Hello! I'm Divy Mohan Rai
I am currently working as a Backend Engineer at Zamp Finance. My personal website is where I showcase my projects, writing, statistics, experience, and more. It also reflects of the fields that I am interested in and want to discover more about. Feel free to reach out via email or any social media with any inquiries.
Experience
Zamp Finance
Backend Engineer
Aug 2024 - Present
Go
FastApi
GCP
K8s
NextJS
NewRelic
I am currently working as a Backend Engineer at Zamp. Working on making Finance work at Infinite scale 🚀
Refyne India
SDE-2 (Early Member)
Mar 2021 - Jul 2024
NestJS
FastApi
AWS
K8s
NextJS
Elastic
Joined as an early intern, got promoted to SDE-2 in just 1.5 years.
Led teams and projects driving rocket growth 🚀 while maintaining top-notch quality 🏆
Key Highlights ⚡️
🔍 KYC : Developed a KYC engine from scratch, reducing verification time from 3 minutes to just 2 seconds.
Increased KYC conversion rates from 20-25% to 70-75% per day 📈, outperforming industry standards. Processed over 500,000 users in 1 year with zero reported issues.
🎮 Rewards : Built a rewards system from scratch (scratch cards, virtual rewards) that boosted user engagement. Organized the first Refyne festival, achieving a record DAU of 70,000 in 2023 leading to a 35% increase in user retention.
🤝 Major Client Integrations: Led integrations with key clients like Swiggy, Teleperformance, designing Data Pipeline Frameworks that processed over 1 million unstructured data points in under 1 minute
📊 Refyne Analytical Platform: Created an ETL pipeline converting NoSQL to SQL data with a maximum lag of 2 minutes , Dashboard load times went down from around 4 minutes to 5 seconds
🌟 Leadership in B2C & Collections: Managed B2C and Collections verticals, mentoring juniors and delivering top-quality results.
Omdena
Machine Learning Engineer
Aug 2020 - Feb 2021
Python
AWS
At Omdena I worked as a Machine Learning Engineer on major challenges like: to identify the reason for increasing dumpsites throughout the world, to identify different pathologies and mass based on ultrasound scans.
Precision Electronics
Computer Vision Intern
Jun 2019 - Jul 2019
Python
At Precision Electronics I worked as a Computer Vision Intern. I worked on building a Face Recognition based Attendance System which was capable of running on edge devices like Raspberry Pi.
Featured Projects
![HandWritten Logo](/images/HandWritten-1.png)
HandWritten
HandWritten is an application that aims at converting any digitally typed text to HandWritten text.
![Neural Style Transfer Logo](/images/NST.png)
Neural Style Transfer
Neural Style Transfer is an application based on the style transfer algorithm. A detailed review of the same can be viewed in this blog Neural Style Transfer
![Xmeme logo](/images/Xmeme.png)
Xmeme
Xmeme is an online platform where people can share memes. This project was built as a part of Crio Winter of Doing.
![Personal website logo](/images/DMR-1.png)
Personal Website
My personal portfolio website you are on now. Built with Next.js
, chakra-ui
, mdx
pages, and serverless functions for realtime data.
Looks like you've made it to the end of this page... feel free to check out my YouTube channel where I try to post some tech related fun stuff, along with some tricks and tips