Ganesh B

AI/ML Engineer with 4+ years of experience building scalable machine learning, Agentic AI, Generative AI, and cloud-native applications across healthcare, e-commerce, and financial services domains. Experienced in developing LLM-powered applications, RAG pipelines, semantic search systems, intelligent automation workflows, and real-time data platforms using Python, TensorFlow, PyTorch, LangChain, OpenAI, Hugging Face, FastAPI, Spark, Kafka, Docker, Kubernetes, AWS, and Azure. Strong background in backend engineering and distributed systems with expertise in deploying production-grade AI services, optimizing inference performance, and building scalable ML infrastructure.

AI/ML Engineer at Citi Bank (2025-02 – Present)

• Built enterprise-scale Generative AI and LLM-powered applications using OpenAI, LangChain, and vector databases to automate intelligent business workflows and knowledge retrieval.
• Developed scalable ML inference services and REST APIs using Python, FastAPI, Docker, and Kubernetes for real-time AI applications.
• Designed and deployed Agentic AI workflows using LangChain, LangGraph, prompt orchestration, semantic search, and tool integration to automate enterprise decision-making and intelligent task execution.
• Engineered large-scale data pipelines using Spark, Kafka, and SQL to process structured and unstructured datasets for AI/ML workloads.
• Implemented LLM evaluation, monitoring, and optimization frameworks to improve response accuracy and reduce hallucinations.
• Optimized AI model inference performance and deployment scalability across distributed cloud environments.
• Collaborated with cross-functional engineering teams to integrate AI services into secure enterprise microservices architecture.

ML Engineer at eBay (2021-05 – 2023-07)

• Developed and deployed machine learning models using Scikit-learn, XGBoost, TensorFlow, and PyTorch for recommendation systems, predictive analytics, and intelligent search applications.
• Built semantic search and NLP pipelines using embeddings and vector search technologies to improve search relevance and personalization.
• Designed scalable backend APIs and ML services using Python, FastAPI, Spring Boot, and Docker.
• Implemented real-time event-driven data processing pipelines using Kafka and Spark for large-scale analytics and ML workflows.
• Automated CI/CD and cloud-native deployments using Docker, Kubernetes, and GitHub Actions to improve reliability and scalability.
• Improved model performance and system efficiency through feature engineering, hyperparameter tuning, and distributed processing techniques.
• Worked closely with data science and engineering teams to productionize AI models within high-traffic distributed systems.

ML Engineer at Clario (2020-10 – 2021-05)

• Built AI-driven healthcare analytics solutions using Python, TensorFlow, and NLP techniques for intelligent data processing and reporting.
• Developed scalable AI and backend services using FastAPI, Spring Boot, and REST APIs for enterprise applications.
• Engineered ML pipelines for preprocessing, feature extraction, and predictive analytics on large-scale structured and unstructured datasets.
• Automated deployment and monitoring workflows using Docker, Kubernetes, and CI/CD pipelines to streamline AI model releases.
• Optimized backend services and database performance, improving processing efficiency and application reliability.
• Collaborated with cross-functional teams to integrate machine learning capabilities into existing enterprise systems.
• Improved scalability and operational performance of cloud-native AI applications through infrastructure optimization.

Master's in Computer and Information Sciences – New Jersey Institute of Technology (2023-09 – 2024-12)