Personal details

Rupesh M. - Remote back-end developer

Rupesh M.

Based in: 🇮🇳 India
Timezone: Kolkata (UTC+5.5)

Summary

Accomplished in building products on Gen AI, an expert in OpenAI and backend development, I've led teams to build and scale groundbreaking products that have generated tens of millions in revenue.

Specializing in crafting scalable solutions from inception, my expertise lies in merging cutting-edge AI with robust backend architectures. With a track record of exceeding targets and a keen eye for strategic alignment.

Work Experience

Senior Software Development Engineer
Innovaccer Analytics Inc. | Jan 2020 - Present
Django
Node.js
Git
MongoDB
GitHub
Jenkins
Elasticsearch
TypeScript
Python 3
JavaScript
OpenAI
Express.js

Sara - AI Healthcare Assistant

  • Developed SARA Virtual Assistant app, revolutionizing medical prac- tices by offering diagnostic suggestions, SOAP note documentation, and automating follow-up scheduling.
  • Worked end-to-end development, leveraging OpenAI to optimize functionalities. Helped in saving 30% of doctors’ time.

InNote - Doctor assistant app

  • Migrated to a multi-tenant backend architecture, reducing the av- erage release cycle from 3 months to just 2 weeks, and delivering a 40% reduction in cloud costs.
  • Led the migration of the whole backend ( 100 APIs) from Django to FastAPI resulting in a 100% increase in RPS and reducing response time by 30%.

InVision - Image Parsing Engine

  • Developed custom models with OpenCV to reduce reliance on Google Vision, resulting in a 50% reduction in cloud API costs.
  • Developed the InVision service using NodeJS to reduce calls on the Primary backend, while also resulting in a 40% increase in RPS.

Tech used: OpenAI, Python, Django, MongoDB, ElasticSearch, NodeJS, ExpressJS, Docker, Redis, Celery, Django-Channels.

Education

The LNM Institute of Information Technology
Bachelor's degree・Computer Science
Aug 2016 - May 2020

Personal Projects

2017
Django
PostgreSQL
Bootstrap
Python 3
A Question-Answer portal developed for intra-college use in The LNM Institute Of information Technology (LNMIIT). The project was made as a Summer Internship Project Under CSI LNMIIT Chapter.