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• Extensive leadership experience in AI/ML, progressing from Manager to Sr Director roles, demonstrating strong career growth and increasing responsibility.
• Deep expertise in Generative AI, LLMs (Claude, Llama, Chat GPT 4o), fine-tuning techniques (LORA, QLORA), and LLM evaluation (RAGAS, custom evaluation, LLMAJ).
• Proven track record of successfully leading POC to production deployments of GenAI RAG LLM use cases, impacting large user bases and achieving significant business outcomes (e.g., 90%+ accuracy for 23k+ users, reduced call deflection).
• Strong architectural skills in designing and deploying high-throughput LLM evaluation pipelines (60K+ queries/month) with programmatic label functions and custom metrics.
• Experience in developing and scaling multi-model Next Best Action (NBA) systems and classical AI solutions (Churn Prediction, Client Journey Optimization) using AWS SageMaker, Airflow, and CI/CD.
• Proficiency in a wide array of ML/DL frameworks and tools including Pytorch, Llamaindex, Langchain, AWS Bedrock, Databricks, Snorkel, DSPy, Pinecone, Azure OpenAI, Pyspark, Tensorflow, Keras.
• Demonstrated ability to collaborate with C-suite executives and cross-functional teams to identify and execute high-impact AI opportunities, driving sales growth and user engagement.
• Strong focus on establishing technical excellence, innovation, and continuous improvement within AI organizations, including mentoring and upskilling team members.
• Solid foundation in traditional machine learning, deep learning (RNN, LSTM, CNN), time series forecasting, and optimization algorithms.
• Multiple Master's degrees in Business Analytics & Management and Data Science, complemented by a Bachelor's in Computer Science & Engineering, providing a robust academic background.