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John Akhilomen's avatar
John Akhilomen
proMinneapolis, USA
PixelForge Labs
$5k+
Earned
1x
Hired
5.0
Rating
9
Followers
PixelForge Labs
Cover image for #TeQius An online coding bootcamp designed to help career-ch...
#TeQius An online coding bootcamp designed to help career-changers break into high-paying tech roles. The platform blends game mechanics, dual mentorship, and project-based challenges to create a learning experience that is immersive, motivating, and outcomes-driven. TeQius focuses on active learning, real-world application, and continuous feedback. It combines three core pillars into one cohesive learning system: 1. Gamified Learning Experience 2. Dual Mentorship Model 3. Project-Based Challenges
15
1.4K
Cover image for NLP Email Associations with HubSpot Deals
NLP Email Associations with HubSpot Deals
0
3
Cover image for A modern mobile app wellness
A modern mobile app wellness experience. Clean, calming interface. Emotion-led, mindful visuals. Intelligent fasting guidance. Effortless, intuitive flow. The app brings together fasting, nutrition, and mindfulness in one seamless experience. It blends soothing design, gentle interactions, and a refined aesthetic to create something that feels grounding, supportive, and easy to return to every day. Great wellness design doesn’t just guide you, it nurtures how you feel.
4
403
Cover image for Phasio - Guided companion app for GLP-1 journey
Phasio - Guided companion app for GLP-1 journey
2
21
Pytest(1)
Eugene Mawuli 's avatar
Eugene Mawuli
Accra, Ghana
AI Engineer building production-grade agents and automation
New to Contra
AI Engineer building production-grade agents and automation
Cover image for Band agents using the AnthropicAdapter.
Band agents using the AnthropicAdapter. It receives the complete governed pipeline output and produces the final loan decision with a full governance summary
0
25
Cover image for Define what your AI must
Define what your AI must always do and never do. PolicyThread watches every live interaction and tells you when it breaks the rules. Organizations deploying AI in production have rules. Legal rules. Brand rules. Safety rules. Compliance rules. Right now enforcing those rules is manual and reactive, someone writes a system prompt, hopes for the best, and finds out the AI broke the rules when a customer complains or a regulator asks. There is no always-on layer watching every AI interaction against a defined policy. No alert when the AI violates a rule. No audit trail proving the organization tried. PolicyThread fixes this.
0
25
Cover image for A website design and build.
A website design and build.
0
26
Cover image for A website for  a decision-synthesis
A website for  a decision-synthesis advisory for climate, infrastructure, and sustainability leaders.
0
21
Pytest(2)
Ben Pham's avatar
Ben Pham
Orange, USA
Fullstack Dev: Expert in Ruby on Rails & Laravel
Fullstack Dev: Expert in Ruby on Rails & Laravel
Cover image for Ann Arbor Accessibility Tool
Ann Arbor Accessibility Tool
0
7
Cover image for Marketing Tag Managers Setup
Marketing Tag Managers Setup
0
6
Cover image for Style Refresh / Redesign
Style Refresh / Redesign
0
6
Cover image for FormulaFolios Data Processing
FormulaFolios Data Processing
0
6
Pytest(1)
Molka B's avatar
Molka B
Tunis, Tunisia
AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
New to Contra
AI & QA Automation Engineer | AI Bias Audit& Web/App Testing
Cover image for Enterprise SaaS QA Automation: AI-Powered
Enterprise SaaS QA Automation: AI-Powered Testing & CI/CD My role : Senior QA Automation Engineer Project description: Architected and implemented comprehensive test automation framework for enterprise SaaS platform, achieving 92% API and 85% UI test coverage. Developed 230+ automated tests using Pytest and Selenium with Page Object Model design pattern. Integrated AI-powered test prioritization and flaky test detection achieving 95% accuracy. Implemented GitHub Actions CI/CD pipeline reducing regression testing from 2 days to 6 hours (75% reduction). Enabled daily releases while improving production defect detection by 82%. Technologies: Python, Pytest, Selenium WebDriver, GitHub Actions, Docker, Scikit-learn
2
54
Cover image for Modern To-Do List API with
Modern To-Do List API with FastAPI & PostgreSQL My role : Backend Developer / API Engineer Project description : Developed a robust RESTful API for managing tasks, featuring full CRUD operations, data validation with Pydantic, and PostgreSQL integration using SQLAlchemy ORM. Delivered automated test coverage with Pytest, along with Swagger/OpenAPI interactive documentation to ensure quality and maintainability. The project improved task management efficiency and offers a scalable foundation for further enhancements such as authentication and deployment pipelines.
2
59
Cover image for AI Bias Detection & Mitigation
AI Bias Detection & Mitigation Tool for Hiring Models My role: AI/ML Engineer & Fairness Auditor Project description: AI Bias Detection and Mitigation Framework for Recruitment Systems. Built a complete, production-ready tool that: Detects gender, race, and age bias in hiring ML models Uses industry-standard fairness metrics (Disparate Impact, Demographic Parity, Equal Opportunity) Applies Reweighing mitigation (AIF360) → improves fairness while keeping accuracy loss < 2% Includes interactive Gradio demo for live testing Full business impact section + compliance notes (EEOC 4/5th rule, GDPR, EU AI Act)
1
107
Cover image for E-commerce Automation Framework My role :
E-commerce Automation Framework My role : Test Automation Engineer (UI & API) Project description: Designed and developed a comprehensive automated testing framework for an e-commerce website. The framework covers UI automation using Selenium WebDriver and Pytest, alongside robust API testing to ensure backend reliability. It enables fast, repeatable test execution with detailed reporting to quickly identify issues.
