---
title: "Yash Sharma - Lead Software Engineer in Bengaluru | Tal"
description: "Meet Yash Sharma, Lead Software Engineer @ Gushwork.ai | Ex PhonePe based in Bengaluru. AI stack includes claude code, cursor, and grok."
image: "https://tal.club/meet/yash-sharma-18/share-image"
---

# Yash Sharma on Tal

## Headline

Lead Software Engineer @ Gushwork\.ai \| Ex PhonePe

## About

Software Engineer with 4\+ years of experience building production systems at early\-stage and unicorn startups, the kind of environments where you own problems end to end\. Recently, my work has shifted deep into AI, designing multi\-agent pipelines, and agentic workflows that actually work in production, not just in demos\. I enjoy the messiness of it: picking the right models, making orchestration reliable, and building the backend infrastructure that holds it all together\. On the backend, I'm most at home with Java, Node\.js and Python\. I've shipped across the full stack when needed \(React, Next\.js\), but backend architecture and system design is where I do my best work\. I care about clean APIs, good abstractions, systems that the next engineer can understand\. And I've spent enough time in lean teams to know how to move fast without leaving a mess\.

## Location

Bengaluru

## AI stack

claude code

cursor

grok

mcp

openai

Exa

## Work experience

Lead Software Engineer at Gushwork, May 2026 \- Present · 4 mos, Leading a pod of 6 engineers, driving the architecture, development, and scaling of the core agentic platform\.

Software Engineer at Gushwork, Sep 2025 \- Jul 2026 · 11 mos, Building AI\-native marketing infrastructure at Gushwork\. A Lightspeed & SIG\-backed startup helping businesses get discovered on ChatGPT, Perplexity, and Gemini\. → Architect and ship custom agentic pipelines using LLMs \(GPT, Claude, Gemini\), RAG, and vector databases for SEO & AEO at scale → Core contributor to system design, multi\-agent orchestration, embeddings, and async backend infrastructure on AWS → Architected a no\-code app builder \(Lovable\-style\) for customers to create and deploy AI\-powered pages running on ephemeral containers → Work closely with engineers, reviewing, unblocking, and helping the team grow alongside shipping

Software Engineer at PhonePe, May 2024 \- Sep 2025 · 1 yr 5 mos, Bengaluru, Karnataka, India, Contributed in building insurance products at PhonePe as a Software Engineer, one of India's largest fintech platforms\. → Agent Assistance Module: Dynamic content system to guide agents on calls\. 6 in 10 new agents reported better call performance\. → Document Verification Flow: Automated 95% of manual document collection\. Used by 300\+ agents and 1k\+ customers daily\. → Insurance Comparison: Multi\-type comparison tool with localized data\. Powers 300\+ agents, 500\+ daily messages across email and WhatsApp\. → Travel Insurance Integration: End\-to\-end APIs, lead management & alerting\. Serves 500\+ customers daily, opened a new revenue stream\.

Software Engineer at Crio\.Do, May 2022 \- Mar 2024 · 1 yr 11 mos, Bengaluru, Karnataka, India, Full Stack Engineer at a seed\-funded ed\-tech startup, building and scaling core platform features used by thousands of learners daily\. Top Contributions: → Widget Service: Architected Crio's dynamic user dashboard, enabling personalized learning experiences for students → Career Services: Engineered a referral and recruiting platform to help users land jobs faster → Lead Generation Service: Built an abstraction layer on top of the sales CRM to bring consistency and control to the acquisition funnel Worked in a lean, high\-ownership engineering team using Java, Spring Boot and React, shipping features end\-to\-end across backend and frontend\.

Engineering Intern at Commvault, Oct 2021 \- Apr 2022 · 7 mos, Bengaluru, Karnataka, India, Interned at Commvault, a publicly traded enterprise data protection and data management company\. Top Contributions: → Contributed to CvPySdk, Commvault's open\-source Python SDK on GitHub → Worked within the OneDrive integration team on backup and recovery workflows

Machine Learning Intern at Statlogic, May 2021 \- Jul 2021 · 3 mos, Bangalore Urban, Karnataka, India, Interned at Statlogic, a bootstrapped ML startup working on real\-world applied AI problems\. → Built a prototype CNN model to detect elephant rumbles from audio, enabling preventive safety measures for communities near wildlife zones → Researched audio feature extraction techniques including MFCC and GFCC to identify the best fit for bioacoustic classification → Trained and evaluated the model using GFCC features in Python

## Education

Bachelor of Technology, Computer Science, Shiv Nadar University

[View the original profile](https://tal.club/meet/yash-sharma-18)

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