Kiminza Janet | Software Developer

Hi, I'm Janet Kiminza.

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"Creative and detail-oriented developer passionate about crafting intuitive user experiences. With a strong background in Frontend Development and UI/UX design, I bring ideas to life through responsive, accessible, and visually appealing interfaces. I also have experience integrating blockchain technologies into web applications, bridging design with decentralized solutions.".

About

"I am a final-year Computer Science student at Kenyatta University with a strong passion for problem-solving and crafting seamless digital experiences. My main focus is on Frontend Development and UI/UX design, where I enjoy turning ideas into intuitive, responsive, and user-friendly interfaces. Alongside design and frontend work, I am also exploring Blockchain and Web3 technologies, including smart contracts and decentralized applications (dApps). This combination allows me to bridge user-centered design with the innovative possibilities of decentralized systems. My goal is to build scalable applications that not only solve real-world problems but also deliver engaging experiences for users."

Languages: HTML, CSS, JavaScript, TypeScript, Tailwind CSS, Solidity,Rust
Databases: MySQL, PostgreSQL, MongoDB
Libraries: React, Tailwind CSS, Web3.js, Ethers.js
Frameworks: Next.js, Hardhat, Truffle
Tools & Technologies: Git, Figma, Metamask, IPFS, Docker, AWS

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Sportserve

Junior Front-End Developer

Maintained and redesigned the company website, improving UI consistency and ensuring responsive design across devices.
Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS.
Built and integrated 50+ RESTful APIs across three web applications (customer, vendor, admin) with features such as login/sign up, product listing, cart, and checkout.
Improved system performance by 20% through refactoring the codebase and optimizing database queries and schema design.
Implemented a bulk upload feature, reducing manual product entry and improving operational efficiency.
Tools: HTML, CSS, JavaScript, React, Python, Flask, MongoDB, AWS, Git/GitHub

July 2024 - Nov 2025 | Canada

Bchain AFRICA

Developer Relation

Maintained and redesigned the company website, improving UI consistency, accessibility, and responsive design across devices.
Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS.
Built and integrated 50+ RESTful APIs across three web applications (customer, vendor, admin) with features such as login/sign up, product listing, cart, and checkout.
Improved system performance by 20% through refactoring the codebase and optimizing database queries and schema design.
Implemented a bulk upload feature, reducing manual product entry and improving operational efficiency.
Contributed as a Developer Relations (DevRel) advocate by engaging with developer communities, hosting workshops, and creating technical content to improve product adoption.
Supported developers with documentation, tutorials, and direct guidance on using APIs and developer tools.
Tools: HTML, CSS, JavaScript, React, Python, Flask, MongoDB, AWS, Git/GitHub, Markdown

Dec 2024- July 2025 | Lagos, Nigeria

Mtag Innovations

Campus Ambassodor

Programmed a cloud-based web app using Flask and JavaScript aimed at storing, visualizing, and tracking temperature and humidity of each drug container to estimate the degradation of the drug.
Created an alert system to send notifications and emails when the parameters exceed the threshold.
Tools: Python, Flask, JavaScript

July 2018 - Nov 2018 | Ahmedabad, India

CIGNEX Datamatics

Project Trainee

Designed a library management system for a local library, where we undertook activities like requirement elicitation, preparing Data Flow and Entity-Relationship diagrams.
Delivered a solution for a POC involving Automatic Financial Document Classifier using Natural Language Processing and Support Vector Machines with 96% accuracy on the company’s data.
Tools: Python, Scikit-learn, NLTK

June 2017 - July 2017 | Ahmedabad, India

Projects

                
Metanexus
                  A Blockchain Based Gaming Hub
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.