Mahima Mannava

About Mahima Mannava

I build reliable AI-powered software that ships. I love turning vague ideas into fast, testable systems where correctness, latency, and UX all matter at once, and I’m happiest when measurable outcomes prove the work.I’m a CS master’s student at San José State University (’26). At Scale AI, I engineered prompt systems validated by internal test suites, wrote unit/integration tests that materially improved coverage and stability, designed targeted Cursor workflows to speed code discovery, and built rubric-driven evaluations to standardize LLM reviews across projects. Earlier at Synopsys, I standardized containerized CI/CD on GitHub Actions, ported Python and core libraries to PowerPC via Docker-based cross-compilation, and resolved 200+ static-analysis findings to keep releases clean and reproducible.Projects: TrueAI - near-zero-hallucination RAG with claim verification (88.4% verifier accuracy,~18k queries); StudyBuddy - an attention-adaptive learning app that automatically switches study modes based on live attention signals.Core strengths: full-stack execution (front end + APIs), distributed systems and DevOps (CI/CD, containers, Kubernetes), data (PostgreSQL/SQL), and practical LLM ops (prompting, evals, guardrails). I bring a bias for clarity, testability, and shipping—and I’m open to internship, co-op, and full-time roles on teams where rigorous engineering meets real user impact.

Experience

1. Founding Software Engineer Intern

   Stackbirds

   Mar 2026 — Present · San Francisco, CA, US

Education

• San José State University

  Master of Science - MS, Computer Science

• Amrita Vishwa Vidyapeetham

  Bachelor of Technology - BTech, Computer Science