Sree Lakshmi Addepalli

Senior Software AI Engineer @ Yahoo | AI @ Courant Mathematical Institute, New York University

NEW YORK, NEW YORK8+ Years Experience
Github
Professional Summary

As a Senior Software AI Engineer at Yahoo, I build and deploy AI-powered cloud platforms and Gen AI applications at scale, turning complex data into systems that reach millions of users. With 8+ years of experience, I have led impactful work across LLMs, Generative AI, distributed systems, and cloud infrastructure.

My focus is delivering measurable business outcomes through AI: improving automation, accelerating decision-making, and building reliable large-scale systems that solve real-world problems. I am seeking senior IC4 roles in Backend , AI engineering, Distributed systems, or Machine Learning, where I can continue driving AI innovation with clear product and business impact.

I thrive at the intersection of AI, mathematics, and systems engineering, and I value collaboration, strong execution, and building technology that meaningfully improves user experiences and business performance.

Core Competencies & Skills
AI Engineering

AI systems engineering, LLM architecture, model optimization, and production AI deployment at scale

Cloud Infrastructure

Multi-cloud native platforms and distributed systems

Big Data Platforms

Scalable computing solutions impacting billions of users

Software Development

Infrastructure technologies and software development

Languages
EnglishTeluguHindi
Current Role
Yahoo — Senior Software AI Engineer

October 2022 - Present (3 years 9 months) | New York, New York

Best Use of Yahoo AI Award at Rising ERG AI Hackathon 2026

Built Yahoo Lens, a cross-property AI experience connecting users to the most relevant insights across Yahoo Finance, Sports, and News. It won the Rising ERG AI Hackathon 2026 special award for Best Use of Yahoo AI by driving deeper discovery, engagement, and next-step exploration.

Award-Winning Cost Intelligence 2025

Built an AI agent + MCP-driven cost intelligence layer for Airflow that provides cloud cost visibility and optimization recommendations to reduce pipeline spend. Won "Coolest Learning Award" at Central Tech Innovation Day Q4 2025.

AI Agents for Customer Service 2025

Worked on AI agents for Customer Service and Resolution for incidents at Innovation Day Q1 2025.

AI Innovation Megathon 2023

Involved in addressing AI business megathon challenge for Yahoo Search and Shopping using Generative AI in 2023.

Multi-Cloud Big Data Platforms 2022

Building Multi-Cloud-Native Big Data Platforms and bringing scalable computing to a whole new level, impacting millions of users globally.

Financial Services Experience
1
Credit Suisse

Software Engineer

May 2022 - Sept 2022

New York, United States

  • Worked on Quant Dev Risk Data Calculation platform (EDA)
  • Collaborated with London quant team for cross-functional product requirements
2
Millennium

Software Engineer

July 2020 - May 2022

New York, United States

  • Distributed Systems and Cloud Infrastructure.
  • Nearly 2 years building scalable financial technology solutions.
3
Millennium Internship

Software Engineer Intern

June 2019 - Aug 2019

Greater NYC Area

  • Built firm-wide cloud solution framework (S3Sync) enabling automatic archival and content-based search
  • 1 out of 40 interns selected across top CS colleges in the US
  • Received full-time offer from this highly selective program
NYU Courant Institute Experience
Graduate Teaching Assistant

May 2019 - May 2020 (1 year 1 month)

Graduate Course: CSCI-GA.3033-005: Big Data Application Development (Scala, Spark) under Prof Suzanne McIntosh.

As TA, I assisted with day-to-day projects, including evaluating graduate student assignments and projects, providing ongoing support to key faculty members and related instructional staff. I served as a key go-to for technical issues surrounding the online forum.

Graduate Student Assistant (Webmaster)

January 2019 - August 2019

Webmaster at NYU Linguistics Department, Graduate School of Arts and Science. Work involved updating website events, courses, and website functionalities.

