Leading Python backend engineering for education-platform services, modular API architecture, event-driven workflows, third-party financial integrations, and production reliability.

• Led a team of 3 Python engineers across backend service design, delivery ownership, code quality, and sprint execution for multiple EdTech product modules.
• Transitioned key Django-based backend components toward modular FastAPI microservices, improving maintainability and reducing deployment dependencies by nearly 35%.
• Designed scalable REST APIs with Python, Django REST Framework, FastAPI, PostgreSQL, Redis, and Celery for learner-facing education workflows.
• Implemented event-driven workflows with Google Pub/Sub, RabbitMQ, Celery, and the outbox pattern, reducing cross-service processing delays by up to 40%.
• Integrated billing, payment, and financial systems including Dash, Visa, and QuickBooks Online for invoicing, reward disbursement, and reconciliation workflows.
• Optimized PostgreSQL queries, indexes, connection pooling, and background jobs, reducing API response times by approximately 30%.
• Improved production reliability through bottleneck debugging, caching strategies, idempotency checks, monitoring, retry workflows, and failure handling.

Delivered backend systems for healthcare, airline refund management, ERP, and blockchain marketplace platforms with secure APIs, cloud deployment, and production support.

• Developed backend systems for HealthPro ERP, Kenya's Tiberbu national healthcare initiative, Caribbean Airlines Refund Management System, and a Solana blockchain marketplace.
• Engineered healthcare modules with Python, Django REST Framework, FastAPI, PostgreSQL, Redis, and Celery across medical inventory, EMR, and supply-chain workflows.
• Integrated healthcare APIs, ERP systems, medical supply-chain systems, Solana RPCs, and payment gateways to reduce manual operational effort across client platforms.
• Managed GCP and AWS deployments including Cloud Run, VPCs, schedulers, and CI/CD pipelines, improving deployment efficiency by nearly 30%.
• Spearheaded the Caribbean Airlines Refund Management System from the ground up using Python and Django REST Framework.
• Architected a Solana blockchain marketplace using FastAPI, smart-contract integrations, and blockchain transaction workflows.
• Improved PostgreSQL schemas, query plans, and indexing strategies, reducing slow-query execution by up to 35% in high-transaction backend modules.
• Resolved production issues through profiling, debugging, caching, and refactoring, improving recurring response-time problems by approximately 25-30%.

Built ETL pipelines, internal APIs, computer-vision models, and analytics workflows for marketplace data and smart-manufacturing use cases.

• Built ETL pipelines with AWS Lambda, Python, SQL, Pandas, and NumPy to transform Walmart, Instacart, and SQL Server data into Google BigQuery.
• Optimized SQL queries and transformation workflows, improving pipeline execution speed by up to 30% and analytics accuracy for reporting teams.
• Developed RESTful APIs with Django REST Framework for internal tools, client applications, and structured backend data access.
• Implemented YOLO-based computer-vision models for industrial fabric fault detection and automated quality-inspection workflows.
• Built regression and LSTM models with Keras, Pandas, NumPy, and Matplotlib for worker-efficiency prediction and workforce insights.
• Automated operational workflows and debugging tools, reducing repetitive manual tasks and improving engineering productivity.