---
title: "Shubham Yadav - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Shubham Yadav, Senior SWE @ Google | Quantitative Trader | IIT Bombay CSE based in Bengaluru."
image: "https://tal.club/meet/shubham-yadav-4/share-image"
---

# Shubham Yadav on Tal

## Headline

Senior SWE @ Google \| Quantitative Trader \| IIT Bombay CSE

## About

Hey there, I am interested in Machine Learning, algorithmic optimization and distributed systems, along with anything that will send me days into thinking about the problem and designing a solution\. Always interested in an entrepreneurship opportunity, especially if you have a viable business plan and solves a problem in real world\.

## Location

Bengaluru

## Work experience

Senior Software Engineer at Google, Nov 2022 \- Present · 3 yrs 7 mos, Bengaluru, Karnataka, India

Software Engineer \- Backend at Nirvana Insurance, Jan 2022 \- Sep 2022 · 9 mos, India, Worked as a backend engineer on the product and data engineering platform\.

Quantitative Trader at A\.P\.T\. Portfolio Private Limited, Mar 2019 \- Dec 2021 · 2 yrs 10 mos, Bangalore, Worked and deployed profitable High\-Frequency Trades in NSE and BSE\.

Software Engineer at A\.P\.T\. Portfolio Private Limited, Jun 2017 \- Mar 2019 · 1 yr 10 mos, Bengaluru, Karnataka, India, Worked on improving and adding features to the low\-latency HFT trading infrastructure\.

Summer Analyst at Goldman Sachs, May 2016 \- Jul 2016 · 3 mos, Bengaluru, Karnataka, India, • My work was to implement auto differentiation for faster market calibration for cross stocks • Reduced the execution time by upto 2x for two\-cross Stock\-cross\. • Reduced the execution time by upto 30% for single\-cross Stock\-cross\. • Implemented automatic differentiation on the MultiFX model to get the Jacobian faster than analytical method\.

Software Engineering Intern at Infurnia, May 2015 \- Jul 2015 · 3 mos, Mumbai, Maharashtra, India, • Reduced the execution time of 3D assembly solver from \~1 minute to under 1 second\. • Implemented clustering of vertices on graphs which reduces the exponential algorithm to practically linear if all clusters are of less than 3 vertices\. • Used networkx for back end and FreeCAD for front end, and used graph clustering for optimization\. • Converted the constraints from FreeCAD constraints to our preferable type to solve faster and more efficiently\.

## Education

Bachelor of Technology \(B\.Tech\.\) with honors, Computer Science, Indian Institute of Technology, Bombay

10th class board, 10th class CBSE board, Rachana School, Ahmedabad

[View the original profile](https://tal.club/meet/shubham-yadav-4)

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