Abigail Fernandes
Machine Learning Engineer at Annapurna Labs
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAbigail Fernandes is a Software Development Engineer II with nine years of experience building microservice-driven systems and production ML infrastructure in the San Francisco Bay Area. She currently contributes to Amazon SageMaker and previously helped scale Amazon Go, bringing hands-on expertise in Node.js, Go, Angular, and AWS services. Her background includes research-oriented work at Uber on computer vision and depth completion, pairing deep learning experimentation with practical engineering. Abigail holds an MS in Computer Science from University of Colorado Boulder (3.97 GPA) and a B.Tech in Computer Engineering, reflecting strong academic rigor. She has driven architectural improvements—introducing Redis caching and pub/sub patterns—to reduce latency and replace polling in prior roles. Pragmatic and curious, she blends model-centric research experience with production-grade cloud engineering to ship reliable, performant systems.
9 years of coding experience
6 years of employment as a software developer
HSC Science, HSC Science at Mithibai CollegeMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Colorado BoulderBachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at Veermata Jijabai Technological Institute (VJTI)SSC, SSC at Mary Immaculate Girl's High School
Github Skills (40)
data-validation10
react-component10
webforms10
json-schema9
json9
python9
machine-learning9
gpu9
deep-learning9
react9
numpy8
aws-services8
neural-network8
tensor7
twitter7
Programming languages (7)
Github contributions (5)
CUBigDataClass/BigMood-UI
Mar 2019 - Apr 2019
Sentiment analysis of twitter data (front-end)
Contributions:50 commits, 28 PRs, 48 pushes in 1 month
frontendsentiment-analysistwitter
amazon-contributing/upstream-to-pytorch
Feb 2026 - Jun 2026
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:12 reviews, 6 PRs, 18 pushes in 3 months
gpu-accelerationneural-networkpython
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