Ankit Aggarwal
Machine Learning Research Engineer at Flow Traders
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAnkit Aggarwal is a Machine Learning Research Engineer with 12 years of experience building ML platforms, datasets, and continuous learning systems for autonomy and trading. He has led and founded ML initiatives at Flow Traders and driven platform-level ML tooling and MLOps as a tech lead at Aurora and Uber, focusing on scalable pipelines for batch and streaming workflows. Comfortable at the intersection of research and engineering, he designs data engines that actively source and improve production datasets to accelerate model iteration. His background spans enterprise R&D to self-driving autonomy, combining a MS in Computer Science from Stony Brook with early experience in AI-focused control engineering. Based in Amsterdam, he brings a pragmatic focus on production-readiness and measurable social impact from AI systems. Colleagues would describe him as a builder who turns end-to-end ML research ideas into reliable, operational systems.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE, Control Engineering (elective: AI), Bachelor of Engineering - BE, Control Engineering (elective: AI) at Netaji Subhas Institute of TechnologyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stony Brook University
Github Skills (70)
adafruit10
python10
image-processing10
certification10
oscilloscope10
mnist-dataset10
mnist10
computer-science10
javascript10
computer-engineering10
paper10
html10
computer-vision10
edge-detection10
dataset-generation10
Programming languages (8)
Github contributions (5)
ankitaggarwal011/PyCNN
Dec 2014 - Nov 2018
Image Processing with Cellular Neural Networks in Python
Contributions:7 releases, 69 commits, 33 PRs in 3 years 11 months
image-processingneural-networkpythoncellularcnn
ankitaggarwal011/snow-os
Aug 2017 - Jan 2018
Contributions:342 commits in 4 months
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