V User

I’m a Dynamic AI/ML Engineer with 3+ years of experience designing and deploying scalable machine learning solutions in cloud environments for healthcare, finance, and analytics. I’m expert in Python, deep learning, and MLOps, focused on accelerating data processing and boosting model performance end to end—from pipelines to production inference.

At DataInception, I engineered Spark/EMR & Kafka ML pipelines processing 10M+ records daily, cutting latency by 40%, optimizing AWS ETL workflows to reduce processing time by 35% and compute costs by 30%, and supporting real-time inference at 1M+ daily transactions using MLflow + SageMaker. I maintained 99.9% pipeline uptime with proactive monitoring and delivered LSTM time-series forecasting for finance clients with a 28% reliability improvement; in healthcare at Definitive Healthcare, I built FastAPI services improving analytics response speed by 50%, implemented automated Docker + Jenkins CI/CD (build time -25%, releases +30%), and created patient outcome prediction models improving accuracy by 25% and adoption by 15% while supporting FHIR-compliant workflows. I also build production-ready systems like an MRI TumorDetector (92% accuracy; diagnosis time reduced by 50%) and a real-time LSTM stock forecasting microservice trusted by users.