Aniketh Reddy
Senior Deep Learning AI Engineer at Illumina
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAniketh Reddy is a Senior Deep Learning AI Engineer based in Berkeley with 11 years of experience at the intersection of machine learning, genomics, and computational neuroscience. Currently at Illumina after a PhD at UC Berkeley, he has led multi-lab efforts to design cell-type-specific promoter sequences and validated model-based optimization pipelines with experimentally demonstrated large specificity gains. His work blends production ML at scale—experience from Microsoft product teams—with cutting-edge research like fine-tuning Enformer for personal genomes and diffusion models for biological sequence design, including a NeurIPS 2024 paper. He has a track record of translating complex biological questions into deployable ML solutions, from mRNA stability and splicing predictors to active learning for UTR design. Colleagues describe him as a rapid learner and project leader who bridges lab experiments and scalable software engineering. He brings a rare combination of hands-on wet-lab validation experience and production ML deployment expertise.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, BerkeleyBITS Pilani, Birla Institute of Technology and ScienceMaster of Science in Machine Learning, Master of Science in Machine Learning at Carnegie Mellon University
English, Kannada
Github Skills (43)
named-entity-recognition10
attention-model10
classifier10
fact-checking10
lstm10
deep-learning10
crf10
tf-idf10
representations9
rna-seq9
lexicon8
tensorflow8
machine-learning8
fact7
nextflow7
Programming languages (7)
Github contributions (5)
anikethjr/promoter_models
May 2023 - May 2025
Code to build models that effectively predict promoter-driven gene expression
Contributions:3 PRs, 153 pushes, 3 branches in 2 years
anikethjr/brain_syntactic_representations
Feb 2021 - Nov 2021
Code to produce syntactic representations that can be used to study syntax processing in the human brain
Contributions:16 commits, 2 PRs, 14 pushes in 9 months
brainrepresentationsthe-human-brainsyntacticsemantics
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