Uday Puligilla

Machine Learning Engineer with three plus years delivering end-to-end ML solutions and deploying pre-trained LLMs into production. Expert in Python, PyTorch, scikit-learn, MLFlow, FastAPI plus Docker, MLOps, continuous integration continuous delivery, model monitoring, and cloud deployment across Azure ML, Vertex AI, and GCP.

Machine Learning Engineer at Code Ninjas (2025-02 – Present)

• Deployed scikit-learn classification models plus pre-trained LLMs via FastAPI plus Docker serving 150+ daily predictions with 99.9% uptime and p95 latency less than 300ms.
• Built end-to-end MLOps pipeline using GitHub Actions CI/CD, automating model training, Pytest validation, container builds, and deployment to Azure Container Apps.
• Engineered feature pipelines with pandas and SQL consolidating multi-source EdTech data, ensuring 100% GDPR compliance while improving ML input quality by 35%.
• Implemented production-grade ML services: request validation, structured logging, health checks, model versioning, and cross-functional API integration.
• Core Technologies: Python, PyTorch, FastAPI, Docker, Azure ML, GitHub Actions (CI/CD), MLFlow, SQL.

Machine Learning Engineer / Backend Developer at YuppTV (2021-05 – 2023-01)

• Engineered high-throughput data pipelines and feature stores using Python and SQL to process 1M+ daily streaming events, powering real-time recommendation engines and viewer behavioral analysis.
• Optimized backend architecture using Asyncio, achieving a 40% reduction in API latency during peak traffic and ensuring low-latency environments for real-time ML inference.
• Architected robust ETL workflows and automated data validation layers, improving data integrity for downstream models targeting user engagement and churn prediction.
• Orchestrated production system reliability through Git workflows and proactive error monitoring, maintaining 99.9% uptime for business-critical analytics and ML-driven services.
• Core Technologies: Python (Asyncio), SQL, ETL Pipelines, Git, API Optimization, Monitoring Tools.

MSc in Data Science with Advanced Research – University of Hertfordshire (2023-01 – 2025-02)

B.Tech in Computer Science and Engineering – JNTU Hyderabad (2016-06 – 2020-12)