August 2024 - December 2024
Domain: AI/ML, AI Observability, Synthetic Data Generation, LLMs
Business: TCS Enterprise Cognitive Business Operations
Task: Provide Proof-of-Concept to generate synthetic data generation using LLMs, to train Machine Learning models.
My Role:
- Led a team of 4 engineers, delivered Synthetic Data Generation using LLMs, recommending Claude-3.5 with 86% ML utility accuracy
- Conducted evaluations of GPT-4, Llama-2, Claude-3.5, Gemini, leveraging metrics like KL Divergence to identify best performing model
- Evaluated fidelity, privacy and utility of generated synthetic data using metrics like membership inference score, Wasserstein Distance adhering to Responsible AI
- Validated prompt engineering techniques, with Chain-of-Thought improving statistical accuracy, reasoning, and diversity in SDG
- Led Scrum calls to bridge communication between data scientists and the client, aligning on deliverables and ensuring stakeholder buy-in for the recommended solution, Claude-3.5
- Documented entire ML Lifecycle, delivered a KT session, handed over the product documentation, ensuring seamless client adoption