Senior Full Stack AI/ML Engineer | Python, Data Analytics & Automation

• Led full stack development of a sports analytics and betting platform, owning the web app, the mobile apps and the

backend from architecture to production.

• Built React/Next.js web apps with 10+ interactive dashboards for live odds, predictions, backtesting and user

analytics.

• Developed cross-platform Flutter apps for iOS and Android with real-time odds, push alerts and personalized insights.

• Designed Node.js/Express and Python REST APIs serving data from 15+ sources and 2M+ historical records.

• Integrated 12+ ML prediction models into the web and mobile apps, and improved API and database performance by

45%.

• Automated 25+ data pipelines and set up CI/CD and Docker-based deployments, reducing manual work by 70%.

• Built full stack financial analytics products using React for web, React Native and Flutter for mobile, and

Node.js/Express with Python for the backend.

• Delivered web and mobile dashboards tracking 40+ KPIs for transactions, forecasting and risk.

• Developed backend services processing 1.5M+ transactions monthly, and integrated 10+ third-party financial and

payment APIs.

• Built mobile features including secure login, real-time alerts and reports on the go.

• Embedded 8+ forecasting and anomaly-detection models into the product through APIs.

• Automated 30+ reports, cutting reporting time by 65%.

• Developed web applications with React and Node.js/Express for financial data, market research and revenue

tracking.

• Built React Native mobile apps that give users fast access to financial data and reports.

• Designed REST APIs and backend services ingesting 500K+ records daily from 12+ external feeds.

• Designed and optimized PostgreSQL databases, cutting query times by 40%.

• Improved data accuracy to 99.5% with validation and duplicate detection, and set up monitoring for reliable uptime.