Data Science Manager with 810 years of experience in data analytics, machine learning, and AI-driven solutions. Expert in Python and experienced in designing, developing, and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and LangChain / LangGraph ecosystems. Adept at transforming complex business challenges into actionable, data-backed insights and intelligent automation systems. Passionate about leveraging AI to deliver scalable, high-impact solutions across diverse domains.
Core Competencies:
- Programming & Tools: Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow
- GenAI & LLM Frameworks: LangChain, LangGraph, RAG pipelines, OpenAI API, Hugging Face, Vector Databases (FAISS, Chroma, Pinecone)
- Machine Learning & Data Science: Predictive Modeling, NLP, Deep Learning, Feature Engineering, Model Deployment
- Data Engineering: ETL Pipelines, Data Wrangling, Cloud Platforms (AWS / Azure / GCP)
- MLOps & Deployment: Docker, FastAPI, Streamlit, MLflow
- Soft Skills: Cross-functional collaboration, business problem-solving, stakeholder communication
Career Highlights:
- Designed and deployed RAG-based LLM applications for knowledge management and enterprise automation.
- Implemented end-to-end machine learning pipelines improving model efficiency and interpretability.
- Spearheaded data-driven initiatives integrating GenAI into existing business processes for decision support and customer engagement.
