I build production-grade AI systems focused on real-time conversational AI, multimodal systems, AI agents, streaming architectures, and intelligent orchestration pipelines.

My work primarily revolves around:

• Real-time Voice AI Systems
• Gemini & Google AI Ecosystem
• AI Agents & ADK
• RAG & Memory Architectures
• AI Workflow Orchestration
• Multimodal AI Infrastructure
• Agentic Automation Systems

Currently working as an AI/ML Engineer at Headfield Solutions Pvt. Ltd., where I design and deploy scalable AI-native systems for real-world business applications.

I’m also the organizer of TensorFlow User Group (TFUG) Ghaziabad, one of the fastest-growing AI developer communities supported by Google for Developers, where I actively lead AI workshops, DevFest sessions, and developer education initiatives across the Google AI ecosystem.

• 🤖 Building production-grade AI systems & conversational infrastructure
• 🎙️ Developing low-latency Voice AI & streaming AI pipelines
• ⚡ Designing real-time multimodal AI architectures using Gemini
• 🧠 Engineering RAG systems, memory layers & AI orchestration pipelines
• 🔄 Building AI Agents using Google ADK, MCP & Agentic workflows
• ☁️ Deploying scalable AI systems on Google Cloud & Cloud Run
• 🌍 Leading AI developer communities & technical workshops
• 🎤 Speaker, Mentor, Hackathon Judge & Technical Educator
• 🏅 AWS Community Builder — AI Engineering (2026)

📍 Noida, India

• Building production-grade Voice AI & AI Calling systems
• Developing real-time conversational AI agents powered by Gemini Live APIs
• Designing streaming AI architectures with interruption handling & orchestration pipelines
• Building AI workflow automation systems using Dify, n8n & custom agent pipelines
• Deploying scalable AI-native applications on cloud infrastructure
• Engineering LLM-powered automation systems for enterprise use cases

• Developed enterprise automation workflows
• Built scalable backend services & FastAPI APIs
• Worked with production-scale systems & integrations
• Gained exposure to high-scale engineering systems

Production-grade realtime conversational AI backend with:

• Streaming STT → LLM → Live TTS pipeline
• WebSocket-based low-latency orchestration
• Interrupt handling / barge-in architecture
• Hardware-aware optimization layer
• Multi-layer conversational memory
• Local LLM inference with Ollama
• Kokoro & Piper TTS integration
• Production deployment profiles

FastAPI • Whisper • Ollama • WebRTC VAD • WebSockets • Kokoro TTS • Docker

🔗 https://github.com/coder-irwin/minimal-voice-ai-system

Real-time Voice-to-Voice AI Assistant powered by Gemini Live API.

• Native voice-to-voice conversations
• Gemini Live WebSocket architecture
• Function calling workflows
• Interrupt-aware conversations
• Streaming AI orchestration
• Zero backend architecture
• Real-time multimodal interactions

Gemini Live API • Web Audio API • WebSockets • JavaScript • Streaming AI

🔗 https://github.com/coder-irwin/ai-calling-assistant

Production-grade Gemini Live AI Voice Agent platform.

• Google Calendar integration
• Secure Python gateway
• Streaming voice orchestration
• Real-time AI scheduling assistant
• Gemini Bidirectional WebSocket architecture

🔗 https://github.com/coder-irwin/voice_ai_agents_using-Gemini_live_api

Autonomous AI QA ecosystem transforming PRDs into executable UI automation pipelines using Amazon Nova models.

• Requirement intelligence pipelines
• Autonomous UI test generation
• AI-powered browser automation
• Voice-enabled QA analysis
• Multi-stage orchestration workflows

🔗 https://github.com/coder-irwin/novaflow-qa-agent

Enterprise-grade AI support resolution engine with deterministic orchestration pipelines and financial safety guardrails.

• Autonomous support resolution
• Policy & guardrail engine
• AI workflow orchestration
• Deterministic execution systems
• Audit logging & escalation pipelines

🔗 https://github.com/coder-irwin/hackathon2026-akaash-tripathee

• Real-Time Conversational AI
• Voice AI Systems
• Streaming AI Pipelines
• AI Orchestration Systems
• AI Agents & ADK
• Multimodal AI Systems
• Agentic Workflows
• AI Infrastructure Design

• Gemini APIs
• Gemini Live API
• Vertex AI
• RAG Architectures
• Vector Databases
• Memory Systems
• Prompt Engineering
• Tool Calling Systems
• MCP (Model Context Protocol)

• Python
• FastAPI
• WebSockets
• Async Architectures
• REST APIs
• Docker
• Cloud Run
• AI Deployment Systems

• Google Cloud Platform
• AWS
• Azure
• Docker
• GitHub Actions
• CI/CD Pipelines

• 👥 10,000+ AI/ML developers

• 🎯 Organized 30+ AI/ML community events

• 🌍 Part of Google’s Global ML Ecosystem

• 🤝 Supported by Google for Developers

• 🎤 Delivered 70+ technical talks, workshops & sessions

• 🧑‍🏫 Conducted hands-on workshops on:

  • Gemini APIs
  • Google ADK
  • Vertex AI
  • AI Agents
  • Multimodal AI
  • RAG Systems
  • AI Infrastructure
  • Conversational AI Systems

Delivered technical sessions, workshops & DevFest talks across:

• DevFest
• Build with AI
• Google Developer Groups (GDGs)
• TensorFlow User Groups (TFUGs)
• AI Conferences
• Hackathons
• Google AI Labs
• Cloud Community Events

• Gemini & Gemini Live APIs
• Real-Time Conversational AI
• AI Agents & ADK
• RAG Architectures
• MCP & Agentic Workflows
• Vertex AI Agent Builder
• AI Infrastructure & Orchestration
• AI Security & Guardrails
• Streaming AI Systems
• Multimodal AI Applications

• 🏅 AWS Community Builder — AI Engineering (2026)
• 🌍 Invited to Global AI Developer Summit — Bali, Indonesia
• 🎤 Mentor at Guinness World Record AI Hackathon
• 🤖 Organizer — TFUG Ghaziabad
• ☁️ Selected for AWS New Voices Cohort 2026
• 🎯 Invited Speaker at multiple DevFests & Build with AI events
• 🧠 Speaker on Gemini, ADK, AI Agents & Conversational AI Systems

Currently focused on:

• Real-Time Voice AI Infrastructure
• Gemini Ecosystem & Agentic AI
• Conversational AI Systems
• AI Orchestration Frameworks
• Streaming Multimodal AI Pipelines
• AI Workflow Automation
• Production AI Systems Engineering

To engineer impactful AI systems that combine:

• real-time intelligence,
• multimodal interaction,
• AI orchestration,
• workflow automation,
• and production-grade conversational infrastructure

while empowering developers through open knowledge, technical education, and community-driven innovation.