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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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.
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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
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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.
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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.
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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
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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
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Key Features
✅ Automated CV Analysis
✅ AI-Powered Matching Engine
✅ Explainable Scoring System
✅ Real-Time Job Monitoring
✅ Telegram-Based Delivery
✅ Continuous Cloud Deployment
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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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