Freelancers using Python in Ottawa
Freelancers using Python in Ottawa
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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
122
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Full Stack Mobile & Web | UI/UX Product Engineer | Devops
3
Reverse Engineering, Burpsuite & Wireshark (Algo Trading Bot)
3
130
3
Linkedin Auto Apply Jobs Automation
3
65
4
Next.JS + Figma + Python + Selenium&TOR + Browser Ext. (Shorty)
4
165
1
Caramel - Open Source Alternative to Honey (Coupon Finder)
1
76
Python
(3)
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Faadil Boussari
pro
Gatineau, Canada
Product Designer · Framer · Brand Systems · Prototypes
15
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Product Designer · Framer · Brand Systems · Prototypes
0
Meridian Physio: Competence Before Commitment
0
2
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.
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76
3
INNER CALDERA: Visual Exploration This experiment started with a familiar visual trope: a landscape reflected inside an eye. Instead of pushing it toward fire, spectacle, or a “lava iris,” I wanted to move in the opposite direction. The idea became an ancient dormant caldera compressed into a living human iris. The pupil remains completely black, almost eclipse-like. Around it, cooled obsidian forms irregular ridges, eroded peaks, mineral fractures, and barely visible residual heat. Natural iris fibers are still present between the geological structures, while moisture and tear film keep the eye unmistakably alive. The main challenge was balancing two readings at once: a real human eye and a geological landscape that feels millions of years old. I explored multiple variations in topology, material behavior, depth, and light before selecting the versions where anatomy and geology felt like one continuous structure rather than a landscape pasted into an iris. AI-assisted image exploration, iterative art direction, and visual selection. #ArtDirection #DigitalArt #VisualExperiment
3
32
1
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:
1
41
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
11
0
Order Management System
0
6
0
Employee Conference Planner App
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8
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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
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
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56
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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73
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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29
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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
63
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
9
0
Data Plumbing Optimisation
0
5
0
Face Detector App Recommendation
0
3
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