Sudish Kumar — AI Researcher

I am AI Benchmarking Specialist at Amazon for International Seller growth, a professional dedicated to evaluating, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs). This role bridges the gap between AI development, quality assurance, and ethical auditing to ensure models are accurate, reliable, robust, and unbiased. Previously with AWS as Machine Learning Data Associate II and a background in Electrical and Electronics Engineering from NIT Sikkim. I specialize in bridging the gap between raw data and production-ready AI, with a focus on Agentic AI and Data Automation. Python is at the core of my technical toolkit; I use it daily for data manipulation (NumPy, Pandas), building automation tools, and validating high-precision datasets. My work involves transforming complex requirements into efficient code to optimize the ML lifecycle. Key Achievements: * Technical Innovation: Independently developed "SageMaker Smart Stats" using Javascript, which increased team productivity by 15–20% and saved 45 minutes per associate daily. * High-Precision Data: Engineered datasets for Agentic AI across Finance, Health, and Legal domains, maintaining a 99%+ accuracy rate. * Performance Ranking: Ranked 5th among 87 associates at AWS for delivery quality and speed. * Leadership: Two-time "Prime Player" award winner (Feb & April 2025) for achieving the highest productivity and reliability metrics in AWS BDB. Technical Stack: * Languages & Tools: Python (Scikit-Learn, PyTorch, NumPy, Pandas), Advanced SQL, Tableau, and Excel. * Cloud & AI: AWS SageMaker, Bedrock, and Model Optimization. * Foundations: Probability, Statistics, and Embedded Systems. I am an AWS-certified AI Practitioner dedicated to solving operational bottlenecks through engineering rigor and data-driven insights.

Stackforce AI infers this person is a specialist in AI and Machine Learning within the SaaS industry.

Location: Bengaluru, Karnataka, India

Experience: 8 yrs