---
title: "Madhav Sharma - Technical Lead in Bengaluru | Tal"
description: "Meet Madhav Sharma, AI Engineer & Technical Lead @ Interview Kickstart | LLMs, RAG, AI Agents, GenAI, Voice AI | Backend: Python, Django, AWS Serverless based in Bengaluru. AI stack includes aistudio, anthropic apis, and antigravity."
image: "https://tal.club/meet/madhav-sharma-1/share-image"
---

# Madhav Sharma on Tal

## Headline

AI Engineer & Technical Lead @ Interview Kickstart \| LLMs, RAG, AI Agents, GenAI, Voice AI \| Backend: Python, Django, AWS Serverless

## About

I build AI systems that pay for themselves — LLM pipelines, RAG, AI agents, and voice AI on AWS serverless, from POC to production at scale\. Technical Lead of the Applied AI pod \(4 engineers\) at Interview Kickstart, a role I reached in under five years after joining as an intern in 2021\. What I've shipped: → Central Intelligence Platform — LLM call intelligence I architected from a POC: HubSpot webhooks, AWS Lambda, speech\-to\-text, LLM scoring of every sales call, automated coaching reports\. 700K\+ calls/month at 99\.5%\+ pipeline success; $400K incremental revenue\. → Agentic support chatbot — RAG \+ tool calling across ticketing, student\-account, and scheduling systems; resolves tickets end\-to\-end without the ops team\. Ticket volume down 35%\. → AI voice agents — outbound calling \(VAPI, Plivo, Twilio SIP\) for webinar reminders and lead reactivation\. 10,000\+ calls/month with real\-time HubSpot sync; show\-rates up \~12%\. → AI mock interviewer — strict persona prompting with guardrails; 500\+ interviews, adopted as our hiring screen\. The unglamorous foundations are mine too: company\-wide DevOps \(AWS, GitLab CI/CD, CloudWatch, cost governance\), a \~35% cut in LLM spend via model routing across Claude, OpenAI, AssemblyAI and OpenRouter, and engineering hiring for the pod\. I've been shipping LLM features since December 2022 — before it was a job title\. Earlier: Klarna and Stripe payment systems, a referral engine that did $1M\+ in year one, and platform internationalization that grew India sales 70%\+\. Open to: Technical Lead, AI Engineer, Senior Backend, and Forward Deployed Engineer roles — India or international\. → madhav9620@gmail\.com

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

## Work experience

Technical Lead at Interview Kickstart, Mar 2026 \- Present · 6 mos, Leading the Applied AI pod \(4 engineers\): sprint planning, architecture reviews, and hiring — every engineering hire goes through my technical round\. • Scaled our AI call\-auditing system into the Central Intelligence Platform: 700K\+ calls/month analyzed at 99\.5%\+ pipeline success, $400K incremental revenue from coaching insights and lead\-quality signals • Leading an agentic support chatbot \(RAG \+ tool calling\) that resolves student tickets without the ops team — ticket volume down 35% • Cut LLM/API spend \~35% \(\~$5K/month\) via model routing and prompt optimization \(Claude, OpenAI, AssemblyAI, OpenRouter\) • Own company\-wide DevOps: AWS infrastructure, GitLab CI/CD, monitoring \(CloudWatch, Sentry\), cloud cost governance • Driving platform epics: PII security, HubSpot/FreshDesk→Salesforce migration, Zapier→N8N migration \(150\+ workflows\) • Standardized AI\-assisted development with custom Cursor \+ Claude Code rules for the team

Senior Software Development Engineer at Interview Kickstart, Jul 2024 \- Mar 2026 · 1 yr 9 mos, Bengaluru, Karnataka, India, Built the company's generative\-AI product line from zero: • Architected Sales Copilot \(now CIP\): HubSpot webhook → Lambda → S3 → speech\-to\-text → LLM call scoring → automated weekly reports to sales leaders, with BigQuery analytics\. Scaled across 4 sales segments; backfilled 1,100\+ historical calls • Built an AI voice\-calling bot \(VAPI/Bolna/Plivo, Twilio SIP\) for webinar reminders and lead reactivation — 10,000\+ calls/month, real\-time HubSpot sync • Built an AI Mock Interviewer with strict persona prompting and guardrails; extended into our hiring screen • Shipped an objection\-handling engine mining historical call transcripts \(Pydantic\-validated LLM outputs\) • Productionized lead\-scoring ML models on Lambda \+ ECR with GitLab CI/CD, feeding HubSpot \+ BigQuery • Mentored a junior engineer to independent ownership of the India rollout

Software Development Engineer 2 at Interview Kickstart, Jul 2022 \- Jul 2024 · 2 yrs 1 mo, Bengaluru, Karnataka, India, • Launched Klarna BNPL end\-to\-end \+ Stripe subscription lifecycle \(installments, invoicing, dunning\) • Built async queueing microservice for high\-volume HubSpot↔platform API traffic; fixed sync failures blocking 100\+ live enrollment deals • Founding backend engineer for MLCode \(new ML interview\-prep product\); reviewed 15\+ MRs, onboarded 2 engineers • Integrated OpenAI APIs for content generation in Dec 2022; shipped an FAQ chatbot in Apr 2023 • AWS hardening: secrets cleanup, root MFA, cost\-anomaly detection

Trainee at CETPA Infotech Pvt\. ltd\., Jun 2019 \- Jul 2019 · 2 mos, Noida, Uttar Pradesh, India, ▪️Machine Learning Model to predict Handwritten Digitwith Accuracy of 87% ▪️Fine\-tune parameters of machine learning models to further enhance the accuracy ▪️Analysis of Twitter Dataset for the Election campaign of 2019

## Education

Bachelor of Technology \- BTech, Computer Science, DAV UNIVERSITY, JALANDHAR

[View the original profile](https://tal.club/meet/madhav-sharma-1)

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