Available to hire
I’m Riwaz Udas, a Master of Information Technology (Computing) student at The University of Melbourne, passionate about building scalable software and deriving insights from data. I specialize in full-stack development and machine learning, and I enjoy solving complex problems through clean design and collaboration with cross-functional teams.
My hands-on experience spans leading projects at Byju’s, designing identity services, and researching AI in quantum cloud computing. I’m eager to apply my technical skills, strong communication, and adaptive mindset to challenging software and data analytics roles.
Skills
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Experience Level
Expert
Expert
Expert
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Intermediate
Intermediate
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Intermediate
Language
English
Fluent
Work Experience
Intern Engineer at Byju's
January 1, 2023 - September 30, 2023Collaborated with senior developers in an eight-person Core Platform team to develop identity micro-services and improve system performance; implemented OTP-based login across 10+ verticals; provided Level 3 customer support for advanced issue resolution; developed and maintained a Golang-based OAuth 2.0 identity platform; designed and enhanced APIs, introduced Prometheus metrics for monitoring 30+ APIs; integrated Grafana and Prometheus for system monitoring with 15 alerts; created APIs based on cross-team requirements and initiated metrics-based monitoring for 30+ APIs; proposed metrics to track OTPs, logins, calls, and errors.
Member of Technical Staff at Byju's
October 1, 2023 - January 31, 2024Managed production issues as primary owner, resolving 10+ cross-service errors; restructured codebase for interface-based builds; authored 200+ tests for 30+ APIs; optimized database queries for 2 million daily users; automated cleanup scripts for expired Ory Hydra records (300M+ records/year); designed middleware with a sliding-window rate limiter and IP filtering to mitigate fraudulent calls, reducing over 50,000 malicious API calls; built a user-auth system using Java Spring Boot for internal customer management.
Research Intern at Quantum AI Cloud
July 1, 2024 - September 30, 2024Led the AIQC team to explore AI models in quantum cloud computing; developed and evaluated deep reinforcement learning algorithms for intelligent task scheduling on quantum cloud infrastructure; benchmarked RL methods including A2C, PPO, SAC, and IMPALA for quantum task placement.
Education
Master of Information Technology (Computing) at The University of Melbourne
January 1, 2024 - December 31, 2025Bachelor of Technology, Computer Science and Engineering at Vellore Institute of Technology
January 1, 2023 - December 31, 2023A Levels at Rato Bangala School, Kathmandu, Nepal
January 1, 2019 - December 31, 2019Qualifications
Algorithmically Thinking Certification
January 11, 2030 - January 1, 2026Artificial Intelligence Foundation Certification
January 11, 2030 - January 1, 2026Big Data Foundation Certification
January 11, 2030 - January 1, 2026Kotlin for Java Developers
January 11, 2030 - January 1, 2026Figma Design Fundamentals
January 11, 2030 - January 1, 2026Salesforce Certified AI Associate
January 11, 2030 - January 1, 2026Industry Experience
Software & Internet, Education, Professional Services, Media & Entertainment, Healthcare
Skills
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Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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