Diebold Nixdorf — Early Career

Mumbai Area, India | 2 Years Total

Software Engineer I

July 2016 - September 2017 (1 year 3 months)

  • Contributed as Developer for Xpression product, solving defects and tasks for desktop client in Xpression 5.0 SP1
  • Innovated automation of Developer Workbench configuration process — received Prize Money and Certificate of Appreciation
  • Developed automated E-mail communication solution for HR Department using mail merging
  • Implemented 'Complaint Analyzer' using Java for analyzing customer trends at banks
  • Built 'Inventory Management Application' using C# and MSSQL
Software Engineer II

October 2017 - June 2018 (9 months)

  • Single-handedly managed successful build and upgrade of CI/CD pipeline
  • Enabled automated construction of "Dynamic Insights", accelerating deployments to Microsoft Azure Cloud
  • Zero cost overruns and zero safety incidents
  • Used Git, Docker, MSBuild, NodeJs, SonarQube, Selenium, and Gradle
  • Integrated automation frameworks for smoke and regression testing
Internships & Training Experience
IIM Lucknow — Data Science Intern

January 2018 | Remote internship under Professor Dr. Sameer Mathur. Analyzed Harvard Business case studies using R, correlations, t-tests, chi-square tests. Built sales strategy using BigMart Sales Data with Random Forest and Linear Regression.

Jio — Multiple Internships

2013-2015 (3 summers). Data Engineer Intern: Built interactive dashboards using SAP Business Objects for 4G services. Software Engineer: Developed web applications using Java Server Faces and Richfaces. Trained in Java, MySQL, JDBC, Socket Programming.

Coursera — Teaching Assistant

June-July 2017 | Mentor for 'AngularJS' course. Solved doubts of course takers, graded peer assignments, sparked discussions and facilitated group learning through problem solving.

Education & Certifications
Apeejay School (CBSE)

2000 - 2010

Pace Junior Science College

HSC, Science

2010 - 2012

University of Mumbai

B.E. Computer Engineering

2012 - 2016

NYU Courant Institute

M.S. Computer Science

2018 - 2020

Certifications

Generative AI Fundamentals

Introduction to Responsible AI

Introduction to Image Generation

Udacity CS344: Intro to Parallel Programming with Nvidia

Machine Learning Foundations: A Case Study Approach

Honors, Publications & Contact
Honors & Awards
01

Best Use of Yahoo AI Award at Rising ERG AI Hackathon - Company Wide AI Hackathon May 2026

02

Coolest Learning Award — Central Tech Innovation Day Q4 2025

03

Airflow Summit Conference 2025 Sponsorship

04

Grace Hopper Conference 2024 Sponsorship

05

Best Technical Paper Presentation (Multiple awards)

06

Technical Event Winners

07

Appreciation Award for Xpression automation contributions

08

INSPIRE Scholarship — Scholarship of Higher Education (SHE) under Innovation in Science Pursuit for Inspired Research

Publication

A Proposed Framework for Measuring Customer Satisfaction and Product Recommendation for Ecommerce

Conferences Attended

Key conferences attended to stay current with industry advancements and connect with the tech community.

Nvidia GTC

2026, San Jose

Attended Nvidia's GPU Technology Conference to explore cutting-edge AI, LLMs, CUDA optimization, and GPU-accelerated computing for production AI systems.

Google Cloud Next

2026, Las Vegas

Attended Google Cloud Next to explore cloud infrastructure, AI/ML on Google Cloud, generative AI applications, and enterprise-scale cloud solutions.

Airflow Summit

2025, Seattle

Received sponsorship to delve into advanced data orchestration techniques, best practices for building robust data pipelines, and the future roadmap of Apache Airflow.

Grace Hopper Celebration

2024, Philadelphia

Attended as a sponsored participant of Yahoo, connecting with leading women in tech and exploring innovations in AI/ML and data science, focusing on real-world applications and ethical considerations.

Data + AI Summit

2026, San Francisco

Explored data engineering, AI/ML infrastructure, enterprise data platforms, and the latest advancements in data science and artificial intelligence applications at scale.


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