foundation in statistics, Python, and MLOps for shipping reliable, observable AI products.

Software Engineer at BizAcuity (2024-07 – 2026-07)

data analytics and gaming BI solutions company

• Built and deployed ML and GenAI features across the company's gaming analytics products and internal tools, spanning data exploration, feature engineering, model training, evaluation, and production serving.
• Developed the player churn prediction model that powers retention workflows in Gamwit, the company's real-money gaming platform, helping the retention team prioritize at-risk players.
• Built RAG and agentic LLM applications with hybrid retrieval, query rewriting, re-ranking, and prompt guardrails, plus an LLM evaluation harness that measures groundedness and catches regressions before release.
• Engineered SQL and AWS (S3, Lambda) data pipelines to transform raw event data into model-ready features for classification and regression models.
• Designed FastAPI microservices for real-time model and LLM inference with authentication and session management, keeping p95 latency low under concurrent load.
• Set up Docker-based deployment with CI/CD, model monitoring, and MLflow experiment tracking, improving reliability and reducing iteration time for model updates.

Master's in Data Science – IIIT Hyderabad (2022-08 – 2024-04)

B.Plan in Bachelor of Planning – School of Planning and Architecture, Bhopal (2018-08 – 2022-04)