Strategic and technically adept Lead Data Scientist | Machine Learning Engineer | Software Engineer | AI/ML Architect with over 10 years of experience designing, developing, and deploying end-to-end data-driven systems across finance, healthcare, e-commerce, and enterprise domains. Proven track record in architecting scalable AI/ML pipelines, integrating cloud-native services (AWS, GCP, Azure), and delivering business impact through predictive modeling, LLMs, NLP, and MLOps practices. Expert in Python (Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django), SQL, and R, with deep experience in designing RESTful APIs, implementing A/B testing frameworks, and deploying containerized applications using Docker and Kubernetes. Skilled in building and scaling data architectures using Apache Spark, Hadoop, Kafka, ElasticSearch, and orchestrating ML workflows via Airflow, MLflow, and CI/CD pipelines. Demonstrated ability to lead cross-functional teams, align technical architecture with business goals, and mentor teams through Agile methodologies. Strong focus on building reusable components, modular data pipelines, and scalable ML solutions using TensorFlow, PyTorch, Keras, and LLM frameworks like LangChain and RAG. Hands-on experience with data visualization using Power BI, Tableau, R Shiny, and advanced experimentation techniques. Adept at managing the full ML lifecycle — from data ingestion and model training to monitoring and continuous deployment in production — while ensuring data governance, compliance, and security.
