Open to work

Software engineer

Nathan Gandawa

nathangandawa@gmail.com

linkedin.com/in/nathan-gandawa/

South Bend, Indiana

Summary

I’m a software engineer with a strong focus on AI, full-stack development, and intelligent systems. My work bridges cutting-edge machine learning with real-world application—building tools that automate workflows, extract insights from unstructured data, and enhance user experience through thoughtful design. I’ve led end-to-end development of products powered by NLP, LLMs, and real-time inference, and I’m comfortable working across the stack with technologies like Python, React, TypeScript, Docker, and PostgreSQL. I thrive in fast-paced, product-driven environments where ideas move quickly from concept to impact.

I am currently interested in any work that involves AI/ML, frontend, backend or full-stack development.

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Education & Certificates

University of Notre Dame

2024 - 2025

Master of Science in Computer Science and Engineering

Africa University

2024 - 2025

Bachelor of Science in Computer Science

Work Experience

TD & Partners

Jun 2023 – Jan 2024

Software Engineer (Frontend)

At TD & Partners, I worked as a Software Developer where I built and deployed client-facing webapps using JavaScript, PHP, HTML/CSS, and WordPress. I created custom e-commerce landing pages integrated with Stripe and WooCommerce, which directly improved client conversion rates. I also optimized website performance using techniques like lazy loading, asset minification, and CDN integration to ensure fast, responsive experiences.

Afriblocks

Jun 2022 – Nov 2022

Software Developer

At Afriblocks, I worked with a cross-functional team to deliver scalable front-end features using React, TypeScript, and Redux. I led prototyping and iteration for user-facing components based on active feedback from over 100 users. My contributions to the homepage redesign, implemented with Tailwind CSS and Next.js, reduced bounce rates by 35% and improved overall performance across the platform.

Greygate

Mar 2021 – Jan 2022

Software Developer

At Greygate, I delivered more than eight production-ready web applications using React, Python (Flask), and PostgreSQL. I translated client requirements into functional software through agile sprints and direct collaboration. I also developed mobile-first, cross-browser interfaces using Bootstrap, which led to a 30%+ reduction in bounce rates across multiple client projects.

Personal Projects

AI-Powered Anti-Collision Driving Assistant
Built an AI-powered driving assistant using a Raspberry Pi, dashboard camera, and audio-visual alerts to detect obstacles in real time. Deployed a quantized MobileNet V2 model (fine-tuned on BDD-100K) for object detection within a 120-meter range.
DocTalk
Built a tool that records doctor-patient conversations and generates both clinical and simplified patient summaries. Includes real-time translation and speaker-aware processing for multilingual accessibility.
Time Series Forecasting for Financial Markets
Built neural network-based models using the Informer architecture modified with reinforcement learning. Applied to predict forex and cryptocurrency market trends using long-term dependencies in financial data.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Market Sentiment Analyzer
NLP system that scrapes news and analyzes sentiment using transformer models (i.e., BERT). Generates directional predictions for stocks and forex based on aggregated sentiment signals.
Soulbulbs NFT Platform
Custom NFT minting and customization tool built with React and Web3 technologies. Enabled users to create, preview, and mint unique digital assets.
Cointegration-Based Pairs Trading Strategy
Used the Engle-Granger two-step method to identify statistically bound asset pairs for trading. Tested and applied in forex, crypto, and equity markets.
Safety App
Mobile app for users meeting strangers, with features like GPS tracking and emergency response. Built using React Native and designed for safety-conscious interactions.
Triangular Arbitrage Strategy
Developed a Bellman-Ford-based algorithm to identify profitable arbitrage cycles between crypto pairs. Implemented with flashloans on blockchain for zero-capital execution.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Trading Performance Dashboard
Built a dashboard to visualize and analyze trade history and performance. Integrated ML models to predict trader success based on behavior and strategy.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
AI-Powered Anti-Collision Driving Assistant
Built an AI-powered driving assistant using a Raspberry Pi, dashboard camera, and audio-visual alerts to detect obstacles in real time. Deployed a quantized MobileNet V2 model (fine-tuned on BDD-100K) for object detection within a 120-meter range.
DocTalk
Built a tool that records doctor-patient conversations and generates both clinical and simplified patient summaries. Includes real-time translation and speaker-aware processing for multilingual accessibility.
Time Series Forecasting for Financial Markets
Built neural network-based models using the Informer architecture modified with reinforcement learning. Applied to predict forex and cryptocurrency market trends using long-term dependencies in financial data.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Market Sentiment Analyzer
NLP system that scrapes news and analyzes sentiment using transformer models (i.e., BERT). Generates directional predictions for stocks and forex based on aggregated sentiment signals.
Soulbulbs NFT Platform
Custom NFT minting and customization tool built with React and Web3 technologies. Enabled users to create, preview, and mint unique digital assets.
Cointegration-Based Pairs Trading Strategy
Used the Engle-Granger two-step method to identify statistically bound asset pairs for trading. Tested and applied in forex, crypto, and equity markets.
Safety App
Mobile app for users meeting strangers, with features like GPS tracking and emergency response. Built using React Native and designed for safety-conscious interactions.
Triangular Arbitrage Strategy
Developed a Bellman-Ford-based algorithm to identify profitable arbitrage cycles between crypto pairs. Implemented with flashloans on blockchain for zero-capital execution.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Trading Performance Dashboard
Built a dashboard to visualize and analyze trade history and performance. Integrated ML models to predict trader success based on behavior and strategy.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
AI-Powered Anti-Collision Driving Assistant
Built an AI-powered driving assistant using a Raspberry Pi, dashboard camera, and audio-visual alerts to detect obstacles in real time. Deployed a quantized MobileNet V2 model (fine-tuned on BDD-100K) for object detection within a 120-meter range.
DocTalk
Built a tool that records doctor-patient conversations and generates both clinical and simplified patient summaries. Includes real-time translation and speaker-aware processing for multilingual accessibility.
Time Series Forecasting for Financial Markets
Built neural network-based models using the Informer architecture modified with reinforcement learning. Applied to predict forex and cryptocurrency market trends using long-term dependencies in financial data.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Market Sentiment Analyzer
NLP system that scrapes news and analyzes sentiment using transformer models (i.e., BERT). Generates directional predictions for stocks and forex based on aggregated sentiment signals.
Soulbulbs NFT Platform
Custom NFT minting and customization tool built with React and Web3 technologies. Enabled users to create, preview, and mint unique digital assets.
Cointegration-Based Pairs Trading Strategy
Used the Engle-Granger two-step method to identify statistically bound asset pairs for trading. Tested and applied in forex, crypto, and equity markets.
Safety App
Mobile app for users meeting strangers, with features like GPS tracking and emergency response. Built using React Native and designed for safety-conscious interactions.
Triangular Arbitrage Strategy
Developed a Bellman-Ford-based algorithm to identify profitable arbitrage cycles between crypto pairs. Implemented with flashloans on blockchain for zero-capital execution.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Trading Performance Dashboard
Built a dashboard to visualize and analyze trade history and performance. Integrated ML models to predict trader success based on behavior and strategy.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
AI-Powered Anti-Collision Driving Assistant
Built an AI-powered driving assistant using a Raspberry Pi, dashboard camera, and audio-visual alerts to detect obstacles in real time. Deployed a quantized MobileNet V2 model (fine-tuned on BDD-100K) for object detection within a 120-meter range.
DocTalk
Built a tool that records doctor-patient conversations and generates both clinical and simplified patient summaries. Includes real-time translation and speaker-aware processing for multilingual accessibility.
Time Series Forecasting for Financial Markets
Built neural network-based models using the Informer architecture modified with reinforcement learning. Applied to predict forex and cryptocurrency market trends using long-term dependencies in financial data.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Resumatch
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Market Sentiment Analyzer
NLP system that scrapes news and analyzes sentiment using transformer models (i.e., BERT). Generates directional predictions for stocks and forex based on aggregated sentiment signals.
Soulbulbs NFT Platform
Custom NFT minting and customization tool built with React and Web3 technologies. Enabled users to create, preview, and mint unique digital assets.
Cointegration-Based Pairs Trading Strategy
Used the Engle-Granger two-step method to identify statistically bound asset pairs for trading. Tested and applied in forex, crypto, and equity markets.
Safety App
Mobile app for users meeting strangers, with features like GPS tracking and emergency response. Built using React Native and designed for safety-conscious interactions.
Triangular Arbitrage Strategy
Developed a Bellman-Ford-based algorithm to identify profitable arbitrage cycles between crypto pairs. Implemented with flashloans on blockchain for zero-capital execution.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Trading Performance Dashboard
Built a dashboard to visualize and analyze trade history and performance. Integrated ML models to predict trader success based on behavior and strategy.
Loweyy
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.

