Open to opportunities

Malcolm Clottey

@malcolmclottey

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Aspiring software engineer with expertise in full-stack development.

United States

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What I'm looking for

I am looking for a dynamic role that fosters innovation and growth, where I can apply my technical skills and collaborate with a passionate team.

I am a dedicated computer science student at Ashesi University, specializing in Software Engineering and System Design. With a strong GPA of 3.52 and a place on the Dean's List, I have developed a solid foundation in software development principles and practices. My hands-on experience includes building a Hybrid Algorithmic and AI Based Timetabling System, where I successfully implemented greedy and genetic algorithms to optimize scheduling across multiple rooms.

In my role as a Software Engineer for various projects, I have honed my skills in developing robust applications using Flask, React, and TensorFlow. My work on a Real-Time Fraud Detection Platform showcased my ability to apply machine learning techniques effectively, achieving high accuracy rates. I thrive in collaborative environments, as demonstrated by my leadership in the Cryptocurrency Price Predictor project, where I guided my team to deploy a predictive model that enabled real-time analysis.

Experience

Work history, roles, and key accomplishments

Full-Stack Developer

Ashesi University

Jan 2025 - Present (6 months)

Built a scheduling system using greedy and genetic algorithms to assign 483 sessions across 20 rooms in 30 seconds. Optimised Flask and MySQL APIs with Prometheus and Grafana monitoring, maintaining sub-20 millisecond response times.

Flask MySQL Prometheus Grafana Docker CI CD AWS EC2

Software Engineer

Ashesi University

Oct 2024 - Present (9 months)

Developed a containerised platform with a React UI, Flask API, TensorFlow recommender, and scikit-learn expiry predictor using Docker Compose. Built a GitHub Actions pipeline to lint, test, build, and deploy services to AWS ECS in under three minutes.

React Flask TensorFlow scikit learn Docker Compose GitHub Actions AWS ECS Prometheus Grafana

Software Engineer

Ashesi University

May 2024 - Present (1 year 2 months)

Developed a Flask-based microservice using an XGBoost model to score transactions in real time with 98.65 percent accuracy and 0.9987 ROC-AUC. Applied SMOTE and ADASYN to balance training data, improving fraud detection recall on minority cases.

Flask XGBoost SMOTE ADASYN Nginx Docker

Education

Degrees, certifications, and relevant coursework

Ashesi University College

BSc. Computer Science, Computer Science

Grade: 3.52/4.00

Activities and societies: Google Developer Student Club, Research Club

Concentrated in Software Engineering & System Design, achieving a GPA of 3.52/4.00 and making the Dean’s List. Completed coursework in Software Engineering, Data Structures & Algorithms, Object-Oriented Programming, Web Technologies, Networks & Data Communications, Operating Systems, and Mobile Application Development.