Iman Kahssay

Hi, I'm Iman Kahssay

A Software Engineer focused on building reliable, thoughtful, human-centered systems

Master's in Computer Science, UC Davis

Bachelor's in Electrical Engineering & Computer Science, UC Berkeley
(Banatao Family & Estha M. Rodkey Scholar)

Portfolio preview

Introduction

About

I’m a Software Engineer currently pursuing an M.S. in Computer Science at UC Davis, with a foundation in Electrical Engineering and Computer Science from UC Berkeley. My experience centers on data structures, algorithms, system-level problem solving, applied AI, and computer graphics, with an emphasis on building well-structured, reliable software.

I primarily work with Python, C++, and Java, and I also have experience building user-facing components with HTML, XML, and JavaScript. While my focus is software engineering, I value clarity, correctness, and user awareness as part of designing systems that behave predictably and scale thoughtfully.

I enjoy debugging complex logic, reasoning through tradeoffs, and refining implementations through testing, iteration, and collaboration. I’m motivated by building software that is technically sound, purposeful, and capable of making a real-world impact.

Skills

Languages

Python C/C++ Java Kotlin Go SQL HTML XML JavaScript Processing Scheme

Tools & Technologies

Git React Node.js MongoDB NumPy PyTorch/Torchvision Postman Android Studio Figma

What I have done so far

Work Experience

Sep 2024 - Present

Researcher · Interactive Organisms Lab (UC Davis)

Microfluidic biosensing + Android companion app integration.

  • Designed a microfluidic device (Fusion 360, FormLabs) with colorimetric biosensors to detect biomarkers in bodily fluids
  • Developed a companion Android app (Kotlin + XML) and integrated sensor data pipelines for real-time biomarker detection (80% accuracy)
  • Created and led women-centered case studies (21 participants); incorporated feedback that informed app feature refinements & improved device usability by 20%
  • Co-authored and presented findings in a research report
Sep 2024 – Present

Teaching Assistant · UC Davis

Debugging support, course operations, and lab logistics.

  • Supported 150+ students across 4+ courses and 45+ office hours; resolved 95% of technical/programming issues
  • Managed attendance, exams, and grading for 1000+ assignments and quizzes
  • Assisted with Processing, Python, Arduino/Circuit Playground, and fabrication lab setups
Jan 2022 – Sep 2024

Technical Account Analyst · Zain Psychological & Behavioral Health Services

Backend APIs + testing for internal workflows.

  • Built RESTful APIs using Flask + MongoDB for accounting workflows and UI integration
  • Executed end-to-end testing in Postman, improving user flow by 23% and page speed by 19%

My work

Projects

FitBot screenshot 1 FitBot screenshot 2 FitBot screenshot 3

FitBot

A personalized fitness analytics web app that computes and visualizes calories burned and goal progress

  • Engineered a scalable MERN architecture for real-time updates, backend computation, and interactive visualizations
  • Implemented multi-feature calorie-burn algorithms using 6+ variables across 10K+ activity records, increasing personalization and accuracy of health insights by 35%
  • Leveraged research to improve clarity by 45% and user engagement by 52%
#mongodb #express #react #node.js #python
BugSwarm screenshot 1 BugSwarm screenshot 2 BugSwarm screenshot 3

BugSwarm

Python pipeline that turns CI failure artifacts into structured, human-readable bug reports

  • Embedded BugSwarm + Travis CI via REST APIs to ingest and process CI failure artifacts; added log sanitization and diff summarization
  • Integrated an LLM (Google Gemini) to generate bug reports that contains root-cause analyses and fix suggestions; generated 100/100 reports with 0 runtime errors
  • Reduced manual bug documentation effort by ~70%
#python #ci #rest-api #llm
Cloth simulation screenshot 1 Cloth simulation screenshot 2 Cloth simulation screenshot 3

Cloth Simulation with Realistic Rendering

Interactive cloth simulation with physics constraints and shader-based rendering.

  • Implemented point-mass + spring system with collision handling to accurately model cloth movement; reduced cloth clipping by 90%
  • Wrote GLSL shaders to improve visual & texture quality by 85%
  • Developed two new shaders through research on new/improved shading models for textile materials; optimized cloth's visual quality by 80%
#cpp #opengl #glsl #graphics
Grammys app screenshot 1 Grammys app screenshot 2 Grammys app screenshot 3

Grammys Winner Prediction

Android app for selecting, sharing, and discussing Grammy winner predictions.

  • Led a 4-person team to build an Android app; implemented core app logic and UI components
  • Identified and resolved performance and workflow issues through unit testing and manual validation, improving user flow by 51% and page speed by 43%
  • Conducted user interviews and usability testing, incorporating feedback to refine features and improve overall usability
#java #xml #figma #android-studio

Get in touch

Contact

The best way to reach me is via email

Email LinkedIn

Recruiter notes

Currently based in Davis, California (UC Davis), graduating in June 2026.

Open to new-grad Software Engineering or UX/UI Engineering roles nationwide, with a preference for California or Seattle, WA.