Dipankar Baisya
Research Engineer at Subquadratic
Riverside, California, United States
Summary
👤
Senior🎓
Top SchoolDipankar Baisya is a research-focused engineer with a PhD in Computer Science from UC Riverside and roughly a decade of experience applying deep learning, LLMs, and machine learning to real-world problems. He has shipped fraud detection and transaction risk solutions at Amazon, combining classical ML, clustering, and LLM techniques to strengthen production systems. His academic work bridged computational biology and AI—using CNNs, gradient boosting, and Keras/TensorFlow to predict sgRNA on-target sites and histone modifications while leveraging GPU acceleration. Currently leading research engineering at Subquadratic, he blends product-minded experimentation with rigorous research methodology. Colleagues describe him as equally comfortable prototyping models and optimizing them for scale, with a knack for extracting compact feature subsets that retain accuracy. Based in Riverside, CA, he brings cross-domain curiosity from genomics to fraud analytics and a track record of turning research insights into operational impact.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, RiversideBachelor of Science (BSc), CSE, Bachelor of Science (BSc), CSE at Bangladesh University of Engineering and TechnologyBachelor of Science (BS), CSE, Bachelor of Science (BS), CSE at CSE,BUET
English, Bangla
Stackoverflow
41reputation
164kreached
1answer
0questions
Github Skills (6)
predict7
windows-ce6
unsafe6
deep-learning4
machine-learning3
pytorch3
Programming languages (1)
Github contributions (5)
dDipankar/CRISPER-CAS9
Nov 2018 - May 2021
Contributions:96 pushes, 1 branch in 2 years 6 months
dDipankar/DeepPTM
Nov 2018 - May 2019
Contributions:13 commits, 29 pushes, 1 branch in 5 months
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