⚙️ Machine Learning Engineer | 💻 Software Developer | 4+ Years Experience
Machine Learning Engineer with 4+ years of experience delivering production-ready AI/ML and data engineering solutions in healthcare 🏥 and semiconductors 🔬. Skilled in building cloud-native pipelines ☁️, deploying LLM-powered applications 🤖, and optimizing large-scale data workflows ⚡ for speed, scalability, and accuracy.
🏥 Simplify Healthcare – Built LLM-driven FastAPI services for autonomous extraction & summarization of healthcare PDFs/web data. Designed Gower distance + Agglomerative Clustering systems to group health plans, and BERT–FAISS APIs to semantically align census data. Engineered a hybrid FAISS–fuzzy match–ML algorithm for precise column mapping in complex tabular datasets.
💼 Optum India – Architected a model orchestration framework (Airflow, Spark, Azure Databricks), cutting profiling time from 1–2 weeks → ⏱️ under 15 mins. Enhanced disease event prediction by +2.5–3% 📈 via advanced feature engineering and deployed CatBoost-based ER usage predictors, saving 💰 $2M per quarter. Optimized severity models, boosting maintainability and runtime speed by ⚡ 45%.
🔬 Kinara, Inc. – Developed performance monitoring, memory benchmarking, and API tracing tools for the ARA-1 semiconductor chip.
🎓 Education: B.Tech in Electronics & Communication Engineering – NIT Agartala.
- 🧑💻 C, CPP, PYTHON, FASTAPI
- 🗃️ SQL, PYSPARK, PANDAS, MongoDB
- ☁️ AZURE DATABRICKS
- 🤖 MACHINE LEARNING / DEEP LEARNING / LLM
- 🌍 HTML, CSS, HTTP METHODS(REST API)
🏢 I am currently working on Big Data & Data Science
