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/