---
title: "Deipayan Dash - Software Engineer III-AI Vision in Bengaluru | Tal"
description: "Meet Deipayan Dash, Engineering @ Oracle | Ex-Razorpay, JioCinema | Distributed Systems based in Bengaluru. AI stack includes claude code and codex."
image: "https://tal.club/meet/deipayan-dash/share-image"
---

# Deipayan Dash on Tal

## Headline

Engineering @ Oracle \| Ex\-Razorpay, JioCinema \| Distributed Systems

## About

Backend and distributed systems engineer with 5\+ years of experience building low\-latency, high\-scale platforms\. At OCI AI Vision, I build real\-time video inference systems in Go, C\+\+ and Python using NVIDIA DeepStream, Kubernetes, gRPC and GPU infrastructure\. I migrated core video decoding and inference components from Python to Go/C\+\+, reaching sub\-30 ms p90 latency and about 70% higher throughput on GPU clusters\. Previously, I re\-architected Razorpay's core UPI payments service and cut latency by 90% on failed\-payment gateway flows\. At JioCinema, I worked on live\-streaming infrastructure supporting 15M\+ concurrent viewers during IPL 2024\. At Capita, I built internal services used by 50K\+ daily users across five countries and was promoted to Feature Owner\. I focus on backend systems, distributed systems, performance, reliability, observability and AI/GPU inference\.

## Location

Bengaluru

## AI stack

claude code

codex

## Work experience

Software Engineer III\-AI Vision at Oracle, Aug 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India, • Built OCI AI Vision’s real\-time video inference platform for object detection and face identification across global regions\. • Migrated video decoding and inference components from Python to Go and C\+\+ with NVIDIA DeepStream\. • Reached sub\-30 ms p90 latency and about 70% higher throughput on NVIDIA A10 GPU clusters\. • Worked across RTSP/WebRTC streaming, Kubernetes, gRPC, GPU utilization and observability\.

Software Engineer at Razorpay, Jul 2024 \- Jul 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India, • Re\-architected core UPI payment services for modularity, reliability and feature scalability\. • Cut latency by 90% on failed\-payment gateway flows\. • Improved auto\-reconciliation across multiple gateways and strengthened security with hybrid encryption\. • Built Prometheus and Grafana monitoring for gateway performance and stability\.

Software Development Engineer 2\-Jio Cinema at JioHotstar, Nov 2023 \- Jul 2024 · 9 mos, Bengaluru, Karnataka, India, • Built an HLS and DASH stream\-analysis system for JioCinema’s live\-streaming platform\. • Supported 15M\+ concurrent viewers during IPL 2024\. • Used FFmpeg to validate segments and detect faulty playlists, with real\-time monitoring to prevent playback failures during major live events\. • Monitored SSAI streams across assets, languages and platforms using Prometheus and Grafana\.

Software Developer at Capita, Mar 2021 \- Nov 2023 · 2 yrs 9 mos, Pune Division, Maharashtra, India, • Built internal web services and REST APIs used by 50K\+ daily users across five countries\. • Developed backend services with Spring Boot and Express and product features in Angular\. • Improved performance, responsiveness, caching, accessibility and modularity\. • Took ownership of a key product and was promoted to Feature Owner\.

Open Source Contributor at Real Dev Squad, Dec 2020 \- Oct 2023 · 2 yrs 11 mos, Remote

## Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

[View the original profile](https://tal.club/meet/deipayan-dash)

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