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I am an AI/ML and full-stack engineer passionate about building end-to-end intelligent systems. I design and deploy robust ML pipelines, develop scalable backends with Java Spring Boot, and create delightful front-end experiences with React and Angular. My work spans deep learning, RAG/LLM frameworks, vector databases, and production-grade MLOps across cloud platforms.\n\nI enjoy leading cross-functional initiatives, mentoring engineers, and ensuring solutions are secure, compliant, and ethical. I translate complex data problems into practical, business-focused outcomes and deliver reliable AI-powered applications for manufacturing, retail, and enterprise automation.…I am an AI/ML and full-stack engineer passionate about building end-to-end intelligent systems. I design and deploy robust ML pipelines, develop scalable backends with Java Spring Boot, and create delightful front-end experiences with React and Angular. My work spans deep learning, RAG/LLM frameworks, vector databases, and production-grade MLOps across cloud platforms.\n\nI enjoy leading cross-functional initiatives, mentoring engineers, and ensuring solutions are secure, compliant, and ethical. I translate complex data problems into practical, business-focused outcomes and deliver reliable AI-powered applications for manufacturing, retail, and enterprise automation.

Ravina Chatla

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am an AI/ML and full-stack engineer passionate about building end-to-end intelligent systems. I design and deploy robust ML pipelines, develop scalable backends with Java Spring Boot, and create delightful front-end experiences with React and Angular. My work spans deep learning, RAG/LLM frameworks, vector databases, and production-grade MLOps across cloud platforms.\n\nI enjoy leading cross-functional initiatives, mentoring engineers, and ensuring solutions are secure, compliant, and ethical. I translate complex data problems into practical, business-focused outcomes and deliver reliable AI-powered applications for manufacturing, retail, and enterprise automation.…I am an AI/ML and full-stack engineer passionate about building end-to-end intelligent systems. I design and deploy robust ML pipelines, develop scalable backends with Java Spring Boot, and create delightful front-end experiences with React and Angular. My work spans deep learning, RAG/LLM frameworks, vector databases, and production-grade MLOps across cloud platforms.\n\nI enjoy leading cross-functional initiatives, mentoring engineers, and ensuring solutions are secure, compliant, and ethical. I translate complex data problems into practical, business-focused outcomes and deliver reliable AI-powered applications for manufacturing, retail, and enterprise automation.

Available to hire

I am an AI/ML and full-stack engineer passionate about building end-to-end intelligent systems. I design and deploy robust ML pipelines, develop scalable backends with Java Spring Boot, and create delightful front-end experiences with React and Angular. My work spans deep learning, RAG/LLM frameworks, vector databases, and production-grade MLOps across cloud platforms.\n\nI enjoy leading cross-functional initiatives, mentoring engineers, and ensuring solutions are secure, compliant, and ethical. I translate complex data problems into practical, business-focused outcomes and deliver reliable AI-powered applications for manufacturing, retail, and enterprise automation.

Skills

Experience Level

Expert

Expert

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Intermediate

Intermediate

Work Experience

Data Scientist - AI/ML Engineer at Meta

June 1, 2024 - Present

Architected and deployed global-scale AI/ML and LLM pipelines across hybrid-cloud environments (AWS, Azure, GCP), engineered high-throughput backend microservices with Java Spring Boot and REST APIs, integrated with React frontends, designed Kafka-based real-time event streaming, developed AI agents and RAG/knowledge-graph systems, and led Copilot-like POCs and multi-agent workflows while ensuring governance and security.

Data Scientist – AI/ML Engineer at Walmart

December 1, 2022 - May 31, 2024

Designed scalable ML pipelines with PySpark/Spark MLlib on GCP Dataproc handling 100M+ transactions; built XGBoost/Random Forest models with automated drift detection and CI/CD; implemented real-time anomaly detection and time-series forecasting; fine-tuned transformers with RAG prototypes for semantic search; conducted A/B testing for prompts; developed full-stack analytics tools and containerized services; built feature stores in BigQuery/Snowflake; delivered NLP pipelines and production-grade LLM systems on Azure OpenAI/SageMaker; orchestrated Airflow workflows and DVC-based MLOps.

Data Analyst at Capgemini India

February 1, 2017 - October 1, 2021

Managed reporting, analytics, ETL, and data warehouse development; built BI dashboards; migrated reports to Power BI; designed data warehouses; optimized ETL with indexing/partitioning; performed data profiling and anomaly resolution; automated recurring BI reports and documented production releases; mentored junior analysts in Agile SDLC.

Data Scientist – AI Engineer at Walmart

December 1, 2022 - May 1, 2024

Designed and deployed scalable ML pipelines using PySpark on GCP Dataproc processing 100M+ retail transactions to optimize pricing, demand forecasting, and inventory management. Trained and deployed high-performance supervised models (XGBoost, Random Forest) on Vertex AI with automated drift detection and CI/CD. Performed feature engineering and hyperparameter tuning to improve prediction accuracy for e-commerce recommendations. Implemented real-time anomaly detection and time-series forecasting on Vertex AI to strengthen fraud detection and risk assessment across global payments. Fine-tuned transformer models and integrated RAG prototypes to enhance semantic search for customer support and internal knowledge bases. Executed large-scale A/B testing to optimize LLM prompt engineering, directly improving conversational AI accuracy. Built full-stack portfolio analytics tools using Java Spring Boot and Angular, enabling streamlined reporting for Walmart's logistics network. Deployed contai