Extensive hands-on experience of frameworks and libraries:
* Proficient in scikit-learn and SciPy for ML algorithms
* Hands-on experience within python with PyTorch and experience in developing enterprise python applications
* Skilled in natural language processing tasks (entity recognition, tokenization etc)
* Strong knowledge of API/Microservices, Async programming, multithreading, performance, reliability, caching, event driven design, data pipelines, workflows, queues
* Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud.
* Experience of Building rapid applications using FastAPI and Streamlit, Matplotlib, seaborn enabling prototyping.
* Good understanding of Software Engineering, Architecture, testing, code quality principles and test driven development (TDD)
Generative AI & LLMs
* 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.
* Should have Developed intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/Langgraph.
* Experience of Clustering techniques and classification models
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