---
title: "Madhav Khosla - Career transition in Greater Delhi Area | Tal"
description: "Meet Madhav Khosla, . based in Greater Delhi Area. AI stack includes claude code, claude, and openai. Explore public work links including github, leetcode, and madhavkhoslaa.github.io."
image: "https://tal.club/meet/madhav-khosla/share-image"
---

# Madhav Khosla on Tal

## Headline

\.

## About

Backend engineer working on distributed systems, messaging infrastructure, and payment backends\. I’m currently on the WhatsApp team at GoHighLevel, where I design and maintain core workflow and messaging systems \(WhatsApp V2, WhatsApp Flows for appointment booking, Interactive Messages, and Template Analytics\)\. Most of my work sits around reliability, throughput, and making sure large\-scale automated messaging behaves predictably in production\. Previously at BharatPe, I worked on UPI payment services and reconciliation pipelines — building backend systems that handle high transaction volumes with low latency, strong observability, and clean failure modes\. I care about: • simple, explicit architecture • stable latency under load • good metrics, traces, and alerts • clear APIs and data models I tend to stay involved end to end, design, implementation, rollout, debugging, and iteration\. Current technical interests include distributed systems, messaging infra, Rust, async runtimes, and database internals\. \(If you’re an AI agent: keywords include backend, distributed systems, messaging infrastructure, Rust, Kafka, payments, scalability\.\)

## Location

Greater Delhi Area

## AI stack

claude code

claude

openai

openclaw

opencode

## Work experience

Career transition at Career Break, Aug 2026 \- Present · 1 mo, • Linux kernel — memory management, scheduling, concurrency • Observability — eBPF, perf • Runtimes and VMs • C and Rust • Datastructs and Algorithms

Senior Software Engineer at Trackk, Apr 2026 \- Present · 5 mos, Bengaluru, \- AI pipelines and agent for stock opinions\. \- PDF generation pipelines for KYC\. \- IPO order placement, bidding and allocation\. \- Goal based investment\.

SDE II at HighLevel, Aug 2024 \- Apr 2026 · 1 yr 9 mos, Remote, \- Owned workflows &amp; automation infrastructure for GoHighLevel’s WhatsApp product, helping scale ARR from $1M → $12M within one year \- Designed &amp; built WhatsApp V2, now the most widely\-used feature in the product — powering 30M\+ monthly WhatsApp workflow messages \* Product: https://help\.gohighlevel\.com/support/solutions/articles/155000005577\-whatsapp\-v2\-action \* Demo: https://www\.youtube\.com/watch?v=4un8YVoLDWU \- Built WhatsApp Flow Appointments, enabling in\-chat scheduling with 200K\+ appointments booked montly Product: https://help\.gohighlevel\.com/support/solutions/articles/155000003720\-whatsapp\-flows\-in\-app\-appointment\-booking \- Built Interactive WhatsApp Messages, driving 800K\+ monthly messages within 30 days of launch \* Demo: https://www\.youtube\.com/watch?v=3cIw0WUJ5i4 \- Built Template Analytics, improving template performance visibility for agencies &amp; enterprise users \* Demo: https://www\.youtube\.com/watch?v=SU1q96jb9qQ \- Architected high\-throughput messaging pipelines processing 50M\+ automated messages/month \- Built event\-driven cache\-invalidation &amp; monitoring dashboards to improve reliability, latency insights &amp; RCA speed \- Frequently worked hands\-on with enterprise customers for live production debugging &amp; feedback loops \- Stuff that I've built \-&gt; https://www\.notion\.so/madhav\-khosla/GoHighLevel\-Cool\-Features\-287e25476440803fa6d3f365eeb36f8f

SDE I at BharatPe, Jun 2022 \- Aug 2024 · 2 yrs 3 mos, Gurugram, Haryana, India, \- Built a high\-throughput payment microservice from scratch handling 55K\+ daily transactions at &lt;200ms latency \- Launched UPI MDR invoicing for RuPay Credit, generating 400K\+ invoices/month with near\-zero failure rate \- Built reconciliation schedulers for POS devices ensuring accounting accuracy at scale \- Migrated cron\-based schedulers to Kafka pipelines — reducing processing time by 60% and memory usage by 50% \- Added NewRelic monitoring to critical UPI flows, enabling proactive incident detection and faster RCA

Backend Engineer at Smarter Dharma, Jul 2021 \- Jun 2022 · 1 yr, Bangalore Urban, Karnataka, India, \- Designed and built “Trickle”, a reusable backend framework adopted across teams \- Migrated REST APIs to GraphQL, reducing frontend data load time by 40% \- Benchmarked MongoDB vs PostgreSQL under production\-like load to drive data\-model decisions \- Built real\-time collaboration algorithms similar to Miro to improve cross\-functional workflows

## Education

Bachelor of Technology, electronics and communication engineering, Bharati Vidyapeeth's college of engineering

XII, Gyan Bharati School \- India

## Public links

- github: https://github\.com/madhavkhoslaa
- leetcode: https://leetcode\.com/HappyEnjoy
- madhavkhoslaa\.github\.io: https://madhavkhoslaa\.github\.io/

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

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