Seasoned AI professional with over 9 yrs experience in developing solutions for organizations involving AI, NLP, predictive/recommendation models. ~3 yrs experience in people management, I successfully built and led a high-performing Data Science and Analytics team from the ground up, focusing on hiring, training, and mentoring talent. Created strategic plans that align team growth with business objectives, enhancing our visibility and impact. Collaborated with Engineering, UI and stakeholder teams for successful project delivery. I have a passion for learning and innovation. • Gen AI experience: Developed and tested RAG architecture based LLM generation(Cohere, OpenAI, llama3, etc). Developed guardrails and evaluation metrics for LLMs, fine-tuned LLM models and experimented and documented prompt engineering best practices. Worked with langchain, llamindex, deepeval frameworks.• NLP Expertise: Developed custom Named Entity Recognition (NER) models for entity extraction and employed embedding models like Doc2Vec and BERT for tasks including recommendation engine pipeline, title normalization, text summarization, topic modeling, and sentiment analysis. Currently, I am leveraging LLMs and Gen AI to modernize legacy Python libraries in products.• Marketing solutions : Developed hierarchical Market mix model, Revenue forecasting model and strategies to assist targeted marketing, cross-selling, up-selling. Delivered insights using frequent pattern mining, regresssion, classification and clustering models. • Leadership: Developed strategic plans and drove adoption of latest data science solutions in multiple business units of the client organization through ideation, product proposals & ROI quantification. Presented proposals and deliverables to C-suite executives with applause received for concise and clear communication.Technology: • Prompt Engineering, LangChain, RAG, Evaluation with laamaIndex, Deepeval, and Guardrails• SpaCy, Scikit, NLTK, Gensim, SparkML, NLP using LDA , LSTM & Naive Bayes, Entity Recognition, BERT, Glove.• languages: R, Python(pandas, Numpy, Scikit Learn, NLTK, gensim,scipy), SAS, SPSS, NodeXL, javascript, html, SQL query language, PLSQL. • End to End product pipeline and Flask API development. Deployment of project on Amazon EC2 and Docker on kubernetes.• Visualization tools: Tableau, Excel, ggplot, Matplotlib • Big data tools: Hadoop, Map Reduce, Hive, Pig.• Management: Team Leadership and Development, Strategic Planning, Stakeholder Communication, Performance KPIs