Jurollu Balakrishna
AI/ML Engineer | Generative AI | Deep Learning | MLOps | AWS | Building Scalable Intelligent Systems at Enterprise Scale
- Role
- Ai Ml Engineer at Amazon
- Location
- Cincinnati, OH, US
- LinkedIn followers
- 500 followers
About Jurollu Balakrishna
Seasoned AI/ML Engineer with 3+ years of experience designing and deploying scalable machine learning systems, predictive analytics pipelines, and deep learning solutions for global enterprise clients including Amazon and Flipkart. Expert in building end-to-end intelligent systems leveraging Generative AI, Deep Learning, Big Data, and MLOps across cloud platforms. Strong background in transforming complex business challenges into production-grade AI solutions with measurable impact. Core strengths include: Scalable ML system design Real-time AI applications Cloud-native deployments Advanced analytics & automation Cross-functional collaboration & technical leadership Passionate about building robust, automated, and enterprise-ready AI systems using modern tools like TensorFlow, PyTorch, Docker, Kubernetes, AWS, and CI/CD pipelines.
Experience
Ai Ml Engineer
Jun 2024 — Present · US
Developed real-time recommendation systems using collaborative filtering, deep learning, and large-scale feature engineering. Built customer personalization models to enhance search ranking and product discovery. Designed demand forecasting models for inventory optimization using time-series algorithms (LSTM, Prophet, XGBoost). Implemented fraud detection and anomaly detection systems using ensemble ML techniques. Built scalable data pipelines on AWS integrating S3, EC2, and SageMaker for model training and deployment. Developed LLM-based customer support automation using Generative AI for query classification and response Established robust MLOps pipelines with Docker, Kubernetes, MLflow, and CI/CD workflows. Impact Highlights: Improved recommendation accuracy by 18% Reduced model deployment time by 30% Enhanced operational efficiency through automated forecasting systems Increased customer engagement metrics via AI-driven personalization
Education
Gandhi Institute of Technology and Management (GITAM)
Bachelor's degree, Computer Science
University of Cincinnati
Master's degree, Information Technology
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