AI-Powered Anti-Collision Driving Assistant
AI & Embedded Systems
Built an AI-powered driving assistant using a Raspberry Pi, dashboard camera, and audio-visual alerts to detect obstacles in real time. Deployed a quantized MobileNet V2 model (fine-tuned on BDD-100K) for object detection within a 120-meter range.
DocTalk
AI / NLP / ML
Built a tool that records doctor-patient conversations and generates both clinical and simplified patient summaries. Includes real-time translation and speaker-aware processing for multilingual accessibility.
Time Series Forecasting for Financial Markets
Trading Systems
Built neural network-based models using the Informer architecture modified with reinforcement learning. Applied to predict forex and cryptocurrency market trends using long-term dependencies in financial data.
Loweyy
WebApps
Solo-built e-commerce platform to streamline shopping across Africa, starting with Zimbabwe. Integrated an AI chatbot for customer assistance and scaled to 1,000 daily users in one month. Reduced shipping lead time from 5–6 weeks to 2 weeks using logistics partnerships.
Resumatch
AI/NLP/ML
AI-powered resume and cover letter optimization tool. Analyzes job descriptions and tailors user documents using LLMs, with ATS-friendly formatting and browser extension support.
Market Sentiment Analyzer
Trading Systems
NLP system that scrapes news and analyzes sentiment using transformer models (i.e., BERT). Generates directional predictions for stocks and forex based on aggregated sentiment signals.
Soulbulbs NFT Platform
WebApps
Custom NFT minting and customization tool built with React and Web3 technologies. Enabled users to create, preview, and mint unique digital assets.
Cointegration-Based Pairs Trading Strategy
Trading Systems
Used the Engle-Granger two-step method to identify statistically bound asset pairs for trading. Tested and applied in forex, crypto, and equity markets.
Safety App
WebApps
Mobile app for users meeting strangers, with features like GPS tracking and emergency response. Built using React Native and designed for safety-conscious interactions.
Triangular Arbitrage Strategy
Trading Systems
Developed a Bellman-Ford-based algorithm to identify profitable arbitrage cycles between crypto pairs. Implemented with flashloans on blockchain for zero-capital execution.
Trading Performance Dashboard
Trading Systems
Built a dashboard to visualize and analyze trade history and performance. Integrated ML models to predict trader success based on behavior and strategy.

Skills & Tools

React, Next.js, Redux

Tailwind CSS, Bootstrap

Python

LLMs, Machine Learning

Node.js, Express.js

JavaScript

Solidity

Solidity

Docker

Figma

GitHub

AWS

Hugging Face

Links

Lets Connect

nathangandawa@gmail.com

+1 574-220-1434

© 2025 by Nathan Gandawa

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