# Suyash Sutar

> Senior AI Engineer | Applied AI (GenAI/LLMs, NLP) | ML, Data Science, Analytics | MS CS (4.0) | Zscaler | Ex-Teradata

Location: Salt Lake City Metropolitan Area, United States
Profile: https://flows.cv/suyashsutar

I design and deliver data and AI solutions end to end, from ingestion and modeling to evaluation and production deployment. I began my career at Teradata, progressing from intern to Data Engineer, where I built and optimized data pipelines, analytics, and reporting that supported enterprise decision making.

I completed an MS in Computer Science at Arizona State University in May 2025 with a 4.0 GPA. My academic and project work focused on data science, machine learning, and generative AI. Recent projects include building LLM-powered systems for healthcare and wellness using LangChain, OpenAI, and FastAPI, with attention to retrieval, reliability, and low-latency serving in the cloud.

I enjoy translating ambiguous problems into measurable outcomes, collaborating across product, data, and engineering, and shipping solutions that are observable, cost-aware, and maintainable. I am open to roles across Data Science, Machine Learning, and AI Engineering where thoughtful experimentation and clear communication create business impact.

## Work Experience
### Senior AI Engineer @ Zscaler
Jan 2026 – Present | San Jose, CA

### Machine Learning Intern @ Escape™ App AI
Jan 2025 – Jan 2026 | Seattle, Washington, United States
At Escape™ App AI, I focused on applied NLP and Generative AI in the healthcare sector. My work involved building a FastAPI application for self-care Q&A, integrating advanced LLMs, and deploying services to cloud environments. I also trained MusicGen for domain adaptation in generative audio, enhancing the application's capabilities and user experience.

### Research Aide @ Arizona State University
Jan 2024 – Jan 2025 | Tempe, Arizona, United States
Worked on applied NLP and LLM research in the healthcare domain, focusing on patient discourse analysis and medical text processing. Built a RAG system using GPT-4o and ChromaDB for contextual Q&A, developed multi-agent pipelines with LangChain to boost medical NER accuracy, and fine-tuned domain-specific models like BioBERT and LLaMA. Leveraged OpenAI embeddings for clustering and deduplication, contributing to high-precision, scalable solutions in medical NLP.

### Associate Data Engineer @ Teradata
Jan 2022 – Jan 2023 | Pune, Maharashtra, India
Worked on enterprise ETL and data warehousing across IBM z/OS and Teradata Vantage. Architected COBOL programs orchestrated with JCL, developed DataStage jobs, and wrote Advanced SQL for large-scale data operations and aggregation. Added PySpark backfills on Hadoop with parity checks to Teradata outputs, introduced data quality automation and transaction-level validations for critical pipelines, and supported performance tuning, documentation, and version control within team workflows.

### Jr. Technical Associate @ Teradata
Jan 2021 – Jan 2021 | Pune, Maharashtra, India
Performed ETL tasks using Teradata SQL and conducted data analysis to create robust data pipelines. Conducted root cause analysis. Worked on Python automation to check the data flow in the HDFS to the Teradata Data warehouses.

### Intern @ Teradata
Jan 2020 – Jan 2021 | Pune, Maharashtra, India
Spearheaded the architecture of an Enterprise Data Warehouse for a telecommunications firm, optimizing storage and management of customer data plan purchases using Teradata and Informatica for dynamic ETL processes. Utilized Tableau to create compelling data visualizations.


## Education
### Master's degree in Computer Science
Arizona State University

### Bachelor of Engineering - BE in Computer Engineering
Savitribai Phule Pune University

### Science
Earthinators Climate School

### SSC
Mahaveer English School


## Contact & Social
- LinkedIn: https://linkedin.com/in/suyash-sutar-574b9518a

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Source: https://flows.cv/suyashsutar
JSON Resume: https://flows.cv/suyashsutar/resume.json
Last updated: 2026-04-18