---
title: "Krishna Yadav - Senior Software Engineer in New Delhi | Tal"
description: "Meet Krishna Yadav, Senior Software Engineer | Ex-Amazon SDE | Ex IIITD | Agentic AI, Java, Scala, Python, SQL, AWS | ML, DL, NLP, Data based in New Delhi. AI stack includes claude code, cursor, and hugging face. Explore public work links including medium and krishnayadav.lovable.app."
image: "https://tal.club/meet/krishna-yadav-3/share-image"
---

# Krishna Yadav on Tal

## Headline

Senior Software Engineer \| Ex\-Amazon SDE \| Ex IIITD \| Agentic AI, Java, Scala, Python, SQL, AWS \| ML, DL, NLP, Data

## About

Are you seeking a tech talent who transforms data into impactful business solutions? I’m Krishna Yadav, a Software Development Engineer with a proven track record of 5\+ years including 3 years at Amazon\. I've orchestrated \~100 ETL pipelines using SQL, AWS EMR, and Apache Spark, analysing 200M ASINs for daily competitor price match decisions\. I optimized a 90\-day manual process to 3 hours, yielding a $1B\+ impact\. Additionally, I designed an automated dashboard for competitor status trend analysis, streamlining process with a single click\. I've developed a ReactJS WebApp for competitor analysis, reducing data loading latency to 10 seconds\. I also created an ML solution that processes large datasets and performs multi\-threaded ML classifications in under 30 minutes\. Acing the academia, I hold a Masters in Data Engineering from IIIT Delhi, underpinning my expertise in areas such as NLP, AI, and machine learning\. I am an active contributor to my organization's ML team, taking on ML projects in tandem with my regular responsibilities\. With expertise in Java, Python, Scala, SQL, ReactJS, AWS, and more, I hold an M\.Tech\. from IIIT Delhi and a B\.Tech\. from Graphic Era University\. Recently started learning German\. Let’s connect and explore how I can contribute to your team\!

## Location

New Delhi

## AI stack

claude code

cursor

hugging face

windsurf

githubcopilot

Devin

## Work experience

Senior Software Engineer at Dell, Apr 2025 \- Present · 1 yr 5 mos, Bengaluru, Karnataka, India, Driving end\-to\-end development of an agentic AI–powered SSOT platform for Dell with minimal human coding effort\. Architected and owned a Spring Boot integration between Dell Live Optics & PowerSizer to automate sizing across ISG platforms, enabling one\-click, customer\-specific infrastructure recommendations and reducing manual effort by 80%\. Architected and engineered AISizer, a high\-throughput, fault\-tolerant web\-based infrastructure sizing recommendation engine accelerating deal velocity and improving cost efficiency\.

SDE2 \| AP at Graphic Era, Nov 2023 \- Dec 2024 · 1 y 1 mo, Dehradun, Uttarakhand, India, • Built a generative model for customer queries integrated with the institutional website catering 10,000\+ user queries/day\. • Independently handling design, coding standards, code reviews, build processes, testing, and operational aspects for over 15 real\-world solutions, following SDLC principles and agile methodologies with 200 peers collaborating in groups of 10\.

Software Devlopment Engineer at Amazon, Jan 2021 \- Nov 2023 · 2 y 10 mo, Bengaluru, Karnataka, India, Competitor Analysis: Developed a ReactJS Web App for detailed competitor review, utilizing Dynamo DB and S3 for storage and Restful APIs in Java\. Reduced 4 weeks of manual effort to 30 minutes using efficient automation, slashing data loading latency by 90%\. \- Developed solutions to identify potential competitors and offer best prices to drive the business\. \- Allow pricing SMEs to take decision on product prices to be highly competitive in the global market\. I worked in a full stack development mode for providing competitor governance and recommendation engine at Amazon in large scale \(\~50,000 competitors\)\. My product considers all the metrics and data possessed by amazon w\.r\.t it's world wide competitors offline/online\. • Competitor Governance: Lead a team of 3 to Design & Implement Competitor Evaluation and Recommendation System, A Web App, optimising 90 days of manual effort to 3 hours resulting in $1B\+ business to Amazon Retail\. • Orchestrated 100\+ ETL pipelines in SQL followed by EMR jobs in Scala, analysing ̃200M ASINs across 1000\+ metrics to derive competitor status daily using advanced data mining and pre\-processing techniques\. • E2E Competitor Management Tool: Engineered a data\-driven dashboard for competitor analysis from scratch on 40 core metrics\. It can autonomously orchestrate worldwide ad\-hoc competitor status update workflows for 5M\+ records in one click\.

## Education

Master of Technology \- MTech, Computer Science, Indraprastha Institute of Information Technology, Delhi

Bachelor of Technology, Computer Science, Graphic Era Deemed to be University

## Public links

- medium: https://medium\.com/@krishna19039
- krishnayadav\.lovable\.app: https://krishnayadav\.lovable\.app/

[View the original profile](https://tal.club/meet/krishna-yadav-3)

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