Bilal Surti
AI/ML Engineer with hands-on experience in Retrieval-Augmented Generation (RAG), FastAPI-based ML deployment, Generative AI applications, and production-ready backend development
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About
AI/ML Engineer with hands-on experience in Retrieval-Augmented Generation (RAG), FastAPI-based ML deployment, Generative AI applications, and production-ready backend development. Skilled in Python, LangChain, TensorFlow, Scikit-learn, Groq, Qdrant Cloud, and Docker. Experienced in building intelligent query systems, LLM-powered applications, healthcare document intelligence solutions, and machine learning forecasting models.
Experience
AI/ML Engineer - CrossTab Technologies LLP - India
(2025-08)
- Built production RAG pipelines using LangChain and ChromaDB to enable natural language querying of large medical JSON datasets with context-aware responses
- Designed hybrid retrieval architecture combining semantic search with LLM-based summarization to ensure factually grounded answers from healthcare documents
- Developed and deployed backend services using FastAPI with comprehensive Swagger documentation for serving ML and GenAI pipelines
- Integrated multiple LLM providers (Azure OpenAI, Google Gemini, Perplexity) for intelligent response generation and grounded summarization with fallback mechanisms for high-availability AI services
- Implemented prompt engineering techniques and response constraints to prevent hallucinations and enforce dataset-only answers
- Debugged complex issues including JSON parsing errors, API authentication failures, Docker containerization problems, and vector database indexing optimization
- Collaborated with cross-functional teams on code reviews and knowledge sharing sessions on RAG best practices
Data Science Intern - Bharat Intern - Remote
(2023-10 - 2023-11)
- Developed end-to-end ML projects: stock market prediction using LSTM, Titanic survival classification (81% accuracy), and handwritten digit recognition (96% accuracy with CNN)
- Performed comprehensive data preprocessing, exploratory data analysis, feature engineering, model training, and evaluation using Pandas, NumPy, Scikit-learn, and TensorFlow
- Created data visualizations with Matplotlib and Seaborn to communicate insights and model performance metrics
Python Programming Intern - CodSoft - Remote
(2023-10 - 2023-11)
- Developed Python applications including To-Do List manager, Calculator, and Password Generator with GUI interfaces
- Applied object-oriented programming principles, error handling, and input validation for robust application design
- Strengthened core Python programming skills and GUI development fundamentals
Education
Bachelor of Engineering - Computer Engineering - Maulana Mukhtar Ahmad Nadvi Technical Campus (2021-09 - 2025-07)
Higher Secondary Certificate (HSC) - Mathematics - Scholar Academy of Fine Education (2019-06 - 2021-05)
