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Hi, my name is

Prakhar Bhardwaj

Principal Software Engineer at GoGroup

I'm a software engineer who is passionate about making open-source more accessible, creating technology to elevate people, and building community.

About Me

Hi, I'm Prakhar Prakash Bhardwaj and I enjoy developing and contributing to the products that can make a beneficial impact on the dependent organization and audience. Skilled in Backend & iOS Development my objective is to emphasise the efficient utilization of technical knowledge and experience to enhance my productivity and learn new technologies along.

Fast-forward to today, and I've had the privilege of working at a selection-bot startup, a mobility startup, & an edu-tech startup My main focus these days is building accessible, inclusive products at GoGroup led Zennify(Europe).

Here are a few technologies I've been working with recently:

  • Node.js
  • MongoDB
  • MySQL
  • Apache
  • Docker
  • Swift
  • PubSub
  • Git
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Where I’ve Worked

Principal Software Engineer @ GoGroup (Zennify Europe)

April 2021 - Present

  • Pioneered "AI in Production"
    Led the design and deployment of enterprise-grade AI solutions, driving up to 2× user re-engagement, 50% faster response times, and 25%+ cost reductions across global clients (e.g., Treatwell, Positec). Featured at Twilio/Zennify Signal 2025.

  • Built Always-On, Scalable Platforms
    Architected customer support and automation platforms handling thousands of concurrent interactions. Leveraged LLMs, Twilio Flex/Studio Flow, and conversational AI to enable real-time, resilient experiences.

  • Full Stack Engineering & DataOps

    • Created CI/CD pipelines and data architectures using AWS, SQL/NoSQL, and S3, cutting deployment times by 50% and enabling fast-paced AI experimentation.
    • Integrated first- and third-party data (Salesforce, CDPs) into production AI/ML workflows, powering hyper-personalized sales and service automation.

  • Collaboration & Leadership

    • Drove end-to-end AI lifecycle in cross-functional teams (PMs, CX, execs, client stakeholders), accelerating time-to-impact.
    • Championed the "Unlocking AI" framework, aligning business KPIs with scalable technical solutions to deliver measurable, org-wide results.

Open Source Contributions

  • AI Voice Assistant MCP Server

    A powerful Model Context Protocol (MCP) server that integrates Twilio Voice, Deepgram AI, and OpenAI to create intelligent voice-based HR automation tools. This system enables AI assistants like Claude to conduct phone interviews, deliver notifications, and manage HR communications through natural voice conversations.
    • Node.js
    • OpenAI API
    • Twilio
    • Deepgram
    • MCP
    • AI Agents
  • Browser-based AI Voice Assistant

    Browser-based AI Voice Assistant

    A browser-based AI voice assistant using Twilio Voice SDK v2.x with real-time conversation capabilities. Talk to an AI assistant directly through your web browser without needing phone numbers.
    • JavaScript
    • Twilio Voice SDK
    • WebRTC
    • OpenAI API
    • AI Agents
  • OpenAI WhatsApp Chatbot

    OpenAI WhatsApp Chatbot

    This WhatsApp bot uses OpenAI's GPT and Twilio Messaging API to respond to user inputs. The tutorial walks you through the process of integrating OpenAI API and Twilio to build chatbot that can offer personalized and engaging experiences for users.
    • Node.js
    • OpenAI GPT
    • Twilio
    • WhatsApp API
    • Conversational AI

  • Twilio-Deepgram Voice Assistant

    This project demonstrates integrating Twilio Media Streams with Deepgram's Voice Agent API to create an AI-powered voice assistant. The system captures real-time audio from a Twilio call, processes it through Deepgram's AI to generate a response, and streams the response back to the caller.
    • Node.js
    • Twilio Media Streams
    • Deepgram API
    • OpenAI
    • Real-time Audio

Technical Writing & Insights

View All Articles on Medium

Journal Publications & Research

  • Railway Track Management System based on IoT devices and Software Application facilitating touch user interface

    • This project is completely automated, from the expansion of the railway tracks(by the heat generated due to the friction between the railway tracks and the train) to the lubrication of the track.
    • Labour and the number of man-hours removal has been the main and focused objective.
    • Accuracy is also managed while creating this project and all the extreme cases are handled like technical failures and environmental issues such that we don’t receive faultily values.

What’s Next?

Get In Touch

Although I'm not currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!