Akshay Bahadur
Senior Machine Learning Engineer at Yahoo
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAkshay Bahadur is a Senior Machine Learning Engineer based in San Jose with nine years of industry experience and a focused MS in Information Systems Management (AI) from Carnegie Mellon. He has progressed from software engineering roles in India to senior ML positions at Lowe's and Yahoo, combining production-grade engineering with applied research in computer vision and deep learning. His open-source projects, including a self-driving car module and an emoji/gesture classifier, showcase hands-on expertise training CNNs and integrating models into interactive applications. Comfortable across the stack, he blends data preprocessing, model development, and deployment experience to move prototypes into product features. Colleagues describe him as ambitious—his GitHub motto, "Making a dent in the universe," reflects a practical drive to ship impactful ML systems.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at SIT- Symbiosis Institute of TechnologyMaster of Information Systems Management Artificial Intelligence, Master of Information Systems Management Artificial Intelligence at Carnegie Mellon University
English, Hindi, Sign languages
Stackoverflow
507reputation
49kreached
39answers
0questions
Github Skills (23)
opencv10
python10
machine-learning10
mask-rcnn10
keras10
deep-learning10
tensorflow10
faster-rcnn10
computer-vision10
image-processing9
autopilot9
numpy9
self-driving-car9
object-detection9
datasets8
Programming languages (8)
Github contributions (5)
akshaybahadur21/Autopilot
Jul 2018 - Jun 2022
A simple self-driving car module for humans 🚘 🛣️
Role in this project:
ML Engineer
ML EngineerContributions:28 commits, 27 pushes, 1 branch in 3 years 11 months
Contributions summary:Akshay contributed significantly to the development of a self-driving car module. Their work primarily involved building and training a convolutional neural network (CNN) model for autopilot functionality, specifically focusing on steering angle prediction. They implemented data loading, preprocessing, model definition, and training procedures using Keras and related libraries. The user also modified the application code to integrate the trained model and display the steering wheel's movement.
nvidiadeep-learningdatasetcomputer-visionmachine-learning
akshaybahadur21/Emojinator
May 2018 - Jun 2022
A simple emoji classifier for humans. 🖖
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:56 commits, 2 PRs, 58 pushes in 4 years 1 month
Contributions summary:Akshay implemented a Rock, Paper, Scissors, Lizard, Spock game using OpenCV and a Keras model for gesture recognition. They developed a Python-based application (`RPS_App.py`) that integrates image processing with the game logic and UI. Furthermore, the user created and trained the Keras model (`RPS_Model.py`) utilizing image data and a Convolutional Neural Network (CNN). The project incorporates dataset generation using `CreateCSV.py` for the RPS gestures.
nlpemojipythonclassifierframe
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