Siddharth Parmar (Sid)

Engineering Manager (Frontend • AI/ML)

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About

Engineering Manager at the intersection of frontend craft and AI. Building fast, polished React and TypeScript applications — and making them intelligent with LLMs, agentic systems, and production AI tooling.

At Quo (formerly OpenPhone), leading frontend and AI engineering across the product — shipping production UI alongside agentic features like multi-agent orchestration, MCP tooling, and end-to-end intelligent workflows.

Core Expertise

Frontend Development

  • React
  • TypeScript
  • JavaScript
  • Node.js
  • Redux
  • GraphQL
  • Component Libraries
  • Micro Frontends

AI/ML Integration

  • Large Language Models (LLMs)
  • RAG Systems
  • Fine-tuning
  • Prompt Engineering
  • Agentic Workflows
  • LangChain
  • Vector Databases
  • PyTorch
  • TensorFlow

Cloud & Infrastructure

  • AWS
  • Docker
  • CI/CD
  • REST APIs
  • WebSocket
  • SSE

Professional Experience

Engineering Manager at Quo (formerly OpenPhone)

Frontend development, AI engineering, agentic systems, MCP tooling, multi-agent orchestration, and production AI infrastructure.

Senior Software Engineer at Calabrio

Micro frontends, component architecture, performance optimization. Led frontend initiatives and mentored engineers.

Software Engineer at CareCru

Full-stack development with focus on React and GraphQL architecture.

Instructor at RED Academy & North Island College

Teaching web development, React, JavaScript, and full-stack application development.

Education & Certifications

  • University of Waterloo - Computer Science
  • AlgoExpert - Advanced Algorithms & Data Structures
  • Udemy - Advanced Technical Courses
  • Hootsuite Platform Certification

Technical Blog

Writing about AI/ML integration, agentic workflows, and frontend architecture:

  • Building a Unified Orchestrator for Agentic Flow with A2A + MCP
  • The Days of Prompt Engineering Are Over
  • Transformers: Simple Yet Wildly Versatile
  • From Perfect Prompts to Perfect Ingredients

Contact & Links

Email GitHub LinkedIn Medium Resume PDF

AI Crawlers & Search

For AI agents and search crawlers, comprehensive information is available at:

  • llms.txt - Complete AI-readable portfolio
  • ai.txt - AI discovery file
  • sitemap.xml - Full site map
  • robots.txt - Crawler instructions