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Matthew H. - Fullstack Developer, React Native, nextjs

My journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.

Main technologies

  • Fullstack Developer

    6 years

  • Python

    3 Years

  • C++

    3 Years

  • TypeScript

    3 Years

Additional skills

  • Python
  • C++
  • TypeScript
  • JavaScript
  • Git
  • Linux
  • React
  • vue.js
  • RESTful API
  • Internet of Things
  • ARM Cortex-M
  • Computer Vision
  • Natural Language Processing
  • Real-Time Computing
  • Automation
  • App Development
  • Apps
  • React Native
  • nextjs

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Experience Highlights

RECONN.AI

Platform to manage and analyze camera trap images by leveraging custom machine learning algorithms from user-trained images to help classify any animal species. I was one of three developers who made significant contributions to the platform’s full-stack development. I developed an image processing pipeline that utilized neural networks for animal detection and classification. We leveraged a relational database in PostgreSQL. I helped setup and maintain cloud servers utilizing high performance GPU’s for developing neural networks and serving the platform backend/database.

audio-toolkit

Web-based application utilizing AI to process audio files. Featuring tools like music source separation, transcription, noise reduction, etc.

Ultrasonic Anemometer

I prototyped a signal modulating circuit in order to extrapolate the wind speed and temperature in-between a pair of 40 kHz ultrasonic transducers. I then later designed, developed, and tested a PCB shield for an ARM cortex M4 microcontroller to drive a low-cost 3D ultrasonic anemometer.

High-Altitude LiDAR Atmospheric Sensing

HALAS is an array of weather station systems housed in up-fitted shipping containers (ground-based), Gulf-stream IV jets (air-based) and RQ-4 Global Hawk drones (air-based) that provide atmospheric data at high altitudes (over 100,000 feet). I developed the system software featuring solutions that were real-time, multi-threaded and cloud distributed. We followed an AGILE software development methodology with frequent peer code reviews. I supported data collection campaigns - traveling to various site locations for system installation, checkout, collection, and operation.

SmartFarm

An early-development sensor suite to measure N2O emissions from agricultural fields using laser-based sensors mounted on drones. These sensors include an optical absorption cell, a short-range miniature wind LIDAR, and a camera for plant health and ground assessment. I lead the projects software development and hardware integration.

Education

  • Kettering University

    Bachelor's degree in

    2016-01-01-2019-01-01

Languages

  • English

Personal Accounts