Divi Kumar Gunupudi on Tal
Headline
Associate Analyst at GlobalLogic | Deployed at Google Operations Center, Hyderabad | AI/ML | LLM Training & Generative AI Evaluation | Google Gemini Contributor | RLHF | Prompt Engineering | AI Safety | Aspiring SDE.
About
I'm an AI/ML Associate Analyst with 1+ year of hands-on experience training and evaluating large language models — including direct contributions to Google Gemini, one of the world's most advanced AI systems. My work sits at the intersection of LLM fine-tuning, Generative AI evaluation, AI safety, and multimodal data annotation — spanning text, image, video, and audio. I work daily with Claude, ChatGPT, and Gemini — not just as tools, but as force multipliers — knowing when and how to use each one to deliver faster, higher-accuracy results. What I bring to the table: 🏆 Star Performer Award — GlobalLogic (Google AI projects) 🤖 Trained & optimized Google Gemini across multimodal tasks. 🎬 Evaluated Google Veo video models for quality, safety & consistency 🎙️ Improved ASR accuracy for Starbucks & McDonald's voice ordering 🛡️ Conducted AI safety & bias audits — flagging hallucinations and ethical risks in live Gemini datasets 📊 Maintained 98%+ annotation quality on large-scale YouTube datasets I'm equally effective in technical and non-technical environments — combining analytical thinking, AI safety awareness, and strong cross-functional collaboration. Currently open to AI/ML, Generative AI, LLM Training, and Data Annotation roles — in India or globally (remote-friendly). 📧 divikumargunupudi333@gmail.com And With a strong foundation in front-end development and a deep interest in scalable, impactful technologies, I am actively preparing for a transition into a Software Development Engineer (SDE) role. I bring adaptability, problem-solving skills, and a passion for continuous learning to every challenge I take on.
Work experience
Associate Analyst at GlobalLogic, Nov 2024 - Present · 1 yr 8 mos, Hyderabad
Content Engineer at GlobalLogic, Nov 2024 - Feb 2025 · 4 mos, Executed expressive caption annotations for large-scale YouTube datasets with a focus on linguistic accuracy, contextual relevance, and metadata quality. Annotated complex, high-volume datasets used to train YouTube's recommendation and accessibility algorithms, contributing to improved content discoverability. Awarded Star Performer recognition for maintaining exceptional annotation quality standards and consistently meeting strict project deadlines.
Frontend Developer at AIMaster.live, Feb 2023 - Apr 2023 · 3 mos, Hyderabad, Telangana, India
Education
Master's degree, Organic Chemistry, Sir CRR College (PG Courses)
Bachelor’s Degree, Chemistry, SIR C R REDDY AUTONOMOUS COLLEGE
