Tejas Goyal

Program Manager

Pittsburgh, Pennsylvania, United States1 yr 9 mos experience

Key Highlights

Expert in AI and systems with hands-on experience.
Developed LLM-powered tools for healthcare applications.
Strong foundation in data science and programming languages.

Stackforce AI infers this person is a skilled AI and systems professional with a focus on healthcare technology.

Contact

Skills

Core Skills

Python (programming Language)

Other Skills

C (Programming Language)ConfluentBlockchain ArchitecturePandasR (Programming Language)NumPyJavaScriptStatisticsWeb ScrapingHTML5Cascading Style Sheets (CSS)MATLABskip lists

About

Currently pursuing Master's in Information Systems Management at Carnegie Mellon University

Experience

1 yr 9 mos

Total Experience

1 yr

Average Tenure

8 mos

Current Experience

Carnegie mellon university school of computer science

2 roles

Graduate Research Assistant

Jan 2026 – Present · 4 mos · Pittsburgh, Pennsylvania, United States · On-site

Building meta-prompting optimization frameworks using LLM-as-optimizer techniques for self-improving prompts, targeting complex reasoning

Graduate Teaching Fellow - Data Science Seminar

Aug 2025 – Dec 2025 · 4 mos · Pittsburgh, Pennsylvania, United States · On-site

Facilitated graduate research capabilities by coaching students on literature review methodologies across deep learning, NLP, and unsupervised learning, resulting in improved exposure to diverse data science domains

Openhands

Open Source Contributor

Oct 2025 – Present · 7 mos · United States

Confluent

2 roles

Associate Program Manager

Jul 2024 – Aug 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

Led product strategy initiatives in AI and systems, coordinating across engineering and go-to-market teams to deliver scalable solutions.

Program Management Intern

Jan 2024 – Jul 2024 · 6 mos · Bengaluru, Karnataka, India · Remote

Technical Program Management for Business Technology and Data

Philips

AI Engineering Intern

Jun 2023 – Aug 2023 · 2 mos · Bengaluru, Karnataka, India

Leveraged OpenAI APIs, Llama 2, Pinecode DB, and Langchain to develop an LLM-powered customer support tool for the Philips Sleep and Respirator Care (SRC) product line. This implementation relied on industry-leading retrieval augmented generation methods.
Developed several automation scripts on Apache Airflow responsible for synchronization tasks that copy Salesforce data to the Philips Data Lake. Helped increase the adoption of Fivetran and Airflow within the enterprise significantly.