Agentic AI Lead

- Extensive hands-on experience with frameworks and libraries - Proficient in scikit-learn and SciPy for ML algorithms - Hands-on experience within Python with PyTorch and in developing enterprise Python applications - Skilled in natural language processing tasks (entity recognition, tokenization) - Strong knowledge of API/Microservices, async programming, multithreading, performance, reliability, caching, event-driven design, data pipelines, workflows, and queues - Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in the cloud - Experience in building rapid applications using FastAPI and Streamlit, Matplotlib, and Seaborn for prototyping - Good understanding of software engineering, architecture, testing, code quality principles, and test-driven development (TDD) - Proficient in context-aware prompts to drive optimal performance from LLMs for summarization, reasoning, extraction, and classification tasks - Hands-on experience in designing intelligent retrieval pipelines that combine vector databases like FAISS with semantic search mechanisms - Developed intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/LangGraph - Experience in clustering techniques and classification models