Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Jameela Bhanu Shaik is an AI/ML Engineer with over 4 years of experience building and deploying machine learning and Generative AI systems across enterprise, financial services, and technology environments. She holds a Master of Science in Artificial Intelligence from the University of Bridgeport and a Bachelor of Technology in Electrical and Electronics Engineering from Vel Tech University. Her expertise spans Generative AI, LLMs, RAG, agentic workflows, and production ML systems, with hands-on experience in Python, PyTorch, TensorFlow, LangChain, LangGraph, and AWS. She has successfully built and productionized AI applications at Meta, Mastercard, and HCLTech, improving model performance and delivering scalable AI solutions. Jameela is passionate about leveraging cutting-edge AI technologies to solve real-world problems and is actively seeking opportunities to contribute to innovative, impact-driven organizations.…Jameela Bhanu Shaik is an AI/ML Engineer with over 4 years of experience building and deploying machine learning and Generative AI systems across enterprise, financial services, and technology environments. She holds a Master of Science in Artificial Intelligence from the University of Bridgeport and a Bachelor of Technology in Electrical and Electronics Engineering from Vel Tech University. Her expertise spans Generative AI, LLMs, RAG, agentic workflows, and production ML systems, with hands-on experience in Python, PyTorch, TensorFlow, LangChain, LangGraph, and AWS. She has successfully built and productionized AI applications at Meta, Mastercard, and HCLTech, improving model performance and delivering scalable AI solutions. Jameela is passionate about leveraging cutting-edge AI technologies to solve real-world problems and is actively seeking opportunities to contribute to innovative, impact-driven organizations.

Jameela Bhanu Shaik





Jameela Bhanu Shaik is an AI/ML Engineer with over 4 years of experience building and deploying machine learning and Generative AI systems across enterprise, financial services, and technology environments. She holds a Master of Science in Artificial Intelligence from the University of Bridgeport and a Bachelor of Technology in Electrical and Electronics Engineering from Vel Tech University. Her expertise spans Generative AI, LLMs, RAG, agentic workflows, and production ML systems, with hands-on experience in Python, PyTorch, TensorFlow, LangChain, LangGraph, and AWS. She has successfully built and productionized AI applications at Meta, Mastercard, and HCLTech, improving model performance and delivering scalable AI solutions. Jameela is passionate about leveraging cutting-edge AI technologies to solve real-world problems and is actively seeking opportunities to contribute to innovative, impact-driven organizations.…Jameela Bhanu Shaik is an AI/ML Engineer with over 4 years of experience building and deploying machine learning and Generative AI systems across enterprise, financial services, and technology environments. She holds a Master of Science in Artificial Intelligence from the University of Bridgeport and a Bachelor of Technology in Electrical and Electronics Engineering from Vel Tech University. Her expertise spans Generative AI, LLMs, RAG, agentic workflows, and production ML systems, with hands-on experience in Python, PyTorch, TensorFlow, LangChain, LangGraph, and AWS. She has successfully built and productionized AI applications at Meta, Mastercard, and HCLTech, improving model performance and delivering scalable AI solutions. Jameela is passionate about leveraging cutting-edge AI technologies to solve real-world problems and is actively seeking opportunities to contribute to innovative, impact-driven organizations.

Available to hire

Jameela Bhanu Shaik is an AI/ML Engineer with over 4 years of experience building and deploying machine learning and Generative AI systems across enterprise, financial services, and technology environments. She holds a Master of Science in Artificial Intelligence from the University of Bridgeport and a Bachelor of Technology in Electrical and Electronics Engineering from Vel Tech University.

Her expertise spans Generative AI, LLMs, RAG, agentic workflows, and production ML systems, with hands-on experience in Python, PyTorch, TensorFlow, LangChain, LangGraph, and AWS. She has successfully built and productionized AI applications at Meta, Mastercard, and HCLTech, improving model performance and delivering scalable AI solutions. Jameela is passionate about leveraging cutting-edge AI technologies to solve real-world problems and is actively seeking opportunities to contribute to innovative, impact-driven organizations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Beginner

Work Experience

AI/ML Engineer at Meta

January 1, 2026 - Present

Engineered production LLM and RAG applications using Python, LangGraph, LangChain, OpenAI APIs, and AWS Bedrock, integrating retrieval, tool calling, structured outputs, and guardrails across 5+ AI workflows. Built and optimized retrieval and inference pipelines using embeddings, semantic search, and vector databases (Pinecone/FAISS), improving response relevance by 22% while reducing unnecessary LLM calls. Developed LLM evaluation and monitoring workflows for retrieval quality, groundedness, hallucination, latency, and token usage, analyzing 10K+ evaluation cases to improve prompts, retrieval strategies, and model selection. Productionized AI services with FastAPI, Docker, Kubernetes, and CI/CD, implementing observability with Prometheus, Grafana, and CloudWatch and optimizing inference workflows for reliable deployments. Partnered with product, research, engineering, and platform teams to define requirements and apply AI-assisted coding and troubleshooting.

Machine Learning Engineer at Mastercard

July 1, 2021 - November 30, 2023

Developed and productionized machine learning models for payment and risk analytics using Python, scikit-learn, and TensorFlow for transaction classification, risk scoring, and anomaly detection. Engineered scalable PySpark and SQL data pipelines across 1M+ transaction records, performing cleansing, feature engineering, aggregation, and dataset validation for training and batch inference. Improved model performance through feature selection, hyperparameter tuning, and ensemble benchmarking, increasing F1-score by 18% while balancing precision and recall. Deployed and maintained ML workflows using AWS SageMaker, Docker, and MLflow, managing experiment tracking, versioning, validation, and deployment while troubleshooting data/model issues. Partnered with risk, product, data engineering, and application teams to scope requirements, communicate findings, participate in reviews, and support 30+ enhancements through Agile cycles.

Machine Learning Engineer at HCLTech

April 1, 2020 - July 31, 2021

Developed NLP and text-classification models using Python, scikit-learn, and TensorFlow, applying preprocessing, feature engineering, training, and validation to automate classification of unstructured business data. Built preprocessing/feature-engineering pipelines for 100K+ records, including normalization, tokenization, feature selection, and validation to improve data quality and provide consistent model inputs. Optimized models via hyperparameter tuning and benchmarking, achieving a 15% F1-score improvement across validation datasets. Integrated models into application workflows through REST APIs, coordinating with software engineers and QA teams to validate predictions and resolve 20+ defects before production release. Participated in Agile sprints, code reviews, and client sessions, documenting assumptions and translating functional requirements into ML workflows.