Isha Jagadish

Isha Jagadish

Undergraduate Teaching Assistant @ Paul G. Allen School of Computer Science & Engineering

About

Hi, I'm Isha! I am currently a junior at the University of Washington studying Computer Science and Business/Entrepreneurship, with a strong foundation in programming and full-stack development. I’m passionate about solving complex problems and building efficient, scalable software solutions. I am dedicated to learning and growing in the tech industry and am excited to connect with professionals and explore opportunities to contribute to impactful projects.

Country

United States

City

Saratoga

Industry

Computer Software

Skill

Business, React.js, Node.js, Cross-functional Collaborations, Performance Testing, NetSuite, Computer Science, TypeScript, NestJS, PostgreSQL, API Development, C (Programming Language), Amazon Web Services (AWS), Apache, Web Development, Front-End Development, Databases, Machine Learning, Leadership, Research

Experience

Paul G. Allen School of Computer Science & Engineering

Undergraduate Teaching Assistant

Paul G. Allen School of Computer Science & Engineering

LinkedIn
2025-9 - Present · 1 yr 1 mo

Computer Security (CSE 484) TA

Paul G. Allen School of Computer Science & Engineering

Undergraduate Student Researcher

Paul G. Allen School of Computer Science & Engineering

LinkedIn
2025-9 - Present · 1 yr 1 mo

Working on Project Sidewalk in the Makeability Lab

UW Junoon

Choreography Captain

UW Junoon

LinkedIn
2024-9 - Present · 2 yrs 1 mo

Led a team of 20+ dancers, organizing practices, choreographing and teaching dances, and overseeing competition logistics.

Amazon Web Services (AWS)

Software Development Engineer Intern

Amazon Web Services (AWS)

LinkedIn
2025-6 - 2025-9 · 4 mos

Seattle, Washington, United States

Interned on the DataFI team, part of the AWS Finance Technology organization. Designed SmartTrace, an AI agent system to automate data explainability for Finance/Accounting users, saving data engineers hours of manual labor. - Designed and implemented an MCP server with custom tools, exposing APIs with secure SigV4 authentication. - Developed a Strands AI agent deployed on AgentCore Runtime. - Built an event-driven pipeline (EventBridge → SQS → Lambda → Agent → MCP server), enabling automated ticket consumption from Amazon's internal ticketing platform. - Enhanced reliability with structured logging, error handling, and observability across components. - Learned to adapt to ambiguity, write design docs, and deliver working features in a rapidly evolving technical environment.

Y Combinator

Y Combinator AI Startup School Attendee

Y Combinator

LinkedIn
2025-6 - 2025-6 · 1 mo

San Francisco, California, United States

- Attended the first AI Startup School hosted by Y Combinator, selected as one of the top 2000 candidates among all CS undergrads, grads, and PhD students. - Heard from the world's leaders in AI, including Elon Musk, Satya Nadella, Fei-Fei Li, and Sam Altman, to gain insights into AI innovations. - Networked with peers to develop startup ideas, enhancing my entrepreneurial skills and understanding of AI applications.

Inhabitr

Software Engineer Intern

Inhabitr

LinkedIn
2024-6 - 2024-8 · 3 mos

Milpitas, California, United States

- Developed Rest APIs using Nest.JS towards a SaaS platform for furniture design and fulfillment for apartment homes - Implemented UI features using ReactJS deployed in live production site - Utilized Git and Bitbucket for Version Control, Swagger for API documentation and testing - Leveraged PostgreSQL to perform database queries and manipulation - Used frameworks like Apache Bench and JMeter to perform load testing and simulate high numbers of concurrent requests - Performed dev led product testing by reviewing projects and identifying, raising, and resolving bugs and issues (utilized JIRA for issue tracking)

cseed

Buildspace Fellow, Cohort 0

cseed

LinkedIn
2024-1 - 2024-6 · 6 mos
UCLA

Intern at UCLA Glanzman Lab

UCLA

LinkedIn
2022-1 - 2023-5 · 1 yr 5 mos

Leveraged machine learning tools like OpenFold & AlphaFold to design and validate RNA protein structures.

Kodiak Sciences

Software Engineer Intern

Kodiak Sciences

LinkedIn
2022-8 - 2023-2 · 7 mos

- Designed an algorithm to cluster 6 million protein sequences based on amino acid structure & function similarity, towards developing novel therapies for retinal diseases. - Decreased number of sequences by 50%.

Education

University of Washington

University of Washington

LinkedIn

Computer Science

2023-9 - Present · 3 yrs 1 mo

Kyril Faenov Endowed Scholarship in Computer Science & Engineering, Purple and Gold Scholarship Recipient, Dean's List

Saratoga High School

Saratoga High School

LinkedIn
2019 - 2023 · 4 yrs
The Johns Hopkins University

The Johns Hopkins University

LinkedIn

Center for Talented Youth

2019-1 - Present · 7 yrs 9 mos

Isha Jagadish's Contact Information

Email

******@***.com

Phone

(**) *** ****

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