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Building Stuff
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@bolna-ai

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DeepBhupatkar/README.md

Heyy there! 👋 I'm Deep Bhupatkar

Software Engineer @ Bolna (YC F25)

• Voice AI • Real-Time Systems • SDKs • Open Source

  • Building voice products that feel natural, fast, and reliable in production.

About Me

I build real-time voice AI systems and agent workflows that turn speech, context, and tools into useful product experiences.

Previously, I helped build Voice AI products and platforms at VideoSDK and ZeroRuntime.ai, focused on agent frameworks, real-time audio/video systems, and low-latency conversational infrastructure.

Current Work

  • I work on production-grade conversational AI systems across voice, telephony, and multimodal experiences.
  • Architecting Python-based cascading and real-time inference pipelines for conversational AI
  • Writing custom plugins and agent orchestration systems for real-time voice interactions
  • Directly supporting client engineering teams with integrations
  • Improved observability, performance, and reliability for AI systems

Tech Stack

AI/ML: Python, PyTorch, Hugging Face, ONNX, ONNXRuntime, Transformers, LangChain, OpenAI API, Whisper.cpp
iOS: Swift, Objective-C, AVFoundation, CoreML, Metal, WebRTC, Combine, CoreAudio
Speech & Agents: STT, TTS, STS, Agent Orchestration, Cascading Pipelines, Real-time Voice SDKs
Cloud: AWS, Google Cloud, REST APIs, WebSocket, FastAPI

Building the future of real-time, intelligent communication experiences - one line of code at a time.

Contact

🌐 Digital Space: https://deepbhupatkar.com
📫 Email: bhupatkardeep@gmail.com
🔗 LinkedIn: linkedin.com/deep-bhupatkar

Feel free to explore my repositories and projects! ✨

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  1. bolna-ai/bolna bolna-ai/bolna Public

    Conversational voice AI agents

    Python 821 392

  2. agents agents Public

    Forked from gmh5225/agents-video

    Open-source framework for developing real-time multimodal conversational AI agents.

    Python

  3. swiggy-voice-ai-agent-videosdk-mcp swiggy-voice-ai-agent-videosdk-mcp Public

    Voice-powered AI agent for Swiggy (food, groceries, dineout) using VideoSDK AI Agents framework, Swiggy MCP servers, Google Gemini, and SIP telephony. Supports browser, phone calls, and WhatsApp.

    Python 2

  4. CoreLLM CoreLLM Public

    Your on-device AI, built the Apple way. A native LLM experience for macOS, iOS, and iPadOS — powered by Swift, SwiftUI, and the MLX framework. Runs locally. Works privately. Feels magical.

    Swift 7

  5. macOS-Chrome-Extension-Bridge macOS-Chrome-Extension-Bridge Public

    Demonstrates how to implement Chrome's Native Messaging API to connect a macOS application with a Chrome Extension.

    Swift 1