Help & Supportcareers@gravityer.com

Richard Gbamara

Software Engineer

https://talent.gravityer.com/richard-gbamara

Software Engineer with 4+ years in full-stack web, mobile, and AI/ML applications

Translight Solar Limited

Key Strengths

Strong full-stack development capabilities with a focus on Python/Django for backend and mobile development (Swift/Kotlin/Flutter).
Proven experience in designing and deploying scalable RESTful APIs and integrating payment gateways.
Demonstrated ability to leverage AI-powered development tools (GitHub Copilot, ChatGPT, Claude) for accelerated workflows.
Solid background in applied Machine Learning, including CNNs, BERT, and conversational AI systems.
Experience with cloud deployment platforms (Render, DigitalOcean, Heroku, Vercel) and Git-based pipelines.
Mentorship experience in Python and Django, indicating leadership potential and commitment to clean code standards.
High scores in Java and Web Technologies assessments, showcasing versatility beyond primary Python stack.

Skill Analysis

Java Development

★★★★★

88%

Achieved a high score of 88%, indicating strong proficiency in Java development, testing, and clean code principles.

GroovyJavaJUnitClean CodeGradleSpockJava 11

Strengths

Strong understanding of Java fundamentals and ecosystem.
Proficient in testing frameworks like JUnit and Spock.
Demonstrates good practices in clean code and build tools (Gradle).

Limitations

No specific weaknesses identified based on the high score, but further depth in advanced Java features or Spring Framework was not explicitly tested.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's diverse project experience, ranging from academic research in deep learning to commercial software engineering roles, indicates adaptability and a broad interest in technology. Their explicit desire to join a team that treats AI as a first-class part of the engineering workflow aligns well with forward-thinking, AI-integrated development environments. The experience with distributed/remote teams also suggests flexibility. The blend of backend, mobile, and ML skills, along with mentorship, points to a collaborative and growth-oriented individual.

Soft Skills & Operational Fit

The candidate's resume highlights experience in cross-functional collaboration, structured code reviews, and mentoring, indicating strong teamwork and communication skills. Their use of AI tools for code review and architectural sounding-boarding suggests an adaptive and modern approach to development. The focus on reducing bug reports and increasing revenue demonstrates a results-oriented mindset. The psychometric test score of 316/500 (63.2%) suggests average logical reasoning, work attitude, and stress handling, which could be an area for further exploration.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Software Engineer with hands-on experience shipping production web and mobile applications, increasingly augmented by AI-powered development tools (GitHub Copilot, Cursor, Claude, and ChatGPT) across coding, debugging, testing, and documentation workflows. Comfortable across the full stack - Python/Django, JavaScript/Node, React/Next.js, Flutter - with a complementary background in applied ML (BERT chatbots, CNN-based diagnostic models). Looking to join a team that treats AI as a first-class part of the engineering workflow.

Top Skills

PythonFlaskCursorLSTMFlutter

Skills

PythonSwiftKotlinDartSQLDjangoDjango Rest FrameworkFlaskNode.JsExpressNext.Jsreactkotlin-androidFlutterFirebaseGithub CopilotCursorClaudeChatGPTHerokuVercelLSTMBERTTransfer LearningImage ProcessingPrompt EngineeringMilvusEmbeddingsSemantic SearchAgile DevelopmentCode ReviewCross Functional Collaboration

Education

University of Ghana

MSc · Data Science

October 1, 2025 – October 1, 2027

Ashesi University

BSc · Computer Science

January 1, 2021 – December 1, 2024

Experience

Translight Solar Limited

Software Engineer

March 1, 2025 – Present

Accra, Greater Accra Region, Ghana

Future Africa Scientist

Backend Engineer

July 1, 2024 – October 1, 2024

Uganda

ExpressMed

Software Engineer

May 1, 2024 – January 1, 2026

Accra, Greater Accra Region, Ghana

Ahegel

Machine Learning Intern

October 1, 2023 – July 1, 2025

Nigeria

Projects

Early Detection of Diabetic Retinopathy with Deep Learning

October 1, 2024 – March 1, 2025

Developed a CNN-based classifier for early detection of diabetic retinopathy, achieving 89.57% classification accuracy. Ran rigorous evaluation and testing to validate model reliability for use in low-resource clinical settings.

