# Saurav Dhar

> Software Engineer | Bioinformatics

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/sauravdhar

A software engineer with 3 years of industry experience in designing and developing security infrastructure
tools for large-scale applications. A bioinformatics researcher with expertise in designing and implementing
high-performance algorithms and tools for analyzing viral genomics, phylogenetics, and disease transmission
networks. A team player, problem solver, and critical thinker skilled in various programming languages and
frameworks including Go, Python, Java, and C++.

## Work Experience
### Software Engineer @ Persistent Systems
Jan 2023 – Present | Santa Clara, California, United States

### Software Engineer @ Algorizin
Jan 2023 – Jan 2023

### Software Engineer @ Google
Jan 2021 – Jan 2023 | Sunnyvale, California, United States
• Built infrastructure tools that enable Google-wide projects to leverage Google Cloud Platform (GCP) safely.
• Designed and developed modules for an Infrastructure as Code (IaC) system using Go that enabled Google engineers to onboard and manage their projects on GCP.
• Built features and tools to enable safe and managed data sharing within and outside of Google using BigQuery.

### Graduate Teaching Assistant @ University of Connecticut
Jan 2020 – Jan 2021 | Storrs, Connecticut, United States
Tutored students in-person and online. Lectured in labs. Held office hours. Set and graded homework and exams.
• CSE3500: Algorithms and Complexity. Spring, 2020
• CSE1010: Introduction to Computing for Engineers. Fall, 2020
• CSE 4302: Computer Organization and Architecture. Spring, 2021
• CSE 5713: Data Mining. Spring, 2021

### Graduate Research Assistant @ University of Connecticut
Jan 2018 – Jan 2021 | Storrs, Connecticut, United States
• Designed and implemented high-performance bioinformatics algorithms to solve transmission network inference
problems and applied them for regional COVID-19 contact tracing.
• Developed a pipeline to simulate, and analyze tools for transmission network inference using Python and C++.
• Published "TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity" at ISBRA 2020.
• Published "TNet: Transmission Network Inference Using Within-Host Strain Diversity and its Application to Geographical Tracking of COVID-19 Spread" at IEEE/ACM TCBB 2021.

### Software Engineer @ Veriflow (Acquired by VMWare)
Jan 2017 – Jan 2018 | Dhaka, Bangladesh
• Worked on developing network security systems designed to eliminate outages and vulnerabilities in the network.
• Set up and tested various networking protocols using test-beds and interacting with networking devices like Cisco, Juniper, Arista, Fortinet, F5, A10, Citrix, etc.
• Testing and performance analysis of devices, writing industry level codes, reports, and summaries of findings.


## Education
### Master of Science - MS in Computer Science & Engineering (CSE)
University of Connecticut

### Bachelor of Science - BS in Computer Science & Engineering (CSE)
Bangladesh University of Engineering and Technology

### Higher Secondary School Certificate (HSC) in Science
Govt. M. M. City College

### Secondary School Certificate (SSC) in Science
KHULNA ZILLA SCHOOL AND COLLEGE


## Contact & Social
- LinkedIn: https://linkedin.com/in/saurav008

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Source: https://flows.cv/sauravdhar
JSON Resume: https://flows.cv/sauravdhar/resume.json
Last updated: 2026-03-29