Jul 03, 2025 07:58 PM IST

Suhail Doshi, co-founder of Mixpanel, accused Soham Parekh of misleading teams and questioned the authenticity of his resume.

Soham Parekh, an Indian tech professional, is at the centre of a storm in Silicon Valley after being accused of moonlighting or quietly working for multiple startups at once — all without telling the companies involved.

Soham Parekh was accused by Suhail Doshi, co‑founder of Mixpanel and Playground AI, of working for multiple startups at the same time.(X/@mhadifilms) Soham Parekh was accused by Suhail Doshi, co‑founder of Mixpanel and Playground AI, of working for multiple startups at the same time.(X/@mhadifilms)

The controversy erupted after Suhail Doshi, co-founder and former CEO of analytics platform Mixpanel, took to X (formerly Twitter) to call out Soham Parekh’s alleged actions. 

Also Read | Soham Parekh gets new job offer? AI founder wants to hire Indian techie: ‘Be greedy when others…’

Suhail Doshi claimed that Soham Parekh had been simultaneously involved with three to four early-stage startups, misleading founders and teams who had no idea he was dividing his time — and loyalty — elsewhere.

Doshi said 90% of his resume seems fake, and most links are gone. “I want to also say that I tried to talk sense into this guy, explain the impact, and give him a chance to turn a new leaf because sometimes that’s what a person needs. But it clearly didn’t work,” the entrepreneur added.

Also Read | Soham Parekh breaks silence? Suhail Doshi claims India techie asked ‘have I completely sabotaged my career’

Here is full CV of Soham Parekh as shared by Suhail Doshi:SOHAM P.EDUCATION

  • Georgia Institute of Technology Sept 2020 – May 2022
  • M.S. Computer Science
  • Deep Learning, Natural Language Processing, Advanced Operating Systems, Distributed Computing, Computer Networks
  • University of Mumbai Aug 2016 – May 2020
  • B.E. Computer Engineering Overall GPA: 9.83/10
  • Applied Mathematics, Discrete Mathematics, Algorithms, Databases, Machine Lemming, Artificial Intelligence, Natural Language Processing, Cloud Computing, Distributed Computing

EXPERIENCEDynamoAlUnion.ai

  • Remote Senior Fullstack Engineer
  • Jan 2023 – Jan 2024
  • Worked on Flyte and Union Cloud Console, a performant workflow orchestration platform that seamlessly unifies data, ML and analytic stacks written in Go, Python and React.
  • Implemented gRPC services for supporting complex real-time workflow visualizations and executions over DAG
  • Implemented custom parsers mid plugins for quick-compilation of run-tune inputs built on top of JSON schema spec.
  • Designed and implemented a highly optimized KDTree based algorithm for Distribution and Alignment snapping of workflow elements
  • Programmed observability metrics for Union Cloud platform for real-time monitoring of logs and important metrics such as GPU. CPU utilization, live streaming of workflow execution logs
  • Revamped Union Cloud Platform design using Atomic Design

Synthesia

  • Remote Senior Fullstack Engineer
  • Dec 2021 – Dec 2022
  • Worked on Synthesia Studio, a performant in-browser video editor written in React.js with serverless Flask API with PostgresQL and MongoDB.
  • Implemented support for complex real-time collaboration mid presence detection in Synthesia Studio in React using Conflict-free Replicated Data Types (CRDT)
  • Implemented custom plugins and mark wrappers using Tiptap and Prose-mirror to restructure the speech input and add support for Synthesia specific nodes to annote events in videos like gestures, micro-gestures, timeline markers. etc.
  • Designed mid implemented a highly optimized KD’Ree based algorithm for Distribution and Alignment snapping of canvas elements for Synthesia Studio
  • Extended Synthesia’s internal SSML parser with support for customised tags for tuning video animation with voice script
  • Revamped Synthesia STUDIO Editor design using Atomic Design

Alan AI

  • Remote Founding Software Engineer
  • Jan 2021 – Dec 2021
  • Developed several internal visualization tools for tracking machine learning pipelines and models using React.js and D3.js
  • Implemented end-to-end Alan STUDIO, a React.js based browser environment for allowing users to train Alan’s AI bot right within their own browser
  • Built a synthetic dataset sampler to train Alan’s entity-recogniser, improving accuracy by 4.6% • Added multilingual support for Alan’s entity-recogniser
  • Dockerized existing scripts for running model training on cloud
  • Worked on Node.js and Apollo GrapliQL to develop a performant GraphQL backend server
  • Integrated a robust queue system using BullMQ for processing heavy background jobs
  • Impact Improved server query response time by 72% by restructing API and optimizing database queries
  • Led efforts for Alan Studio, a cloud-based service that let’s users train and test Alan’s capabilities in less than 30 seconds
  • Reduced reporting API endpoint response times from several minutes to fewer than 7 seconds by rewriting the API using Nestjs, SQL query optimization and caching
  • Built a group of microservices to automate infrastructure management for Alan Platform using Nestjs, Caddy proxy. Terraform, Google Cloudrun, Google PubSub

Github

  • Open Source Fellow
  • Remote May 2020 – Aug 2020
  • Remodelled existing code on NVM to rollout support for Windows-based systems

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