Riya Punjabi

CTO

Sunnyvale, California, United States8 yrs 2 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in Large Language Models and AI transformation.
Strong background in Data Analysis and Business Analysis.
Proven track record in integrating complex data systems.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on Infrastructure and Software Engineering.

Contact

Skills

Core Skills

Large Language Models (llm)Artificial IntelligenceData AnalysisBusiness AnalysisSoftware Design

Other Skills

LangGraphn8nRetrieval-Augmented Generation (RAG)Prompt EngineeringData vizAnalytical SkillsData StructuresComputer ScienceElasticSearchMySQLPythonKibanaJSONCHTML

About

University of Southern California, Los Angeles, CA | June 2016 - Dec 2017 | Viterbi School of Engineering | Master of Science, Computer Science | Cumulative GPA 3.13/4.00 | Vivekanand Education Society of Technology, Mumbai, India | July 2012 - August 2016 | University of Mumbai | Bachelor of Engineering, Computer Science | Cumulative GPA 3.92/4.00 | Among the top 10% in college with the high grade point as specified above | Core Knowledge in : Data Structures, Algorithms, Artificial Intelligence, Object-Oriented languages Please connect through email : rpunjabi@usc.edu

Experience

8 yrs 2 mos

Total Experience

8 yrs 2 mos

Average Tenure

8 yrs 2 mos

Current Experience

Synopsys inc

6 roles

Agentic AI Manager

Promoted

Jul 2025 – Present · 11 mos

Large Language Models (LLM)LangGraphn8nRetrieval-Augmented Generation (RAG)Prompt EngineeringArtificial Intelligence

Data Science Lead, Sr II

Jan 2024 – Present · 2 yrs 5 mos

Data AnalysisBusiness AnalysisData vizAnalytical SkillsData StructuresComputer Science

Software Engineer, Sr I

Jan 2022 – Dec 2023 · 1 yr 11 mos

Software Engineer, II

Jan 2020 – Dec 2021 · 1 yr 11 mos

Software Engineer

Jan 2018 – Dec 2019 · 1 yr 11 mos

Technical Intern

Jun 2017 – Aug 2017 · 2 mos · Mountain View, California

> Worked towards Integration of Elastic Search with MySQL for Real-time Data Analysis and Visualisation (Kibana).
> Implemented automated Data Center Inventory Capacity using Python and Trend Analysis leveraging ElasticSearch.
> Developed a custom key-value store for flexible tagging of machines within DC Inventory using JSON in MS SQL and contributed
in Data Center Service Discovery Integration to Elastic Stack querying about the services running on any given asset in the DC.
> Deployed a fully functional User Interface for Data Center Inventory Reporting.