Engineer with taste
Areeb EhsanFull-Stack Engineer
MCS @ UIUC ('28) focusing on RAG pipelines, agentic workflows, and production-style software.
About
Building practical, production-style systems.
I enjoy taking ideas from rough prototype to reliable, production-style software. Recently, I've been focused on retrieval-augmented generation (RAG), agentic workflows, and tools that make research and learning faster. My background in math and data science helps me reason about systems rigorously while still caring about craft and user experience.
Skills
Systems thinking across the stack.
I like blending strong fundamentals (data structures, systems, math) with modern tooling—whether that's building RAG pipelines, shipping full-stack apps, or tightening security.
Languages
Frameworks
Libraries
Tools
Featured Projects
Applied AI, full stack, and research tooling.
Pulled live from GitHub, then curated so the top projects reflect what I'm actually proud of—especially AI systems, RAG pipelines, and research tools.
Experience & Education
Path through CS, data, and math.
A blend of computer science, data science, and math competitions—plus programs like CodePath—shapes how I think about building and validating systems.
Education
M.C.S. Computer Science
University of Illinois Urbana-Champaign • Aug 2026 – May 2028
- • Siebel School of Computing and Data Science.
- • Focusing on advanced computing, systems, and intelligent data pipelines.
Education
B.S. Computer Science, Data Science Certificate
Georgia State University • Aug 2022 – May 2026
- • GPA: 3.96 | Summa Cum Laude | Distinction in Major
- • Data Science certificate with strong grounding in statistics and machine learning.
- • Coursework spanning algorithms, systems, AI/ML, and security.
Experience
Open Source Contributor, Applied AI Capstone (AI301)
CodePath × Anthropic • Jun 2026 – Present
- • Contributed merged PRs to production open-source repositories as part of CodePath's capstone tier developed with Anthropic.
- • Fixed live defect in graphql-hive/console (PR #8166): traced root cause across TypeScript modules, authored unit tests, and resolved CI feedback.
- • Added Claude support across traceroot-ai/traceroot observability platform, updating system configs, pricing metadata, and test suites.
Experience
AI Research & Publication (Solo-authored)
arXiv:2512.22184 • Dec 2025 – Dec 2025
- • Published 'AI-Enhanced Virtual Biopsies for Brain Tumor Diagnosis' evaluating multi-class classification in low-resource clinical settings.
- • Built late-fusion pipeline combining MobileNetV2 embeddings with GLCM radiomics features, boosting accuracy from 85.0% to 95.1%.
- • Designed robustness testing under resolution degradation and noise, analyzing interpretability via Grad-CAM and feature importance.
Experience
Emerging Engineer Empowerment Scholar
CodePath • Aug 2024 – Present
- • Selected for CodePath's Emerging Engineer Empowerment Scholar program.
- • Focused on deepening full-stack engineering and professional development.
Accomplishments
SCUDEM Outstanding Award
SCUDEM
Recognized for outstanding performance in a modeling challenge.
Grand Integrator
Award highlighting strong performance in advanced mathematics/integration.
Undergraduate Mathematics Competition — 3rd Place
Placed 3rd in a university-level mathematics competition.
Certifications
Cloud and cybersecurity foundations.
Verified credentials across cloud and cybersecurity that back up the hands-on AI and full-stack projects.
Now
What I'm focused on.
Designing robust RAG/LLM systems, exploring agentic workflows, and sharpening full-stack fundamentals.
Contact
Let's build something.
If you're exploring RAG systems, agentic workflows, or want a pragmatic engineer for your team, I'd love to chat.