A driven and curious software developer with a passion for solving complex problems and creating seamless user experiences. With 6+ years of experience in developing web and mobile applications. I have a strong interest in the integration of AI and web3 technology, and how it can revolutionize the future of software development. I thrive in a collaborative environment and continuously strive to improve my craft through learning new technologies and methodologies. Ready to bring my technical expertise and creative problem-solving skills to a dynamic team.

  • Birthday: 19 May 1995
  • Phone: +233 54 872 3292
  • City: Accra
  • Email: devdannny@gmail.com


Software Development

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering



Image Processing


MS in Computer Science

Janurary 2021 - Present
Relevant Coursework
  • Distributed Database Systems
  • Cloud Computing
  • Foundation Of Algorithms

B.Tech. in Information and Communication Technology

July 2014 - May 2018
Relevant Coursework
  • Database Management Systems
  • Algorithms & Optimization for Big Data
  • Machine Learning

Online Certification

Machine Learning

Algorithms-Design and Analysis

Algorithmic Toolbox

Deep Learning with Tensorflow

Machine Learning with Python

Neural Networks and Deep Learning


Arizona State University

January 2021 - Present

Software Engineer

  • Managed large‑scale deployment of JupyterHub with Nbgrader and webwork software, facilitating approx 5500 students.
  • Configured, troubleshot, and administered server‑side web applications for the statistics department.
  • Handled Linux server administration and Apache configuration; automated tasks like user account creation, managing student database, and system maintenance using Shell and automation scripts, reducing manual work by 200%.

Augmenify Infotech Pvt. Ltd.

August 2020 - November 2020

Backend Developer

  • Documented and coded server‑less web application for the hotel industry and designed REST API using Flask‑based JWT authentication.
  • Redeveloped an existing system to support customer account management, scheduling, and time tracking; enabled dynamic API calls with the help of Amazon API Gateway, AWS Lambda, and DynamoDB.

Epitome Corporation Pvt. Ltd.

July 2019 - Dec 2019

Software Developer

  • Tested, designed, and developed backend APIs of WebRTC enabled multi‑party video conferencing web application and delivered the project 15 days ahead of schedule by efficiently designing the flow of the project.

Meditab Software Pvt. Ltd.

May 2018 - June 2018

Programmer Analyst

  • Optimized image processing algorithm of pill detection by creating customized MASKRCNN algorithm, increasing accuracy by 15%; trained classification algorithm with the help of triplet loss to learn the image embedding of pill, reducing the hassle of collecting data of new pills.
  • Devised a pipeline of the project to incorporate it into the product of the company. Implemented Restful APIs in Django that enabled our quality Analyst team to increase reporting speed by 46%.
  • Built a web app to onboard data from the company’s product using Flask, Postgres, and AWS S3, enabling interactive charts in real-time.
  • Mentored 2 interns to optimize the pill detection algorithm and to include the multiprocessing pipeline, increasing overall speed by 75%.

Space Application Centre, ISRO

Jan 2018 - May 2018

Research Intern

  • Implemented noise reduction algorithm on the satellite image and prepared architecture for detecting objects in high‑resolution satellite images, achieving 80% accuracy.
  • Increased accessibility of satellite image data by redesigning database and application for showcasing graphical data.


  • All
  • Mobile App
  • Web-App
  • UI/UX

ECG Fintech App

Bamboo App - Crypto

Elys Royal LMS

IceBreaker Dating App



Clozar - Ecommerce

Clozar UI/UX

Bishelter - Ecommerce

Admission Portal - KUC

Franstine App - Fintech

NPP Membership Mgt. System



Languages and Databases

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Frameworks & Libraries

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Tools & Platforms

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Social Profiles




+233 54 872 3292