Akhilesh Rai

Empowered three scrum teams to build an IO platform using micro front-end architecture, increasing delivery velocity by 20% and boosting product revenue by 30%. Designed a data pipeline to collect and process user behavior data, addressing 3 critical crash causes, improving app stability and boosting user satisfaction scores by 20% within 6 months.

Implemented a real-time video KYC platform using STUN/TURN servers (COTURN, Jitsi), increasing successful KYC completion by 40% and improving user satisfaction. Orchestrated a team of 8 UI developers, enforcing adherence to product requirements and achieving a 15% faster iteration cycle for new features.

Integrated a multi-stage ID card processing pipeline using Python, OpenCV, and Tesseract OCR, reducing data entry errors by 40% and saving 80 hours/month in manual corrections. Developed a web application leveraging ID and facial biometrics, decreasing manual identity checks by 70% and improving security compliance scores by 25 points.

Designed an alert system to notify users of suspicious activity, reducing unauthorized access by 30% and receiving positive feedback from 90% of users. Streamlined CI/CD pipeline by implementing parallel test execution and caching, reducing Jenkins build times from 2 hours to 30 minutes and accelerating feedback cycles by 75%.

Mastered new UI tech stack in 3 days as the most junior member, improving code quality and reducing user-reported issues. Minified frontend web app payload from 18MB to 2.4MB, reducing network calls from 2800 to 5, enhancing data transfer speed by 90%.

Grade: 8.3 / 10

Completed a Master of Computer Applications with a focus on Computer Science. Achieved a GPA of 8.3 out of 10, demonstrating strong academic performance in the field.