Machine Learning Engineer
ASICS Technologies Pvt Ltd · Sep 2023 – Present
- Developed machine learning models using XGBoost, Random Forest, Isolation Forest, and Autoencoders for fraud detection and anomaly detection.
- Built scalable end-to-end ML pipelines for data ingestion, preprocessing, model training, evaluation, deployment, and monitoring.
- Processed over 150 million healthcare claim records using PySpark and Databricks.
- Implemented advanced feature engineering and anomaly scoring techniques to identify suspicious claims.
- Developed real-time fraud scoring APIs using Flask and FastAPI.
- Deployed machine learning models using Azure Machine Learning and Vertex AI.
- Implemented MLOps workflows using MLflow, Docker, Kubernetes, Terraform, and GitHub Actions.
- Built automated CI/CD pipelines for machine learning deployment.
- Designed Power BI dashboards for fraud analytics and business reporting.
- Implemented model monitoring, drift detection, logging, and alerting mechanisms.
- Improved fraud detection accuracy by 27%.
- Reduced false positive alerts by 22%.
- Designed and developed Generative AI applications using Python, FastAPI, and Large Language Models (LLMs).
- Built Retrieval-Augmented Generation (RAG) pipelines using LangChain/LangGraph with vector databases for enterprise knowledge retrieval.
- Integrated LLM APIs such as OpenAI, Azure OpenAI, and Anthropic Claude into AI applications.
- Developed AI agents with tool calling, memory management, and multi-step reasoning using LangGraph and AutoGen.
- Created document Q&A chatbots by processing PDFs, Word, Excel, and web content using embedding models.
- Implemented prompt engineering techniques to improve response accuracy, consistency, and reduce hallucinations.
- Used vector databases such as Pinecone, FAISS, ChromaDB, or Azure AI Search for semantic search and retrieval.
- Built REST APIs using FastAPI to expose AI services for frontend and third-party integrations.
- Implemented conversation memory, session management, and chat history for personalized AI assistants.