Senior Python Developer - Team Lead at Advanced Soft LLC

Led the design and implementation of a microservice based architecture using FastAPI, reducing response times by 45% across critical backend services. Transformed raw data into actionable insights by establishing data pipelines integrating AI/ML models with PyTorch, resulting in a 30% reduction in data processing time. Pioneered resilient RESTful APIs, delivering a consistent 99.9% uptime while managing peak loads, facilitating a 30% faster feature release rate. Built a custom authentication system using OAuth2 and JWT tokens, integrating with external identity providers like Auth0 and Okta. Engineered infrastructure-as-code templates via Terraform and AWS CloudFormation, creating consistent deployments across staging and production, which also enabled a 25% increase in deployment frequency. Directed the migration of legacy applications to a containerized environment using Docker and Kubernetes EKS, cutting infrastructure costs by 30% through efficient resource utilization. Developed reusable React components with TypeScript and Tailwind CSS, contributing to a component library that reduced front-end development time by 15%. Orchestrated asynchronous task processing leveraging Celery and Redis, diminishing non-critical computation times by 40% and improving frontend responsiveness by 35% across the platform. Detected and triaged 7 critical system vulnerabilities using Prometheus and Grafana dashboards, collaborating with crossfunctional teams to remediate issues before impacting production. Transformed the model deployment process by implementing AWS Lambda functions and SageMaker, driving a 1% increase in overall model accuracy through faster iteration cycles and model tuning. Led and mentored a team of 4 backend engineers; conducted code reviews, managed sprint planning, and established best practices in Git branching strategies. Documented APIs and internal systems using Swagger/OpenAPI and MkDocs, improving onboarding speed for new hires by 40%.

Senior Python Developer at Code Power

Built and maintained robust Django REST APIs for millions of monthly data points. Refactored legacy data systems to event-driven architectures using RabbitMQ, increasing data throughput and reliability. Directed containerization and deployment of microservices on AWS ECS, improving resource utilization and enabling scalable processing. Developed AI-driven data cleaning and classification pipelines using Pandas, Scikit-learn, and NumPy, boosting data quality by 70%. Orchestrated production ML models and collaborated with the AI team to push features into production within four weeks. Implemented OWASP-compliant security measures and redesigned DB schemas to improve latency and data integrity.

Software Developer at StartupSoft

- Spearheaded migration of legacy API endpoints to a Django REST Framework, slashing average response time by 20% and improving application performance on 3 client-facing applications. - Delivered enhancement of application capabilities by incorporating 3 external APIs, expanding functionality and achieved 99.99% uptime. - Standardized data ingestion methods, resulting in a consistent 98% data accuracy rate across all AI/ML projects, and also contributed to feature release. - Automated testing processes using Pytest and Jenkins CI, improved code quality scores by 10%, demonstrating commitment to software excellence. - Transformed the deployment process with AWS and Docker, boosting application performance by 25% and implemented robust monitoring, improving issue detection by 60%.