Enhancing Examination Integrity Using Activity Recognition

September 1, 2023 – August 1, 2024

Built a dual-model real-time proctoring system combining Faster R-CNN for object detection and CNN-LSTM for action recognition. Achieved 87.6% mAP for object detection and 86.7% accuracy for action recognition. Collected and annotated 6,000+ frames from 200 simulated exam videos to construct the training dataset.

Key Strengths

Strong full-stack development capabilities with a focus on Python/Django for backend and mobile development (Swift/Kotlin/Flutter).
Proven experience in designing and deploying scalable RESTful APIs and integrating payment gateways.
Demonstrated ability to leverage AI-powered development tools (GitHub Copilot, ChatGPT, Claude) for accelerated workflows.
Solid background in applied Machine Learning, including CNNs, BERT, and conversational AI systems.
Experience with cloud deployment platforms (Render, DigitalOcean, Heroku, Vercel) and Git-based pipelines.
Mentorship experience in Python and Django, indicating leadership potential and commitment to clean code standards.
High scores in Java and Web Technologies assessments, showcasing versatility beyond primary Python stack.

Skill Analysis

Java Development

★★★★★

88%

Achieved a high score of 88%, indicating strong proficiency in Java development, testing, and clean code principles.

GroovyJavaJUnitClean CodeGradleSpockJava 11

Strengths

Strong understanding of Java fundamentals and ecosystem.
Proficient in testing frameworks like JUnit and Spock.
Demonstrates good practices in clean code and build tools (Gradle).

Limitations

No specific weaknesses identified based on the high score, but further depth in advanced Java features or Spring Framework was not explicitly tested.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

SAP Digital Transformation Management

★★★★★

80%

Scored 80%, showing good foundational knowledge in SAP Digital Transformation Manager concepts, specifically ITBP.

IT Business Partner (ITBP)

Strengths

Solid understanding of IT Business Partner concepts within a digital transformation context.

Limitations

The specific technical depth in SAP modules or broader digital transformation strategies beyond ITBP is not detailed.

Frontend Application Development

★★★★★

80%

Achieved 80%, indicating a good grasp of frontend application development principles, likely with React/TypeScript.

ReactTypeScriptApplication Developer

Strengths

Competent in frontend development, likely with React/TypeScript given the exam name.
Demonstrates practical application development skills.

Limitations

Specific areas of strength or weakness within React/TypeScript (e.g., state management, performance optimization) are not detailed by the generic skill tag.

Senior AI/Data Science

★★★★★

68%

A score of 68% indicates a fair understanding of Senior AI/DS concepts, but suggests room for growth in advanced areas.

Machine LearningDevOpsData ScienceSystem AdministrationAdaptability

Strengths

Demonstrates foundational knowledge in machine learning and data science concepts.
Shows awareness of DevOps and system administration aspects relevant to AI/DS.

Limitations

The score of 68% suggests there are areas for improvement or deeper understanding required in advanced AI/DS topics, potentially in model deployment, MLOps, or complex algorithm design.
Specific weaknesses in particular ML algorithms or data science methodologies are not detailed.

Java & Web Technologies

★★★★★

95%

Achieved an outstanding score of 95%, demonstrating expert-level knowledge in Java and Web Technologies, including specialized Pricefx consultant skills.

Application DeveloperJavaWeb TechnologiesPricefx certified consultant

Strengths

Exceptional proficiency in Java and web technologies.
Strong practical application development skills, potentially with Pricefx platform specifics.

Limitations

No specific weaknesses identified given the very high score.