M.S. in Computer Science
University of California, Irvine

Software Engineer
I build practical software systems with a strong mix of engineering depth and product focus.
Hi, I’m Anish. I’m currently pursuing my Master of Computer Science at UC Irvine, and I’m genuinely excited about building software that is useful, reliable, and thoughtfully engineered.
I completed my Bachelor of Science in Computer Science at UC Santa Cruz, where I built a strong foundation in algorithms, systems, and machine learning while gaining hands-on experience through research and instructional roles.
Over the past few years, I’ve worked on backend APIs, data pipelines, and AI-driven applications, including educational platforms and real-time voice systems.
What motivates me most is software engineering and AI: designing clean systems, solving meaningful problems, and building technology that creates real impact for users and teams.
Irvine, California
Open to software engineering and AI/ML roles
Degree, tenure, and relevant coursework.
University of California, Irvine
University of California, Santa Cruz
Real-world roles where I improved systems, shipped tooling, and made teams move faster.
UCSC BASKIN SCHOOL OF ENGINEERING
Mentored 200+ students across Data Structures, AI, and Computer Architecture with a strong focus on debugging and problem-solving.
Maintained assignment pipelines and grading infrastructure for large course enrollments.
Built Linux/Bash-based auto-grading workflows, including hidden tests and timeout checks, and helped reduce grading turnaround by about 30%.
Standardized scoring logic to keep evaluations consistent across submissions and sections.
TECH4GOOD LAB, UCSC
Implemented TypeScript/Node.js APIs for onboarding tools and assignment workflows.
Designed endpoint and payload contracts to make internal feature integration smoother across the team.
Built ETL pipelines backed by PostgreSQL staging tables for data validation and cleanup.
Added schema enforcement and pre-insert checks that reduced recurring dashboard data issues.
3D FACES LAB, UCSC
Built a browser-based annotation interface and structured input flow for facial attribute labeling.
Added validation constraints and a cleaner processing workflow to reduce human labeling variance in a 2,000+ image dataset.
Helped improve a ResNet152 pipeline and contributed to a measured 46% model performance gain.
Supported research write-up and publication for face-creation methodology.
Focused builds where technical depth meets practical UX and measurable outcomes.
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AI/ML Engineering
Open-source app for building and sharing collaborative data science and AI workflows.

AI Mental Health
AI-powered mental health support chatbot built for CruzHacks 2022.
Voice + AI Systems
Voice-controlled automation system for natural language actions in Minecraft.

Computer Vision + Classification
Pose-based exercise classification and rep counting system for live webcam and video input.

AI + Education
AI assistant for exploring professor feedback and getting quick course insights.
If you are hiring or collaborating, send a note and I will reply.