2
84
Pytest(2)
Guy G's avatar
Guy G
Oregon, USA
40+ years programming experience including recent AI and ML.
7
Followers
40+ years programming experience including recent AI and ML.
Cover image for Lots of projects in the works! Too many really. Opus 4.5 has...
Lots of projects in the works! Too many really. Opus 4.5 has jammed my design episodes into hyper mode. I'm glad I heard Andrew Ng talk about the exhaustion after a day of working with agentic code helpers. That showed up months ago and I still didn't recognize. Now, having to hold so much in my mind at once while it is also growing at a recognizable pace is noticeably stressful. Here is my latest build, a useful agency for questions at high accuracy with 9 different agents available to work in tandem. Special thanks to my friend Enigma Specter who provided the original backend mechanisms. I salvaged his design with a nice web UI and added a web Researcher agent: https://guyzer.pythonanywhere.com/mrce/ You will need to register but it's just an email username and password, no verification loop yet. And you'll need an API key.
1
40
Cover image for Cyclical Adversarial Stepwise Improvement CASI: Live Demo We...
Cyclical Adversarial Stepwise Improvement CASI: Live Demo We talk frequently about AI self-correction but few projects provide a robust architectural loop for it. CASI formalizes the process of non-linear refinement: The Generator proposes a solution or concept. The Critic applies structural pressure and targeted feedback. The system cycles automatically until Structural Coherence is reached. You can now test the CASI engine live and see how an autonomous refinement process delivers structurally superior output: Try the CASI web app here: https://guyzer.pythonanywhere.com/casi/
14
110
Cover image for Further investigations of the Biology Latent Space.
Further investigations of the Biology Latent Space.
1
38
Cover image for Let's visualize some more biology. Audio by Sacrificial Panc...
Let's visualize some more biology. Audio by Sacrificial Pancakes and Korean tree frogs.
1
48
Pytest(1)
Jose Acosta's avatar
Jose Acosta
Naaldwijk, Netherlands
Data Engineer builds reliable ETL & Cloud Data Pipelines.
Data Engineer builds reliable ETL & Cloud Data Pipelines.
Cover image for Financial Data Pipeline Development
Financial Data Pipeline Development
0
4
Cover image for Algorithmic Trading Bot Development
Algorithmic Trading Bot Development
0
4
Cover image for Mean Reversion Trading Strategy Bot Development
Mean Reversion Trading Strategy Bot Development
0
4
Cover image for SMA Crossover Strategy for E-mini S&P 500
SMA Crossover Strategy for E-mini S&P 500
0
4
Pytest(1)
Imaad Mahmood's avatar
Imaad Mahmood
Bahawalpur, Pakistan
Data Scientist | Data Analyst | Machine Learning
Data Scientist | Data Analyst | Machine Learning
Cover image for Enterprise RAG Evaluation Pipeline Project
Enterprise RAG Evaluation Pipeline Project
1
5
Cover image for How do you turn $15.9K
How do you turn $15.9K in ad spend into $49.2K in revenue? You stop guessing and start tracking Running paid social campaigns without granular visibility is essentially burning budget. For this Q1 2025 performance tracker, the goal wasn't just to make pretty charts—it was to build an automated, actionable intelligence tool that immediately identifies where marketing dollars are generating the highest return. The Data-Driven Insights: By analyzing over 2.7 million impressions and 1.8 million unique reach, this dashboard uncovered the exact levers driving profitability: 🚀 The ROI Engine: The overarching strategy yielded a highly profitable 3.1 Return on Ad Spend (ROAS). 🏆 Winning Formats: Carousel ads heavily dominated the space, capturing 21.9% of the share, proving that interactive, multi-image formats win the algorithm. 📅 Timing is Everything: Engagement rates spiked massively on Saturdays, reaching near 20%, indicating the optimal window for scaling ad spend. 🎯 Campaign Economics: While "Seasonal Promos" drove the highest total top-line revenue , the "Community" campaigns actually delivered the most efficient ROAS.
1
57
Cover image for Built a full YouTube analytics
Built a full YouTube analytics dashboard in Google Looker Studio using real channel data from Dark Psychology Archive. The dashboard tracks 6 KPIs — Views (18,582), Watch Time (51.2 hrs), CTR (4.32%), Likes (1,302), Subscribers Gained (105), and Engagement Rate (10.31%). A monthly trend line reveals the growth curve peaking at 4,266 views in November. Content-type breakdown shows Shorts drive 71% of total views. Top performer: Hoovering at 1,232 views with 8.2% CTR. Built to help content creators make data-driven decisions on what to post, when, and in what format — without exporting CSVs manually.
3
141
Cover image for HR teams spend hours every
HR teams spend hours every week pulling salary, performance, and turnover data from separate spreadsheets. This dashboard puts all of it in one place — live. Built this HR Analytics Dashboard in Google Looker Studio with 5 KPI cards, department salary breakdown, geo distribution map, and a ranked leaderboard sorted by total compensation. Engineering leads at $1.05M total salary. Finance close behind. Decision-makers can see that in 3 seconds instead of 3 hours.
1
150
Pytest(1)