Mohit Uniyal
Sr. Machine Learning Engineer at PayPal
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolMohit Uniyal is a senior machine learning engineer with 9 years of experience building end-to-end ML systems that drive product outcomes, currently focused at PayPal after recent engagements at Walmart Global Tech where he shipped a billion-row daily pipeline for inventory anomaly detection. He specializes in anomaly and fraud detection, large-scale recommendations, and practical GenAI—bringing prompt engineering and LLM tooling into analyst and customer workflows to accelerate decision-making. Comfortable with real-time, high-velocity data, he builds reliable pipelines with Python, PySpark, and Airflow and instruments deployments for drift, latency, and cost. Mohit also has a strong teaching and content background—creating courses, assignments, and delivering thousands of instructional hours—which reflects his ability to translate complex models into usable products and teach teams to adopt them. An early ML/web integrator, he has implemented image-captioning models served via Flask, showing hands-on experience taking models from research to web-facing demos.
9 years of coding experience
6 years of employment as a software developer
Avb Public SchoolMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyUniversity of DelhiPostgraduate Program Machine Learning and AI, Postgraduate Program Machine Learning and AI at University of Hyderabad
Github Skills (14)
continuous-deployment10
keras10
machine-learning10
image-text10
web-development10
image-annotation10
resnet10
python10
ml-deployment10
flask10
flask-ask10
html9
numpy8
pandas7
Programming languages (10)
Github contributions (5)
coding-blocks-archives/machine-learning-online-2018
Jan 2020 - Jun 2020
ML Online Course Repository. Course videos on online.codingblocks.com
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 3 PRs, 3 comments in 5 months
Contributions summary:Mohit implemented and deployed machine learning models on a web platform using Python and Flask. Their work involved developing image captioning functionality, integrating ResNet50 for image feature extraction, and utilizing a pre-trained model for generating captions. The commits demonstrate the integration of machine learning models with a web interface, encompassing model loading, image preprocessing, and caption generation displayed on an HTML page. They also modified the Flask application to handle file uploads and display the generated captions.
online-mlsupervised-learningpythonsvm-classifierclassification-algorithm
mohit2016/mohit2016.github.io
May 2018 - Dec 2019
FIrst Web Page
Contributions:14 commits, 13 pushes, 1 branch in 1 year 8 months
cssjavascriptweb-page
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