Viswesh Periyasamy

Software Engineer

Seattle, Washington, United States10 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in machine learning and distributed systems.
Proven leadership in developing innovative data solutions.
Strong background in cloud infrastructure and orchestration.

Stackforce AI infers this person is a SaaS and Cloud Infrastructure expert with a strong focus on Machine Learning.

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Skills

Core Skills

Machine LearningDistributed SystemsData Engineering

Other Skills

JavaPythonC++JavaScriptScalaSparkData Quality MonitoringAutoMLData AnalysisHTMLCSSUnixVerilogCascading Style Sheets (CSS)Go

About

Software engineer with demonstrated passion for tackling tough technical problems that lie at the intersection of machine learning, distributed systems, and cloud infrastructure.

Experience

10 yrs 9 mos

Total Experience

2 yrs 3 mos

Average Tenure

5 yrs 5 mos

Current Experience

Databricks

3 roles

Staff Software Engineer

Promoted

Feb 2026 – Present · 3 mos

I lead the Data Classification team at Databricks. In the past I've helped build our machine learning runtime, AutoML, data quality monitoring, and agent evaluation frameworks.
If these sound like interesting problems to you, please reach out. We're hiring!

JavaPythonC++JavaScriptScalaSpark+2

Sr. Software Engineer

Feb 2023 – Jan 2026 · 2 yrs 11 mos

Software Engineer

Nov 2020 – Feb 2023 · 2 yrs 3 mos

Confluent

Software Engineer

Aug 2019 – Oct 2020 · 1 yr 2 mos · San Francisco Bay Area

Cluster orchestration and fleet management for Confluent Cloud

Amazon

SDE Intern

Jun 2018 – Aug 2018 · 2 mos · Seattle, WA

Search latency

Wisconsin institute for discovery

Research Assistant

Sep 2017 – May 2019 · 1 yr 8 mos · Roy Lab

Developed machine learning methods to improve gene regulatory network reconstruction. Notable projects include:
Metropolis-Hastings MCMC sampling for robust hyperparameter estimation
incorporating network motifs as topological priors to guide structure search
applying multi-task learning to infer context-specific networks from single cell RNA-Sequencing data
comprehensive analysis of network inference methods on normalized and imputed scRNA-seq data

University of wisconsin-madison

Teaching Assistant

Aug 2017 – May 2018 · 9 mos · Greater Madison Area

CS 537 - Operating Systems
CS 760 - Machine Learning

Sbb research group

Software Engineering Intern

May 2017 – Aug 2017 · 3 mos · Northbrook, IL

Built infrastructure for trader and analyst teams

Thomson reuters

Software Engineering Intern

May 2016 – Aug 2016 · 3 mos · Eagan, Minnesota

Redesigned UI and backend of Monitor Suite profile using AngularJS
Managed and mentored high school intern in programming and software engineering practices

Wisconsin hci laboratory

Research Assistant

May 2015 – May 2017 · 2 yrs · Greater Madison Area

Conducted research on anthropomorphic robots and how they can socially interact with humans
Created experiment for guided mission-critical instruction tasks using Google Glass