About Me
ML engineer with roots in computational biology, focused on bridging research and production systems. I design and validate traditional machine learning and deep learning models, build experimentation frameworks, and ship low-latency inference pipelines. At Microsoft Azure, I work at the intersection of modeling and distributed systems on Resource Central, the central ML platform in the control plane, serving all regions and handling more than 1 million requests per day.
New York City, NY
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Microsoft Azure
New York, NYMedtronic
Boulder, COSoftware / Projects
EnrichSeq
A bioinformatics pipeline for phage enrichment analysis.
Python / Nextflow / Bash
PhageBox
Embedded system for bacteriophage research automation.
C/C++
PhageScanner
A reconfigurable machine learning pipeline for labeling ORFs/proteins in bacteriophage genomes and metagenomic data.
Python
PhageFilter
PhageFilter uses a Sequence Bloom Tree (SBT) to filter bacteriophage reads from metagenomic files.
Rust
Metscale
MetScale performs metagenome comparison estimates, taxonomic classifications, and functional predictions on metagenomic data
Snakemake / Python
SeqScreen
SeqScreen sensitively assigns taxonomic classifications and functional annotations to short and long (ont) DNA sequences.
Python / Bash / Nextflow
Kvar
A pipeline for finding disease-associated kmers in genomic data
Bash / Python / R