# Sree Kiran Prasad Vadaga

> AI Infra - Zoox | PayPal | Nvidia | TAMU’23 | NITT’18

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/sreekiranprasadvadaga

Currently working on ZI(Zoox intelligence) at Zoox. At PayPal, our team is driving innovation by developing AI solutions that revolutionize the employee experience, where my role as an AI/ML Engineer involves fine-tuning Large Language Models and deploying advanced information retrieval systems. With a Master’s degree from Texas A&M University in Data Science, my foundations are into software, accelerated computing and LLMs and building Agents and Evals.

Deep focus on NLP and deep learning techniques. Worked on CNN and LSTM-based models at Texas A&M University underscored our commitment to advancing research with practical impact.

## Work Experience
### Software Engineer - AI @ Zoox
Jan 2025 – Present | Foster City, CA
Zoox Intelligence(Agents, MCPs, Evals, Guardrails, Connectors(RAG), Fine Tuning, Agentic SDKs and more)

### AI/ML Engineer @ PayPal
Jan 2023 – Jan 2025 | Scottsdale, Arizona, United States
AI to enhance employee experience, focusing on LLM fine-tuning, information retrieval, and constructing RAG frameworks.

### Research Assistant @ Texas A&M University
Jan 2021 – Jan 2023 | College Station, Texas, United States
• Built deep learning models (CNN, LSTM, Seq2Seq, BERT) for protein toxicity prediction and NLP research.
• Developed the RDASH platform using NLP and RAG to map 60K+ funding calls to 5K+ scholars, improving alignment and efficiency.
• Designed recommendation and compliance models for tailored funding insights and automated discovery.

### NLP Engineer @ NVIDIA
Jan 2022 – Jan 2022 | Santa Clara, California, United States
• Accelerated data processing pipelines using NVIDIA RAPIDS, achieving up to 14× faster performance on GPU.
• Optimized CUDA based metrics and imputation algorithms for large-scale NLP tasks.
• Built and benchmarked XGBoost models on GPU, validating performance gains across workloads.

### Senior Data Scientist @ Affine
Jan 2019 – Jan 2021 | Bangalore
• Built hybrid recommendation and propensity engines to improve retention and sales outcomes in e-commerce
• Designed clustering models to identify high valued credit card holders, defaults, created fraud alerting mechanisms across cards, payments, accounts.

### Data Scientist @ Affine
Jan 2018 – Jan 2019 | Bengaluru Area, India
• Applied ML & RNNs for boosting subsurface log prediction and petro-chemical detections.


## Education
### Master's degree in Data Science (Computer Science Majors)
Texas A&M University

### Bachelor of Technology - BTech in Industrial Engineering
National Institute of Technology, Tiruchirappalli


## Contact & Social
- LinkedIn: https://linkedin.com/in/sreekiranprasad

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Source: https://flows.cv/sreekiranprasadvadaga
JSON Resume: https://flows.cv/sreekiranprasadvadaga/resume.json
Last updated: 2026-04-11