Aniketh Reddy
Senior Deep Learning AI Engineer at Illumina
Berkeley, California, United States
Summary
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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 (46)
fact10
named-entity-recognition10
vector10
fact-checking10
tf-idf10
entity10
natural-language-processing9
representations9
nlp9
rna-seq9
lexicon8
deep-learning8
semantics8
bioinformatics7
nextflow7
Programming languages (6)
Github contributions (5)
anikethjr/anikethjr.github.io
Nov 2017 - Sep 2019
Contributions:2 PRs, 59 pushes, 1 branch in 1 year 10 months
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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