Muhammad Moiz

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Muhammad Moiz

Hanover, NH | (603) 349-0579 | moizcs059@gmail.com | LinkedIn | GitHub

Education

Dartmouth College – Hanover, NH
Bachelor of Science in Computer Science and Mathematics (GPA: 3.7) — Jun 2026
Admitted to Dartmouth 4+1 M.S. in Computer Science (Start Fall 2026; Conferral Jun 2027)
Selected Coursework: Operating Systems, Compilers, Advanced Algorithms, Artificial Intelligence, Linear Algebra

Skills

Languages: Python, Java, C++, TypeScript/JavaScript
Frameworks & Tools: React, Node.js (Express), Flask, Docker, Kubernetes, Terraform
Databases & Storage: PostgreSQL, MongoDB, Redis, AWS S3, DynamoDB
Cloud & DevOps: AWS (Lambda, ECS, CloudFormation), GCP (Cloud Functions), GitHub Actions (CI/CD)
Concepts: Microservices, RESTful APIs, TDD, Event-driven Architecture, Data Structures & Algorithms, System Design

Relevant Experience

Software Engineering Intern | Absanoh (E‑commerce Platform) – Manchester, UK
Jun 2025 – Aug 2025

  • Built React checkout microservice with Stripe, raising purchase completion 18% for 12K+ monthly shoppers.
  • Deployed AWS Lambda + DynamoDB with DLQs/logging, cutting critical errors 45% and sustaining 99.95% uptime.
  • Automated Docker CI/CD in GitHub Actions, slashing deployments 30→4 min and enabling 6+ daily releases.
  • Created Jest/PyTest suites with 90% coverage, reducing post-release bug incidents 30% across sprints.

Software Developer | Dartmouth Rauner Special Collections Library – Hanover, NH
Sep 2024 – May 2025

  • Designed PostgreSQL FTS + Node/Flask indexing pipeline for 500K+ manuscripts, delivering <1s queries.
  • Optimized query plans, indexes, and caching; sustained millions of lookups under peak load without degradation.
  • Automated ingest & metadata workflows, saving archivists 10+ hours weekly and doubling cataloging throughput.

Software Engineering Intern | Muff Fashion LTD (Apparel E‑commerce) – Manchester, UK
Jun–Aug 2023 & 2024

  • 2024: Built AWS Lambda/S3 async image pipeline with DLQs and presigned URLs, cutting 60% manual asset work and boosting product page LCP 28%.
  • 2023: Optimized REST endpoints and LRU caching to keep p95 API latency <200 ms for 20K+ MAUs.
  • 2023: Built Python/SQL → Tableau dashboards, cutting reporting time 50% and improving accuracy 35%.
  • 2023: Added CloudWatch alarms that reduced noisy pages 40% and improved ops reliability.

Projects

Tiny Search Engine (C, Systems Design) – Built a document crawler, indexer, and querier for 15K files; reduced average query latency from 30 s to 0.8 s via custom tokenization, memory pooling, and I/O profiling.
ManToGo (React, Node.js, Mapbox) – Led front-to-back implementation of payments, routing, and rewards; onboarded 150+ active users in 3 weeks and validated end-to-end order flow.
Nuggets (UDP Multiplayer, Team of 4) – Developed authoritative UDP server with client interpolation; achieved <100ms sync for 4+ players and robust disconnect handling.

Additional Experience

Teaching Assistant (CS59: Programming Fundamentals) | Dartmouth College – Summer 2025
Mentored 50+ students on C debugging; pass rate improved 12% vs. prior year.
Project Assistant | Evergreen.AI Research Group – Jan 2024 – May 2024
Prototyped React/Python AI wellness platform piloted by 100+ undergrads; informed campus health initiatives.

Certifications

AWS Certified Cloud Practitioner (expected 2025); CodePath Intermediate Technical Interview (2024); IBM Full Stack Developer; Scrimba Frontend (JavaScript/React)

Last Updated: September 2025