Bargavi Sivaraman

Software engineer completing a BS in Computer Science (December 2026) who builds full-stack applications and AI systems end to end and ships them to real users.

Experience spans machine learning pipelines over noisy real-world data, multi-agent LLM systems with retrieval and source citation, REST APIs and typed backends, React and TypeScript frontends, and the data work that makes any of it trustworthy. Founded and operates a live product with real users. First place at the 30th Annual CSUNposium for research conducted through the CSUN ARCS program with NASA Jet Propulsion Laboratory.

Comfortable owning a problem from an open question through design, implementation, deployment and the explanation that lets someone else act on it.

ARCS Associate, Research Fellow Cohort at NASA Jet Propulsion Laboratory / CSUN ARCS Program (2025-09 – Present)

• Built machine learning pipelines over noisy multi-source sensor data, including RealSense depth and hyperspectral imagery, owning cleaning, feature work, evaluation design and the final recommendation.
• Benchmarked competing approaches on measured results rather than preference, reaching 96.4% accuracy and 0.954 AUC and moving detection to Day 2 of the observation window.
• Applied a pre-trained foundation model for zero-shot segmentation and validated it on real data before committing to it, documenting the limitations that remained.
• Instrumented each stage of a multi-stage pipeline so failures surfaced instead of propagating silently.
• Presented design and findings to faculty, program leadership and collaborators from other disciplines; won 1st place at the 30th Annual CSUNposium.

Founder and Engineer at Nexume.ai (2025 – Present)

• Designed, built and operate a full-stack React, FastAPI and MongoDB product that reached real users with no paid marketing, owning frontend, APIs, database, authentication, CI/CD and production support.
• Built a custom scoring and matching engine plus LLM-backed features, and integrated third-party model APIs into production.
• Defined and tracked activation and retention metrics and used what the data showed to decide what to build next.

Technical Operations Intern / Student Assistant / Scrum Master at Associated Students at CSUN (2023-10 – Present)

• Collect, clean and reconcile operational data pulled from separate state and university systems, tracing discrepancies to root cause rather than adjusting the number.
• Write and maintain SQL supporting recurring reporting, and rebuilt manual checks as repeatable automated processes.
• Introduced Jira to a team with no tracking system, defined intake, triage and escalation conventions, and trained non-technical staff on them.
• Run sprint planning and standups as Scrum Master, and translate requests from non-technical staff into working software.

Software Engineer Intern at Imaginetech Digital Pvt Ltd (2023-06 – 2023-08)

• Built Python REST APIs and frontend components inside an existing production system, then tested and debugged them through to release alongside a senior engineering team.

Bachelor of Science in Computer Science – California State University, Northridge (2022-08 – 2026-12)