Andrew Mesa

Software engineering background and technical skills

I am a Software Engineer at Datadog in New York City and a Worcester Polytechnic Institute alumnus, originally from Boise, Idaho.

At WPI, I double-majored in Computer Science and Data Science and graduated with high distinction. My academic work combined technical coursework with applied, interdisciplinary projects in full-stack development, artificial intelligence, accessibility, research, and physical computing.

My capstone team developed a multilingual application integrated with InnoSpire smart glasses to support visually impaired and blind users. The project combined online and offline language-model workflows, computer vision, mobile development, and user evaluation, and received WPI's Data Science Outstanding Major Qualifying Project Award.

Professionally, I have worked at Datadog, LinkedIn, HP, STEM Forged, and Vellotti's Chess School. My experience ranges from developer infrastructure and full-stack product development to firmware, security automation, educational content, and instruction.

Outside of work, I enjoy camping, cooking, and photography.

Education

Aug 2021 — May 2025

B.S. in Computer Science and Data Science

Worcester Polytechnic Institute ↗
GPA: 3.83

Bachelor's Degree with High Distinction

Fencing · Society of Hispanic Professional Engineers · Association for Computing Machinery

Certification

Mar 2023

SOLIDWORKS

Tangix Design & Development AB

Credential ID: C-U7XLT5ZBAN

Languages

EnglishPrimary profile language
SpanishLimited working proficiency

Technical areas

Full-stack engineering

Building product experiences across user interfaces, services, APIs, authentication, and data layers.

AI and accessibility

Developing useful language- and vision-model applications, including tools designed with accessibility in mind.

Embedded systems

Working close to hardware through firmware, memory registers, ASIC data collection, and device-level tooling.

Developer infrastructure

Improving engineering workflows with automation, continuous integration, infrastructure as code, and dependable internal tools.

Research and data

Using mixed-method research, data analysis, modeling, and evaluation to turn technical work into clear recommendations.

Photography and physical computing

Photography and physical-computing projects, including image portfolios and interactive installations.

Skills

Programming languages

  • Go
  • Python
  • Java
  • C
  • C++
  • JavaScript
  • TypeScript
  • R
  • SQL
  • Assembly

Web and mobile

  • React
  • Next.js
  • React Native
  • Android Development
  • HTML
  • CSS
  • REST APIs
  • API Development

Backend, cloud, and infrastructure

  • AWS
  • gRPC
  • NoSQL
  • Database Design
  • Terraform
  • Continuous Integration
  • Git
  • GitHub Enterprise

AI and data

  • Artificial Intelligence
  • Machine Learning
  • Prompt Engineering
  • OpenAI API
  • Pandas
  • Data Mining

Systems and security

  • Embedded Systems
  • Linux
  • Operating Systems
  • Computer Networks
  • Network and Device Security
  • Firmware

Research, design, and collaboration

  • Full-Stack Development
  • Project Management
  • Research
  • Leadership
  • Communication
  • SOLIDWORKS
  • Adobe Creative Suite
  • WordPress
  • Robotics

Selected coursework

CS 2123Algorithms
MIS 4084Business Intelligence
BUS 1010Business Leadership
CS 3516Computer Networks
CS 4445Data Mining
DS 3010Data Science — Computational Data Intelligence
CS 4432Database Systems
CS 4801Introduction to Cryptography and Communication Security
CS 4342Introduction to Artificial Intelligence
CS 2011Machine Organization and Assembly Language
CS 4342Machine Learning
CS 3013Operating Systems
CS 3733Software Engineering
CS 4241Webware: Computational Technology for Network Information Systems