Hi, my name is
Jayant Dabas.
I turn data into actionable insights and create robust applications.
About Me
Back in 2020, I developed my first analytics platform to help out my sister. Fast-forward to today, that idea has been selected for $100,000 seed funding incorporating it into a startup, and I joined Rakuten as a Software developer on
completing my Bachelor's in Computer Science, specializing in Data Science and AI.
A software engineer and Tech entrepreneur, explore my journey in data science and machine intelligence as I strive to find creative and transformative solutions to complex challenges. I also cherish the wonders of nature, my passion
for soccer, the joy of cooking, and my love for dogs.
Now, I'm pursuing Masters of Science in Data Science at New York University! 😊
My Experience
Oct 2022 ー Present
Software Developer
Rakuten - Tokyo, Japan
- Led and managed a team of 6 people to renew e-commerce review and recommendation system by upgrading the application framework and resolving security vulnerabilities for improved user experience.
- Designed and developed multiple enterprise-level applications serving about 2.8 million monthly active users with the latest technologies - Azure, Spring Boot, and Kubernetes
- Implemented scalable APIs and automation scripts for managing servers’ performance and release pipelines using Java, PHP, Azure Functions, and Jenkins that serve millions of requests daily
- Led the development of several products E2C, from identifying system requirements and dependencies to workload balancing, software implementation, testing, and configuring metrics and monitoring
- Continuous Integration/Deployment Pipeline integration, pull requests, code reviews, load/stress testing
Aug 2020 ー Jun 2022
Founder and Technology Advisor
MiraiDensei Ltd - New Delhi, India
- Led a team of motivated and qualified people with various skills to develop AnalyticsQ, an enterprise-level automation tool that uses real-time analysis and interactive pipelines to save time and resources by 60%
- Developed the platform using technologies like React, Node, Express, MongoDB, Python, and more
- Won seed funding of HK$100,000 by Hong Kong Science and Technology Park in 2021, establishing its promising impact.
Sep 2020 ー May 2021
DevOps Engineer
Bank of East Asia - Hong Kong
- Automated application pipelines for IBM UCD to allow 25% quicker and more efficient releases
- Modeled privacy frameworks to implement cloud security and designed microservices to manage Docker containers to improve server performance by 30%
Apr 2019 ー Apr 2020
IoT and Mobile App Developer
City University of Hong Kong - Hong Kong
- Designed and developed the official CityU mobile app as part of the central IT team in Flutter. It is one of the top-rated University apps in Hong Kong, with over 120,000 downloads each term
- Implemented APIs with MuleSoft, tested with Postman, and used JIRA for Agile development
Apr 2019 ー Jun 2019
Data Analyst
City University of Hong Kong - Hong Kong
- Led the development of a Python program to analyze 50 years' worth of world data on political and social events provided by the GDELT project using parallel processing to optimize time
Things I've Built
Research thesis - City University of Hong Kong, Hong Kong
- Wrote a research paper on a zero-shot learning method used in unfamiliar object classification in autonomous vehicles, NLP, or detection of unforeseen diseases in medical imaging such as X-rays
- Employed generative approach with text captions to creatively extend the model to new domains
MiraiDensei Ltd - India, Hong Kong
- Led a team of motivated and qualified people with various skills to develop AnalyticsQ, an enterprise-level automation tool that uses real-time analysis and interactive pipelines to save time and resources by 60%
- Developed the platform using technologies like React, Node, Express, MongoDB, Python, and more
- It received seed funding of HK $100,000 from Hong Kong Science and Technology Park in 2021
Data Intensive Computing - City University of Hong Kong
- Analyzed COVID-19 news articles of the past 2 years to identified its propagation and impact worldwide
- Presented the results by building a visualizer using Apache Spark, Python, and JavaScript to analyze the big data from the GDELT dataset provided by Google
- The Data Extraction using Spark significantly improved resource allocation improving the CPU performance by 36% and the memory performance by 14%
City University of Hong Kong - Hong Kong
- Developed CityU Mobile, which is an official mobile app of City University of Hong Kong
- It is one of the top-rated University apps in Hong Kong, with over 100,000 downloads each term
- Implemented internal authentication APIs with MuleSoft and tested with Postman
04.What's Next?
Get In Touch
Although I’m not currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
Say Hello