Deepika Ravipati

AI Researcher

Hillsboro, Oregon, United States9 yrs 5 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Software Engineering.
  • Led data analysis initiatives providing critical insights.
  • Developed innovative solutions for cloud-based applications.
Stackforce AI infers this person is a Machine Learning and Software Engineering expert in SaaS environments.

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Skills

Core Skills

Machine LearningSoftware EngineeringData VisualizationData EngineeringSoftware Development

Other Skills

NodeJSAngularJSAWSTerraformGo (Programming Language)Data AnalysisNLPPower BIMatlabPythonData PipelinesElastic Stack (ELK)Pega PRPCDatabasesDeep Learning

About

As a Machine Learning and Software Engineer at Intel Corporation, I design and implement key features for a cloud-based web application that enables seamless assessment and evaluation of Evo certified PC designs from OEMs. I use NodeJS, AngularJS, and a wide array of AWS services, such as EC2, S3, RDS, IAM, and Lambda, to create scalable and robust solutions. I also lead exploratory data analysis on customer data within Evo portal, providing critical insights to Evo Program Office. I have a strong background in Machine Learning, Software Engineering, Computer Vision, and Intelligent Systems, with a Master's Degree in Electrical and Computer Engineering from Texas A&M University. I am passionate about developing cutting-edge Machine Learning models, ranging from neural networks to generative AI modeling. I have experience in integrating cross-team components, developing algorithms to analyze LiDAR data, and automating roadway maintenance monitoring. I am committed to delivering innovative solutions and driving continuous improvement, collaborating effectively in cross-functional teams and delivering results in fast-paced environments.

Experience

9 yrs 5 mos
Total Experience
4 yrs 8 mos
Average Tenure
7 yrs 2 mos
Current Experience

Intel corporation

2 roles

Machine Learning Engineer

Apr 2019Present · 7 yrs 2 mos · Hillsboro, Oregon, United States · Hybrid

  • ✅ Designed and implemented key features for a cloud-based web application, Intel Assessment tool that enabled seamless assessment and evaluation process of 350+ Evo certified PC designs from OEMs such as Dell, HP, Lenovo; used NodeJS, AngularJS and a wide array of AWS services including EC2, S3, RDS, IAM and Lambda.
  • ✅ Integrated cross-team components to the Assessment Tool to ensure a cohesive system and to support Spec Versions and Scoring Engine for more than three generations of Intel CPU families.
  • ✅ Led exploratory data analysis on customer data within Evo portal, providing critical insights to Evo Program Office. Proposed strategic plans for the development of a visualization portal leveraging Power BI/other platforms.
  • ✅ Researched WMI’s impact on system power/performance and implemented WMI widget into Battery Life Diagnostics Tool (BLDT), empowering thousands of users and IT managers with actionable insights for optimizing efficiency and improving battery life.
  • ✅ Initiated data-driven approach for tool test run data collection and designed a cloud-based platform for clean data governance and harvesting critical tool data.
  • ✅ Researched and developed Natural Language Processing (NLP) algorithms to analyze and recommend relevant area experts for incoming customer sightings by clustering existing sightings data using pre-trained language models.
  • ✅ Supervised research engagement with Oregon State University team on AI-based optimization of power, performance, and battery life using telemetry. Evaluated the models and directed results to Intel's Evo program.
NodeJSAngularJSAWSTerraformGo (Programming Language)Machine Learning+1

Automation and Machine Learning Intern

Jun 2018Aug 2018 · 2 mos · Portland, Oregon Metropolitan Area

  • I was a part of Client Computing Group (CCG) at Intel and was involved in developing an AI engine that can help find duplicate or similar records of customer sightings in current/future Intel client platforms. Proposed a DFS based metric that changed the accuracy from 50% to 80% in top 5, 10 search results.
Elastic Stack (ELK)PythonMachine Learning

Mindagile consulting

Software Development Intern

Jul 2017Aug 2017 · 1 mo · Greater Houston

  • Implemented Machine Learning models like Regressions, Ensemble models, boosting algorithms which can output a real valued number based on 56 features
  • Implemented feature selection and model selection techniques; used Grid-search methods to tune parameters
  • Used TensorFlow, Scikit-learn python packages to design the models

Texas a&m university

Graduate Assistant Research(GAR)

Dec 2016Mar 2019 · 2 yrs 3 mos · College Station-Bryan Area

  • ✅ Processing the large scale raw data given by Light Detection and Ranging (LiDAR) in Matlab and convert that data to measurements
  • ✅ Developed algorithms to analyze LiDAR data to analyze road geometry.
  • ✅ Developed software incorporating K-means clustering and Eigen value decomposition to automate the roadway maintenance monitoring, that would potentially reduce human labor and save $1.1 million annually.
  • ✅ Investigating other uses of LiDAR data in transportation applications.
MatlabPythonData PipelinesData EngineeringMachine Learning

Virtusa consulting services pvt ltd

Engineer-Technology (Pega Systems Architect)

May 2014Aug 2016 · 2 yrs 3 mos · Hyderabad, India

  • Global Case Management for American Express
  • ✅ Designed an application that would help the customer care professionals of American Express in managing the disputes and complaints
  • ✅ Gathered requirements from the clients and gave best possible suggestions on the implementation such as latency minimization, DB query cost minimization; responsible for coding, unit testing, peer code review
  • ✅ Gave presentations to all the stake holders of the product biweekly to ensure the track of the project
  • Personal Injury – Case Management System for Irwin Mitchell
  • ✅ Designed the application for the solicitors of Irwin Mitchell that would ease the case management of different claims and Investigations
  • ✅ Gathering Requirements and demonstrating the work completed
Pega PRPCDatabasesSoftware Development

Education

Texas A&M University

Master’s Degree — Electrical and computer Engineering

Jan 2016Jan 2019

Jawaharlal Nehru Technological University

Bachelor’s Degree — Electronis and communications

Jan 2010Jan 2014

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