Raleigh-Durham-Chapel Hill Area
Senior AI/ML Engineer with 7+ years of experience in Artificial Intelligence, Machine Learning, Generative AI, and NLP, along with 2+ years of Software Development experience. Proven expertise in designing and deploying scalable AI solutions using LLMs, RAG, Deep Learning, Computer Vision, and MLOps frameworks. Hands-on experience with PyTorch, TensorFlow, Scikit-Learn, FastAPI, Apache Spark, MLflow, Docker, Kubernetes, and cloud platforms including AWS and Azure to build production-grade AI systems that drive business value. Delivered enterprise AI and machine learning solutions across automotive, fintech, AI platform, and consulting domains with organizations including Volvo Trucks, Block, DataRobot, and Infosys. Passionate about building intelligent systems, optimizing ML lifecycles, and transforming complex data into actionable insights. Open to connecting with professionals and exploring opportunities in AI/ML, Generative AI, Applied AI, MLOps, and Data Science.
Driving Generative AI- knowledge systems leveraging Large Language Models (LLMs), GPT architectures, and Retrieval Augmented Generation (RAG) frameworks, supporting cross functional teams knowledge retrieval, reducing lookup time and improving productivity.
Predictive AI Ensemble modeling - XGBoost and regression analysis to support merchant and customer transactional patterns.
Worked on NLP pipelines leveraging SpaCy, Named Entity Recognition (NER) and time series models - ARIMA, SARIMA. Integrated AI models with enterprise systems using micro services architecture built on Flask, enabling seamless data exchange with CRM platforms.
Backend Python scripting to support Enterprise system migration to cloud application ecosystem. Worked on enhancements with query refining, structuring, cursor implementations, indexing. SQL,Pandas,numpy,scipy,cx-oracle