Bishwa Kiran is a Lead Software Engineer and Python-focused data scientist with nine years of experience building ETL pipelines, data warehousing solutions, and security-focused endpoint tooling for large enterprises. He combines a strong bioinformatics research background — a PhD in genomics and transcriptomics where he developed custom VCF phasing tools and statistical pipelines — with practical production work in ML/DL, OCR, and time-series anomaly detection at Wells Fargo. Skilled in Python, Pandas, Dask, Elasticsearch, Tanium content development, and multiprocessing optimization, he bridges research-grade data engineering with operational security and observability. He has a track record of shipping applied tools (VCF-Simplify, phaseStitcher/phaseExtender) and internal Python packages for CI/CD-tested endpoint management and data enrichment. Comfortable across Windows and UNIX, Bishwa also brings interdisciplinary strengths in population genetics, statistical modeling (including MCMC), and applied ML, making him adept at turning noisy, domain-specific data into reliable, production-ready insights.
9 years of coding experience
14 years of employment as a software developer
Primary Schooling, Primary Schooling at New Horizon
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of North Carolina at Greensboro
a python program to stitch the ReadBack phased haplotypes in F1 hybrids.
Contributions:75 commits, 64 pushes, 1 branch in 5 years
stitchhaplotypespythonhybrids
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