# Shreyas Dhoot

> Senior Software Engineer @ Spotnana | MSCS at UW Madison | ex-Meta | ex-VMware

Location: Sunnyvale, California, United States
Profile: https://flows.cv/shreyasdhoot

I'm a backend-focused engineer passionate about building resilient, scalable systems and leading with ownership. At Spotnana, I designed a modular airline integration framework that reduced onboarding time from months to weeks, and proactively led cross-functional initiatives in my manager's absence to align QA, TOPs, and Engineering. I've improved system observability, streamlined alerting, and championed code quality through rigorous PR reviews.

Previously, I delivered high-impact customer projects end-to-end and helped grow the team through hiring and mentorship.

Always looking to bridge engineering with business value and lead teams through clarity, empathy, and technical depth.

## Work Experience
### Senior Software Engineer @ Spotnana
Jan 2024 – Present | Palo Alto, California, United States
- Designed and implemented a scalable, config-driven airline integration framework that reduced engineering effort to onboard airlines from several months to just a few weeks
- Automated dev E2E testing using claude and custom MCP servers
- Led the team in my manager’s absence, coordinating engineering efforts, streamlining workflows, and initiating weekly cross-functional meetings to enhance communication between QA, TOPs, and Engineering.
- Improved system stability and alerting and removing manual triaging by implementing structured monitoring rules across all Air APIs, enabling clear visibility into 4xx/5xx failures.
- Built dashboards to track JIRA issues and ownership, streamlining accountability and accelerating issue resolution.
- Reviewed all team PRs to uphold code quality and maintain consistency across the codebase.

### Software Engineer @ Spotnana
Jan 2023 – Jan 2024 | Palo Alto, California, United States
• Delivered multiple high-priority customer projects end-to-end — from requirement gathering in the unfamiliar travel domain to production deployment.
• Helped scale the team by conducting coding interviews and mentoring new engineers

### Software Engineer Intern @ Meta
Jan 2022 – Jan 2022 | Menlo Park, California, United States
• Built a smart canary system to convert the service-centric config selection to an endpoint-centric one to reduce consumption traffic by around 80%
• Reduced the system latency from 20 sec to 100 ms to decrease the rollout time of configs by implementing data pipelines
• Implemented detectors to catch if the exception counts or latency is above a threshold

### Member of Technical Staff II @ VMware
Jan 2021 – Jan 2021 | Pune, Maharashtra, India
- Built real-time algorithms for our product, Network Insight, to decrease the latency from 30 mins to ~3 mins
- Developed a test framework by imitating Kafka and Samza in-memory; saving 1 hour weekly of developer’s time
- Implemented rules in our product to solve network troubleshooting use cases ranging from configuration mismatch to reachability ones
- Built real-time alerts in the system by registering webhook and processing real-time information from multiple data sources
- Worked on various critical customer escalations such as reducing CPU usage by 30% in scaled setups
- Assisted in reducing the build time of our product, by 25%, by building jars and creating SKUs parallelly

### Member Of Technical Staff @ VMware
Jan 2019 – Jan 2021 | Pune

### Facilitator @ The Apprentice Project - TAP
Jan 2019 – Jan 2020 | Pune Area, India

### Administrative Head @ COEP's Data Science Artificial Intelligence Club
Jan 2018 – Jan 2019

### Intern @ VMware
Jan 2018 – Jan 2018 | Pune Area, India
- Conceptualized and developed dashboards in Tableau using telemetry data of our product; helped the support team resolve customer escalations faster by 2-3 days

### Intern @ Indian Institute of Management, Lucknow
Jan 2017 – Jan 2017
Data Analytics in Managerial Applications
- Learnt basic Data Analytics, Statistics and Econometrics
- Learnt to apply these concepts to solve business cases published by Harvard Business School
- Developed a movie recommendation engine and a model to predict if the audience will like a movie

### Developer @ Skyline labs
Jan 2016 – Jan 2017 | Pune Area, India
- Developed an Android app like Zomato using Android Studio
- Made it user friendly for different profiles like the customer, chef and cafeteria owner
- Integrated the app with Firebase cloud messaging (Google Play Services) for notifications
- Integrated with paytm, a payment app for cashless transactions
- Handled back end and databases through PhP scripts and SQL


## Education
### Master of Science - MS in Computer Science
University of Wisconsin-Madison

### Bachelor of Technology - BTech
COEP Technological University

### ISC Board in Computer Science
Smt Sulochanadevi Singhania School

### ICSE Board in Computer
Smt Sulochanadevi Singhania School, Thane


## Contact & Social
- LinkedIn: https://linkedin.com/in/shreyas-dhoot-46095111b

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Source: https://flows.cv/shreyasdhoot
JSON Resume: https://flows.cv/shreyasdhoot/resume.json
Last updated: 2026-04-01