Projects using Python in Quebec
Projects using Python in Quebec
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Meng Xia
Decodeswitch - Codeswitching language identification
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44
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Chandan Roy
ANN Model Development for High-Frequency Structure Design
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15
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Faadil Boussari
pro
Meridian Physio: Competence Before Commitment
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Heng Wang
ReadPal - Unlock your reading potential and save time
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7
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Michael Edou
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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55
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Jonathan KPAKPO
CI/CD Pipeline for an Online Learning Platform
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2
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Julian Webster
Game Development
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23
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Ahmed Serag
Customer lifetime value modeling
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30
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Chandan Roy
Hybrid Optimization Algorithm for Tunable RF/Microwave Filters
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8
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Faadil Boussari
pro
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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Michael Edou
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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72
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Jonathan KPAKPO
End-to-End DevOps: Customer Accounts API
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2
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Ahmed Serag
Marketing Strategy for Luxury Retailer
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14
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Chandan Roy
Homotopy Optimization of D-band Cruciform Coupler
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10
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Jonathan KPAKPO
REST API Microservice with TDD & BDD Testing
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4
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Ahmed Serag
Customer Base Audit for B2C Company
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30
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