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Senior Python Developer

з 10.2024 по нині (1 рік 10 місяців)

EduBridge LMS (EdTech)
Develop a scalable LMS platform for 50,000+ concurrent users enabling universities and
corporate trainers to deliver interactive courses with real-time progress tracking and AI-powered
personalized learning paths.
Architected and led development of microservices-based LMS platform serving 50K+
concurrent users with 99.95% uptime
Engineered complex SQL queries optimizing course analytics dashboard response time from 8
seconds to 200ms
Implemented AI-powered personalized learning paths using OpenAI GPT-4, increasing student
engagement by 37%
Designed event-driven architecture using Kafka for real-time user activity tracking and
progress updates
Built scalable file processing pipeline for video lectures using AWS Lambda and S3 with
FFmpeg integration
Containerized application stack with Docker and orchestrated deployment using Kubernetes
(EKS)
Implemented WebSocket-based real-time notifications and live quiz features using Django
Channels
Reduced deployment time from 45 minutes to 12 minutes through CI/CD pipeline optimization
Led 6-member team through 3 major releases, including automated testing strategy
increasing code coverage to 92%
Established monitoring with Prometheus/Grafana enabling proactive issue detection

CarbonTrack (GreenTech)
Build an enterprise SaaS platform helping companies track, analyze, and reduce their carbon
emissions with automated data ingestion from multiple sources and AI-driven reduction
recommendations.
Architected and built carbon footprint monitoring platform processing 500+ data sources
with automated ETL pipelines
Developed FastAPI microservices serving 200+ enterprise clients with average response time
<100ms
Engineered predictive models using TensorFlow to forecast carbon emissions trends with 94%
accuracy
Implemented serverless data ingestion pipelines using AWS Lambda and EventBridge,
reducing infrastructure costs by 40%
Designed MongoDB schemas for flexible emissions data storage across 15+ industry standards
Created real-time dashboards with WebSocket integration for live environmental metric
monitoring
Integrated automated reporting system generating compliance reports for ESG standards
(GRI, SASB)
Built caching layer with Redis improving dashboard load times by 80%
Implemented comprehensive test suite using pytest achieving 88% coverage

Python Tech Lead

з 01.2022 по 09.2024 (2 роки 9 місяців)
Brainhub, Дистанційно (IT)

FinVault (FinTech)
Build secure, high-performance backend for a digital banking platform processing 1M+ daily
transactions with real-time fraud detection and investment portfolio optimization features.
Led backend team of 8 engineers developing digital banking platform processing $500M+ in
monthly transactions
Architected event-driven fraud detection system using Kafka streams processing 100K+
events/sec
Implemented real-time transaction monitoring reducing false positive fraud alerts by 42%
Designed database sharding strategy handling 10M+ daily transactions with sub-50ms query
performance
Built portfolio optimization engine using Python scientific stack (NumPy, Pandas) with Monte
Carlo simulations
Achieved PCI-DSS compliance through secure payment gateway integration with tokenization
Engineered WebSocket-based real-time balance updates and notification system
Reduced API response times by 65% through query optimization and strategic caching
Implemented comprehensive logging and monitoring with ELK stack for audit trail compliance
Mentored 3 junior developers, conducting weekly code reviews and pair programming
sessions
Established TDD practices resulting in 90% test coverage across microservices

MediConnect (Healthcare)
Create HIPAA-compliant telemedicine platform connecting 10,000+ healthcare providers with
2M+ patients for virtual consultations, EHR integration, and AI-assisted diagnosis support.
Architected secure, HIPAA-compliant telemedicine backend serving 2M+ patients and 10K+
healthcare providers
Implemented end-to-end encryption for patient data using AWS KMS and envelope
encryption patterns
Developed AI-powered clinical note generator using Claude API, reducing documentation time
by 60% for physicians
Engineered complex SQL queries for patient record retrieval across 50+ medical data
categories
Built real-time video consultation infrastructure integrating with WebRTC and AWS Chime
Developed automated patient reminder system using Celery reducing no-show rates by 28%
Created data anonymization pipeline for research datasets enabling medical studies
Led migration from monolithic to microservices architecture improving deployment agility
Achieved 99.99% uptime through multi-AZ deployment and automated failover strategies

Python Tech Lead

з 01.2021 по 12.2022 (2 роки)
Sombra, Дистанційно (IT)

SmartDine (SaaS Hospitality)
Develop AI-driven restaurant management platform for 5,000+ restaurants enabling smart
inventory management, predictive ordering, and unified POS integration with real-time analytics.
Developed end-to-end restaurant management platform for 5,000+ locations across 15
countries
Engineered predictive inventory system using Pandas and NumPy reducing food waste by 35%
Built real-time POS integration framework supporting 20+ POS systems via REST APIs
Designed multi-tenant database architecture with row-level security enabling data isolation
Created automated reporting engine generating operational analytics dashboards
Implemented WebSocket-based order tracking system with 99.9% reliability
Built dynamic pricing algorithm optimizing menu profitability during peak hours
Developed restaurant discovery and booking API handling 1M+ monthly requests
Integrated with major delivery platforms (UberEats, Deliveroo, DoorDash) via unified API
Optimized PostgreSQL queries achieving 70% improvement in analytical report generation
Implemented CI/CD pipeline reducing deployment time from 30 minutes to 8 minutes
Created comprehensive API documentation using OpenAPI/Swagger

TrendInsight (SaaS Market Research)
Build market intelligence platform aggregating consumer data from 10,000+ online sources to
provide brands with real-time trend analysis, competitive intelligence, and consumer sentiment
insights.
Architected web scraping infrastructure collecting 400K+ data points daily from 10K+ ecommerce websites
Engineered ETL pipeline processing 5TB of unstructured data monthly with Pandas
Built sentiment analysis engine achieving 89% accuracy on consumer reviews using NLP
techniques
Designed Elasticsearch cluster for real-time search across 50M+ products and reviews
Created trend forecasting models identifying emerging market trends 2 weeks ahead of
competitors
Developed competitor intelligence dashboard tracking pricing strategies across 500+ brands
Implemented automated alerting system for market shifts and competitor activities
Optimized data ingestion pipeline reducing processing time by 60%
Built REST API serving analytics to 200+ enterprise clients with sub-200ms response time
Integrated with Google Analytics and social media APIs for comprehensive consumer insights
Led technical interviews and mentored 2 new team members

Знання і навички

• Комунікабельність
• Python
• Git
• SQL
• GitHub
• PostgreSQL
• MySQL
• Django
• FastAPI