Freelancers using Python in Gatineau
Freelancers using Python in Gatineau
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Amin Dhouib
max
Ottawa, Canada
Full Stack Mobile & Web | UI/UX Product Engineer | Devops
$25k+
Earned
7x
Hired
5.0
Rating
141
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Full Stack Mobile & Web | UI/UX Product Engineer | Devops
3
Reverse Engineering, Burpsuite & Wireshark (Algo Trading Bot)
3
140
3
Linkedin Auto Apply Jobs Automation
3
72
5
Next.JS + Figma + Python + Selenium&TOR + Browser Ext. (Shorty)
5
179
2
Caramel - Open Source Alternative to Honey (Coupon Finder)
2
83
Python
(3)
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Faadil Boussari
pro
Gatineau, Canada
Product Designer for AI & Digital Products
18
Followers
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Product Designer for AI & Digital Products
0
Meridian Physio: Competence Before Commitment
0
8
0
Autonomous AI Career Intelligence Platform Overview I developed an autonomous AI-powered platform designed to automate the job discovery and evaluation process. The system continuously analyzes job opportunities against a candidate profile and delivers ranked recommendations directly through Telegram. Rather than relying on manual job searches, the platform transforms fragmented opportunities into actionable career intelligence. ⸻ The Challenge Job seekers often spend significant time reviewing opportunities that are poorly aligned with their qualifications, experience, or career goals. The objective was to create a system capable of: Monitoring opportunities continuously Evaluating candidate-job fit automatically Ranking opportunities by relevance Delivering personalized recommendations in real time ⸻ Solution Intelligence Layer Developed a scoring engine that evaluates: Technical skills alignment Professional experience relevance Industry compatibility Education requirements Soft skills fit Each opportunity receives a weighted score and detailed evaluation breakdown. ⸻ Recommendation Layer Beyond numerical scoring, the platform generates contextual insights explaining: Why a role is a strong match Which qualifications are missing Potential competitive advantages Areas for improvement This transforms raw job data into actionable decision support. ⸻ Infrastructure The platform operates as an autonomous workflow deployed on Render. Key capabilities include: Automated opportunity monitoring Data processing pipelines AI-driven evaluation Telegram notification delivery Continuous 24/7 execution ⸻ Operational Workflow Candidate submits CV System extracts and analyzes profile information Opportunities are collected and processed Matching engine evaluates compatibility Ranked recommendations are delivered automatically AI-generated insights explain each result ⸻ Key Features ✅ Automated CV Analysis ✅ AI-Powered Matching Engine ✅ Explainable Scoring System ✅ Real-Time Job Monitoring ✅ Telegram-Based Delivery ✅ Continuous Cloud Deployment ⸻ Outcome This project demonstrates my ability to design and deploy production-ready AI workflows that bridge the gap between complex technical systems and real-world efficiency. The result is an autonomous platform that reduces manual effort while improving the quality and relevance of career opportunities presented to the user.
0
80
0
The agent saw the truth. Then I changed the world. Just published THE WORLD CHANGED, an interactive AI agent lab where you change reality after an agent has observed it, then see whether it notices before it acts. The core interaction is simple: LOOK → PULL THE GAP → CHANGE THE WORLD → ACT From there it expands into multiple worlds, a timed challenge, replayable receipts, checked vs. unchecked outcomes, and a genuine recorded Claude Opus 5.5 run. I wanted the idea to feel physical rather than technical, so the whole visual system is built from passes, tickets, stamps, paper and print misregistration. Would love feedback on the interaction and art direction. 🔗 https://contra.com/p/FXvqOAEA-the-world-changed-an-interactive-ai-agent-lab
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5
3
Contra Community Post Day 17/30: COMMON ROOM What if a library card could reveal belonging instead of simply proving access? I built COMMON ROOM, a speculative membership system for the fictional North Quarter Public Library. Instead of asking members to choose an identity or complete a personality quiz, the system lets their actual behavior inside the library leave the evidence. Read in the Stacks → leave a margin. Make in the Workshop → leave a registration mark. Follow a question through the Index → leave a reference path. Explore the Quarter → leave a civic trace. Those traces gradually build a unique Member Record. The card remembers in layers. Its physical Accession Aperture later becomes a lens into hidden library memory, and completed cards can optionally become part of a Living Collection that begins to reveal the shape of the neighborhood itself. The project eventually became a system about: BEHAVIOR → EVIDENCE → OBJECT → MEMORY → COMMUNITY And the line that defined the whole thing: You don’t receive a card. You accumulate one. I also built the launch film around the same visual logic instead of doing a traditional product walkthrough using the card’s traces, layers and aperture as the motion language. Would love feedback on one thing in particular: Does the relationship between behavior, the physical card, and belonging read clearly without needing the concept explained first? Day 17 of my 30 Days of Real Business Problems challenge. #ProductDesign #InteractionDesign #CreativeDevelopment #DesignEngineering #MotionDesign #CreativeCoding #ThreeJS #Remotion
3
3
66
Python
(2)
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Jonathan Ojangole
Ottawa, Canada
AI/ML | Backend Software Engineer
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AI/ML | Backend Software Engineer
0
AI-Driven Ad Compliance System
0
35
0
Order Management System
0
8
0
Employee Conference Planner App
0
8
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Python
(1)
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Michael Edou
Gatineau, Canada
Professional software engineer help a business scale 73% up
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Professional software engineer help a business scale 73% up
1
Built a real-time fraud detection engine at Meridian FinTech (Python, Scikit-learn, Kafka) that reduced fraudulent transactions by 43%, saving $1.2M in year one. Also led a zero-downtime migration of core banking APIs to AWS Lambda + API Gateway, cutting server costs by 55% and p99 latency from 820ms to 94ms. #FinTech #Python #AWS #MachineLearning
1
66
1
Built NeuraChat — a multi-tenant AI conversational platform with context-aware memory, RAG pipelines, and MCP tool extensibility. Powers 50K+ simultaneous users using Python, LangChain, GPT-4, FastAPI, React, Redis, and AWS. #AI #LLM #RAG #Python #FastAPI
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81
0
Heavenkeys Ltd. — Vetted Partner Network & Delivery Portfolio We design high-level technical strategies and assemble elite, vetted delivery teams to solve complex challenges at the intersection of technology, behavioral science, and regulated systems. 16 vetted delivery partners | 5,000+ team members | 400+ projects delivered | 30+ industries Enterprise clients: AT&T, Microsoft, Google, BMW, Verizon, Shell, Honeywell, Toyota, BlaBlaCar, HubSpot, KFC, Burger King, SAP, Rolls-Royce, Atlassian, Societe Generale & more. business@heavenkeys.ca | 819-510-0525 | BN: 752441949
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34
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At Shopify, I led development of an AI-powered merchant analytics dashboard using LangChain + Claude API, enabling natural language queries over $2B+ in annual transaction data. Architected GraphQL federation across 14 microservices, cutting frontend load from 3.1s to 740ms. #Shopify #GraphQL #AI #TypeScript
1
69
Python
(2)
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Hakan Okay
Ottawa, Canada
Results-Driven Software Engineer 💻
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Results-Driven Software Engineer 💻
0
Bruin - Unified Analytics Platform
0
5
0
Musme Library
0
4
0
Quill - Chat with your PDFs
0
5
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Python
(1)
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Rodney D'Souza
Ottawa, Canada
Experienced AI Developer
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Experienced AI Developer
0
Data Science Technical Sales
0
10
0
Data Plumbing Optimisation
0
5
0
Face Detector App Recommendation
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3
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(3)
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