Freelancers using Python in Quebec
Freelancers using Python in Quebec
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Chandan Roy
Montreal, Canada
RF Engineer blending AI expertise with hardware design
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RF Engineer blending AI expertise with hardware design
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ANN Model Development for High-Frequency Structure Design
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15
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Hybrid Optimization Algorithm for Tunable RF/Microwave Filters
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8
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Homotopy Optimization of D-band Cruciform Coupler
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10
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Development of SOT Numerical De-embedding Technique
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8
Python
(3)
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Jonathan KPAKPO
Victoriaville, Canada
DevOps Engineer | Python & Cloud Infrastructure
New to Contra
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DevOps Engineer | Python & Cloud Infrastructure
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CI/CD Pipeline for an Online Learning Platform
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2
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End-to-End DevOps: Customer Accounts API
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2
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REST API Microservice with TDD & BDD Testing
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Ferme OS is a responsive farm operations dashboard built with HTML, CSS, and JavaScript. The app helps small vegetable farm teams manage daily field observations, farm tasks, harvest quality control, and team updates in one simple interface. This project combines my experience in agriculture with front-end development and product thinking. I built it as a practical tool to turn real field notes into clear actions and an organized dashboard. https://jonathan777888.github.io/Ferme-Future/ #FarmTech #AgTech #DashboardDesign #FrontendDevelopment #JavaScript #ProductDesign #Agriculture #PortfolioProject
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59
Python
(3)
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Meng Xia
Montreal, Canada
Tech expert: Fullstack, DevOps, ML
$50k+
Earned
1x
Hired
5
Followers
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Tech expert: Fullstack, DevOps, ML
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Decodeswitch - Codeswitching language identification
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44
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Billing and Payment system for a unicorn startup
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44
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Statically typed PostgreSQL queries in TypeScript
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60
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Python
(1)
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Faadil Boussari
pro
Gatineau, Canada
Product Designer · Framer · Brand Systems · Prototypes
15
Followers
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Product Designer · Framer · Brand Systems · Prototypes
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Meridian Physio: Competence Before Commitment
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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.
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Day 15: PROOF IS BROKEN In 2007, Blendtec’s Will It Blend? turned extreme product demonstrations into proof. The formula was simple: Watch the video. Believe the product. But today, spectacular footage can be generated, enhanced, or fabricated. A visually impressive demonstration no longer guarantees credibility. So I explored a new business problem: How can a brand still prove product performance when video alone is no longer enough? I reimagined the campaign around a new question: WOULD YOU BELIEVE IT? The new concept introduces The Proof Room—a controlled testing environment where the object, process, camera angles, and physical result are all visibly documented. The campaign evolves from: Will it blend? to: Can the demonstration be verified? For this project, I created: an original-versus-reimagined campaign film; a complete storyboard; AI-generated product and motion sequences; a verification-based visual system; a campaign poster and thumbnail; sound design and final editing. The final idea:
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REHEARSAL: The Room Has No Chalk Some conversations stay with us for days before they ever happen. We replay the possible replies. We soften what we need to say. We search for the perfect sentence until the moment passes. As an introvert, I know that feeling well. So I designed REHEARSAL, a preparation room for difficult real-world conversations. Most AI tools try to write the sentence for you. REHEARSAL refuses. You write the reply you are afraid to hear. You write your first, instinctive response. You identify the reflex behind it. The room contributes one structural constraint not a replacement sentence. Then you write again, entirely in your own words, and say it out loud. The central rule is simple: You write both sides. This room never writes for you. The visual world is built around the idea of The Black Floor: one person draws both sides of the conversation, while the room is only allowed to mark a limit. No chatbot. No generated dialogue. No emotional score. No simulated person on the other side. Because the real conversation does not happen inside the product. Practice here. Speak there. Designed and iterated in Flowstep, then developed into a working React experience. Flowstep: https://app.flowstep.ai/file?activeFileId=768ea904-4954-4f20-a863-8e68ccec1166 Live experience: https://rehearsal-psi.vercel.app #Flowstep #ProductDesign #UXDesign #InteractionDesign
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116
Python
(2)
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Heng Wang
Montreal, Canada
Fullstack Engineer
$1k+
Earned
1x
Hired
3
Followers
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Fullstack Engineer
0
ReadPal - Unlock your reading potential and save time
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7
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Pop Dictionary - The Open Online Slang Encyclopedia
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14
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My Diary - My Memory
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12
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Python
(1)
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Julian Webster
Quebec City, Canada
Blockchain Dev & Smart Contract Engineer Expert
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Blockchain Dev & Smart Contract Engineer Expert
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Game Development
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23
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Room-Res.com - Wholesale Hotel Bookings for Travel Agents
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20
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Lifestyle and Travel Concierge for the World’s Elite
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17
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Python
(1)
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Michael Edou
Gatineau, Canada
Professional software engineer help a business scale 73% up
New to Contra
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Professional software engineer help a business scale 73% up
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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
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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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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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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
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Python
(2)
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Ahmed Serag
Montreal, Canada
I use data to tell actionable stories
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I use data to tell actionable stories
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Customer lifetime value modeling
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30
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Customer Base Audit for B2C Company
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30
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Marketing Strategy for Luxury Retailer
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14
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Market research for NGOs
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15
Python
(3)
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