Prakash Devnani profile photo 1 on Tal

Prakash Devnani

SDE 2 at Meesho · Backend Engineer · Java · Spring Boot · Kafka · Python · Distributed Systems · Gen AI

Bengaluru

2+ years of work experience

Meesho
Jan 20269 mosPresent

Owning backend infrastructure for AI Services — voicebot platform, Gen AI ticket automation, and a self-serve rule engine used by non-technical teams. Voicebot system scaled from 60K to 200K+ calls/day re-architected into a multi-tenant microservices framework that reduced business unit onboarding from weeks to days.
Meesho
Jun 20241 yr 7 mosDec 2025

Gen AI chat system (LLM + function calling + ticket history) automates ~50K support tickets/day; escalation rate dropped from 24% to 10%. Self-serve rule engine lets product and ops teams configure A/B experiments and traffic routing without engineering involvement — cut feature launch lead time from 3–5 days to under 30 minutes.
Atlassian
May 20233 mosJul 2023

Bengaluru, Karnataka, India

Built a bulk subscription management tool for Jira and Confluence supporting deactivation, reactivation, and audit workflows — reduced admin service time by 50% for enterprise customers. Implemented client-side GraphQL queries with server-side validation and Jest test coverage; shipped with zero post-deployment defects.

Prakash’s AI Stack

claude code
claude code
claude
claude
codex
codex
cursor
cursor
langgraph
langgraph
opencode
opencode

Education

National Institute of Technology Silchar

Bachelor of Technology - BTech, Computer Programming/Programmer, General

National Institute of Technology Silchar

20204 yrs2024

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Headline

SDE 2 at Meesho · Backend Engineer · Java · Spring Boot · Kafka · Python · Distributed Systems · Gen AI

About

Backend engineer with experience building and scaling distributed systems at Meesho, one of India's largest e-commerce platforms. My work spans Gen AI driven voicebot infrastructure (scaled to 200K+ calls/day), a Gen AI based chat system capable of handling ~50K support tickets/day, and a self-serve rule engine that reduced feature launch time from several days to under 30 minutes. I work primarily in Java, Python and Spring Boot, with Kafka and Redis at the core of most of what I've built. I've also integrated LLMs into production workflows — function calling, contextual history, ticket automation. Outside of work, I've solved 2000+ problems across competitive programming platforms and hold a Guardian rating on LeetCode (top 0.93% globally).

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

langgraph

opencode

Work experience

SDE 2 at Meesho, Jan 2026 - Present · 9 mos, Owning backend infrastructure for AI Services — voicebot platform, Gen AI ticket automation, and a self-serve rule engine used by non-technical teams. Voicebot system scaled from 60K to 200K+ calls/day re-architected into a multi-tenant microservices framework that reduced business unit onboarding from weeks to days.

SDE at Meesho, Jun 2024 - Dec 2025 · 1 yr 7 mos, Gen AI chat system (LLM + function calling + ticket history) automates ~50K support tickets/day; escalation rate dropped from 24% to 10%. Self-serve rule engine lets product and ops teams configure A/B experiments and traffic routing without engineering involvement — cut feature launch lead time from 3–5 days to under 30 minutes.

SWE Intern at Atlassian, May 2023 - Jul 2023 · 3 mos, Bengaluru, Karnataka, India, Built a bulk subscription management tool for Jira and Confluence supporting deactivation, reactivation, and audit workflows — reduced admin service time by 50% for enterprise customers. Implemented client-side GraphQL queries with server-side validation and Jest test coverage; shipped with zero post-deployment defects.

Education

Bachelor of Technology - BTech, Computer Programming/Programmer, General, National Institute of Technology Silchar

Public links

leetcode: https://leetcode.com/UltraInstinct2355

codeforces: https://codeforces.com/profile/Prakash86

Prakash Devnani - SDE 2 in Bengaluru | Tal