Pavan Vutukuru
ML EngineerAI @ Robinhood | prev @ xAi, Liftoff, eBay
Robinhood
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI @ Robinhood | prev @ xAi, Liftoff, eBay
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of Texas at Dallas
Master’s Degree, Cogntive Science, (Machine Learning, Natural Language Processing)
January 1, 2013 – January 1, 2015
Koneru Lakshmaiah College of Engineering
Bachelor of Technology (B.Tech.), Electronics and Computer Science engineering
January 1, 2009 – January 1, 2013
Robinhood
Staff Machine Learning Engineer
December 1, 2025 – Present
Menlo Park, California, United States · On-site
xAI
Member of Technical Staff
May 1, 2025 – December 1, 2025
Palo Alto, California, United States · On-site
Liftoff Mobile
Staff Machine Learning Engineer
October 1, 2024 – May 1, 2025
Redwood City, California, United States · Hybrid
eBay
Machine Learning Engineer
February 1, 2016 – October 1, 2024
San Francisco Bay Area
Capgemini
Software Engineer - Cloud Platform
October 1, 2015 – January 1, 2016
San Francisco Bay Area
University of Texas at Dallas - Computer Science Outreach
Research Intern - Software Developer
January 1, 2015 – May 1, 2015
Dallas-Fort Worth Metroplex
University of Texas at Dallas - Computer Science Outreach
Instructor
June 1, 2014 – October 1, 2015
Dallas-Fort Worth Metroplex
University of Texas at Dallas - Computer Science Outreach
Student Research Engineer
September 1, 2013 – May 1, 2014
Dallas-Fort Worth Metroplex
Minglebox
Software Developer Intern
December 1, 2012 – May 1, 2013
Bengaluru, Karnataka, India
Make A Difference
Vice President - Operations (Vijayawada City)
September 1, 2011 – September 1, 2012
Vijayawada Area, India
Ebola Temporal Search Engine - Java
December 1, 2014 – Present
•Developed a Search Engine that constructs Forward and Backward Indexes on the manually collected data. •The search engine developed is used to retrieve the temporal information related to ebola, expressed in XML documents based on the temporal expressions . •Incorporated Indexing and Search Analysis using the Lucene Library. Implemented Link analysis and Page Rank algorithm to calculate the scores for each document. •Developed the GUI using Java Swings framework.
Barrel Race -Android App - Java
December 1, 2014 – Present
•Designed and developed the logic and UI for the Barrel Racing game . •This game is designed to let the user take advantage of the accelerometer present on the device to navigate and circle around the barrels without touching them to complete the race. •Analyzed the implementation of various position and motion sensors available in android.
Logic Games : Chess - Java, Connect- Python.
August 1, 2014 – Present
•Incorporated Alpha Beta Pruning to implement the game strategy.The chess game is designed to include three modes, starting with the beginner level and it supports both Human versus AI and Human versus Human. •And developed another game "Connect" in which the player has to stack 4 cubes of the same color consecutively either horizontally, vertically or diagonally to clear the cubes. The player loses the game when he reaches the container height.
Virtual Legos - A virtual reality application: C#, Unity, Autodesk Maya.
January 1, 2014 – Present
•Designed a responsive virtual 3D environment using Unity, where the models are designed in Maya , and the scene is put together using Unity for Oculus Rift. •The main goal of this project is to train the user to manipulate the virtual lego shapes to build towards a model lego. Implemented the selection and manipulation techniques using C#
Sentiment Analysis of Product and movie reviews : Python, Weka, Stanford NLP.
December 1, 2013 – Present
•Developed an application to analyze the polarity/sentiment of the cornell's movie review dataset . •The weights for each word per file, file per dataset are calculated and the classification is based on the polarity of the word in each review. Hidden Markov Model is used for Parts Of Speech tagging and Naive Bayes, Logistic Regression algorithms were implemented for classification.
Optical Character Recognition(OCR)
August 1, 2013 – December 1, 2013
The goal of the project is to recognize digits and characters using the concept of Image Processing . Various Machine Leaning algorithms like Knn(K-nearest neighbor), SVM(Support Vector Machine) etc were used for implementing the Image Processing technique. One of the important tools for this project was opencv. The project was programmed and Implemented using Python (Version 2.7).
Windows Application Development
December 1, 2012 – May 1, 2013
A semester long Industrial Internship project where I was part of a team that designed and developed E-learning Android and Windows store apps, which lets the user prepare for the highly competitive exams like CAT,GMAT,GRE.
Haptic Arm Manipulator
September 1, 2012 – Present
Designed and developed a haptic robotic arm(6-DOF). The idea was to replicate the actions that are performed by the remote which are connected to potentiometers and an Arduino Duemilanove is used to relay these actions to the haptic arm which is controlled by the servo motors which are programmed in arduino to replicate the actions.
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research to industry roles at companies like eBay, Liftoff Mobile, and xAI, indicates adaptability and a broad interest in various applications of technology. Their involvement in an NGO as Vice President of Operations also suggests a commitment to social impact and leadership, which can be a strong cultural fit for organizations valuing community and initiative. The progression through different companies and roles, including Staff ML Engineer and Member of Technical Staff, demonstrates ambition and continuous growth. The breadth of skills and technologies used across projects (Java, Python, C#, Unity, Maya, Lucene, Weka, Stanford NLP, PyTorch, PySpark) suggests a versatile and curious individual.
Soft Skills & Operational Fit
The candidate's experience as an Instructor and Vice President of Operations at an NGO suggests strong communication, leadership, and organizational skills. The project descriptions indicate an ability to work on diverse teams and manage complex tasks. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.