Full-Stack Developer with Cloud & Data Focus

Hassan Abdi

Beaverton, OR ***********@*****.*** github.com/Hassankusow linkedin.com/in/hassan-abdi-119357267 EDUCATION

Portland State University - B.S. in Computer Science & Mathematics — Graduated March 2026 TECHNICAL SKILLS

Cloud & Infrastructure: AWS (EC2, VPC), Docker, GitHub Actions, CI/CD, Vercel, Nhost Languages: Python, TypeScript, JavaScript, SQL, Java, C, C++ Frontend & Backend: React, Next.js, Node.js, GraphQL, REST APIs, PostgreSQL AI & Data: OpenAI API, Vector Search (pgvector), Embeddings, NLP, Pandas, NumPy Security & Auth: OAuth 2.0, JWT, Role-Based Access Control (RBAC), Two-Factor Authentication Tools & Practices: Git, Linux, Agile/Scrum, CI/CD, Performance Optimization, Accessibility (WCAG) PROJECTS

Kanban Board — Project Management Platform Next.js 15, React 19, TypeScript, GraphQL, Nhost/Hasura, Tailwind CSS https://kanban-board-orpin-iota.vercel.app/

● Built a full-stack project management tool with drag-and-drop cards (dnd-kit), multi-board workspaces, assignee system, and real-time GraphQL backend — deployed live on Vercel.

● Implemented CI/CD pipeline with GitHub Actions for automated testing and deployment, reflecting enterprise-grade delivery practices. Restaurant Website — Amir Motherhood (Client Project) Next.js, React, TypeScript, Tailwind CSS, Vercel https://amir-restaurant.vercel.app/

● Designed and developed a full production website for a local East African restaurant from client requirements to live deployment — demonstrating end-to-end project ownership.

● Implemented dynamic image galleries, mobile-responsive layout, and an online ordering contact flow optimized for accessibility and performance.

● The client website averages about north of 100+ average users and is growing. Fault Detection & Equipment Health Monitor Python, SQL, Pandas, Regex https://hassankusow-fault-detection-srcdashboard-rnhhxu.streamlit.app/

● Built a log parsing pipeline using regex to ingest and structure 60K+ equipment telemetry records across 7 infrastructure units (pumps, compressors, HVAC generators) simulating government facility operations

● Detected equipment degradation using rolling z-score and IQR anomaly detection, flagging 7.6% of readings for proactive intervention — directly applicable to federal infrastructure monitoring

● Computed MTBF/MTTR reliability metrics via SQL aggregation and correlated fault events with downstream system impact, enabling data-driven maintenance prioritization

EXPERIENCE

Full-Stack Cloud Software Engineer — MyCritters Inc.may 2025 – April 2026 https://mycritters.com/

● Delivered production features for a cloud-native SaaS platform using Next.js, React, TypeScript, GraphQL, and PostgreSQL — directly supporting business operations and user growth.

● Integrated AI-powered capabilities including embeddings, semantic search, and tagging via external APIs, enhancing platform intelligence and user experience.

● Designed PostgreSQL schemas for users, sessions, and roles; implemented JWT and OAuth-based authentication with RBAC for fine-grained access control.

● Improved platform SEO, accessibility (WCAG), and performance — resulting in 200%+ increase in site traffic and measurably improved Lighthouse scores.

● Deployed and maintained cloud applications on Vercel and Nhost with automated CI/CD workflows via GitHub Actions.

● Collaborated in sprint-based delivery using GitHub, Linear, pull requests, and code reviews — mirroring consulting project delivery environments. Research Assistant — Wildfire Digital Twin Project — Portland State University Oct 2025 – Mar 2026 https://wdt.cecs.pdx.edu/

● Built high-throughput data ingestion and processing pipelines on a Linux HPC cluster (ORCA), reducing wildfire simulation runtime from hours to minutes through parallelization using Python and Rust.

● Integrated multiple real-time data sources (WRF-SFIRE, FourCastNet) into a unified simulation pipeline — directly applicable to government data modernization and cloud migration projects.

● Designed PostgreSQL schema for structured data storage and wrote optimized SQL queries to support downstream research analytics.

● Developed visualization dashboards to communicate large-scale geospatial outputs to non-technical stakeholders — demonstrating consulting-ready communication skills.

Computer Science & Mathematics graduate with production experience building cloud-native platforms, AI-powered features, and large-scale data pipelines. Comfortable delivering in agile, cross-functional teams and translating complex technical problems into working solutions. US citizen eligible for security clearance.

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