Jyotendra Sharma
I'm a senior backend engineer with 11+ years of experience specializing in Rust, Python, and TypeScript — with deep roots in supply chain and operations SaaS.
About
I’m a senior backend engineer with 11+ years of experience specializing in Rust, Python, and TypeScript — with deep roots in supply chain and operations SaaS.
Most of my recent work has been at Vividly, a US-based CPG trade promotion SaaS, where I owned the most performance-sensitive parts of the product — building a high-performance Rust analytics service, leading a terabyte-scale database migration, and establishing the company’s end-to-end testing platform.
What sets me apart is the combination of rare Rust expertise, supply chain domain knowledge, and the full-stack range to own a problem from database to UI when needed.
Employment and project experience
Principal Engineer · Shimrix Technologies
May 2026 – Present
Senior Software Engineer · Vividly Inc. (formerly Cresicor), US · Remote
Mar 2025 – Apr 2026
Full Stack Engineer · Vividly Inc. (formerly Cresicor), US · Remote
Aug 2021 – Mar 2025
Solutions Architect · Bitvivid Solutions
Jan 2019 – Feb 2021
Software Engineer · Codiant Technologies
Sep 2017 – Oct 2018
Engineering Intern · Sterlite Technologies
Apr 2017 – Jun 2017
Freelance Software Developer · Self-Employed
Oct 2015 – Apr 2017
Associate System Engineer · IBM India
Mar 2015 – Oct 2015
- 9 years' experience
- Joined May 2026
Languages
- EnglishFluent
- HindiFluent
Industry experience
- Healthcare
- Financial Services
- Non-Profit Organization
- Wholesale & Distribution
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Work experience· 7 roles
During my first three and a half years at Vividly, I built and owned core product features across the full stack — backend services in Python and Rust, and frontend modules in React. Notable work includes building a high-performance Rust analytics service using Axum, SQLx, and Apalis, leading a zero-downtime terabyte-scale Firebase-to-PostgreSQL data migration, and driving the frontend build pipeline migration from Webpack to Vite. I also developed caching layers that brought response times from minutes down to milliseconds, and drove developer experience improvements including pre-commit hooks, CI optimizations, and internal tooling.
At Bitvivid, I hired, managed, and mentored an 8-person full-stack engineering team, leading them from initial recruiting through architecture design and production launch. I architected and delivered DeepIVA — a real-time video analytics distributed system built on Nvidia DeepStream SDK, Kafka event streaming, and AWS — for smart city use cases including object detection, traffic control, and facial recognition. The project was successfully deployed at Prayagraj Smart City and recognized with the company's Impact Award.
Education
Major in Electronics and Communication Engineering
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