AI Agent Builder | Founding Member @ Vobiz.ai | AI Consultant | Founder @ Apna Meetup
Building Voice AI infrastructure and helping businesses integrate AI into their ecosystem.
I build AI agents and voice AI systems that solve real business problems. From engineering scalable telephony backends to consulting for enterprises on AI adoption—I help companies ship AI that actually works.
- 🎙️ Voice AI Infrastructure — Ultra-low latency media routing, studio-grade noise cancellation
- 🤖 AI Agent Development — Multi-agent workflows, RAG systems, LLM orchestration
- 🏗️ System Design — Distributed systems, API-first architectures, real-time streaming
- 💼 B2B AI Solutions — Enterprise AI consulting and integration
Building the backend for AI-first telephony and voice agents:
- Engineered ultra-low latency media routing and real-time streaming infrastructure
- Developed API-first primitives for instant DIDs and human-in-the-loop handoffs
- Implemented studio-grade noise cancellation and voice processing pipelines
Scaled Voice AI agents for the BFSI sector:
- Engineered production-ready voice AI agents handling enterprise workloads
- Led client onboarding, improving efficiency by 15% and onboarding 7 enterprise clients
- Designed agent architectures for financial services compliance
Freelance AI solutions for diverse clients:
- Built automations and multi-agent workflows for e-commerce, marketing, and operations
- Delivered custom AI solutions leveraging LangChain, CrewAI, and voice AI technologies
- System design consulting for AI infrastructure and scalability
Built a tech and entrepreneurship community from the ground up:
- Scaled to 7000+ members across 5 states
- Hosted 150+ networking sessions and facilitated 500+ job referrals
- Spoke at NIT Jamshedpur, IIIT Ranchi, and major tech events across India
Real-time voice AI agent framework with WebRTC streaming, Deepgram STT, and multi-provider TTS support. Production-ready telephony integration.
Scalable voice agent platform with turn-taking, interruption handling, and enterprise-grade reliability for high-volume call centers.
Model Context Protocol server for AI agent tool orchestration—enabling seamless function calling across distributed systems.
Deep-dive into graph-based vs chain-based agent architectures, with benchmarks and production recommendations.
End-to-end video generation using AI—from script to final render with automated editing and voice synthesis.
Multi-agent system for resume analysis using CrewAI—automated screening with structured feedback.
- 🥇 1st Place — CodeChef Clash of Codes Hackathon (PES University)
- 🎤 Speaker — NIT Jamshedpur, IIIT Ranchi, DevFest GDG, HacktoberBLR @ Nokia
- 🤝 Met — Nikhil Kamath, Nambi Narayanan at Zero1Fest
- 📈 Prof. CNR Rao Scholarship — Recipient (4 times)
- Distributed Systems — Event-driven architectures, message queues, microservices
- Real-time Streaming — WebRTC, low-latency media pipelines, SIP protocols
- API Design — REST, GraphQL, gRPC with emphasis on developer experience
- Scalability — Horizontal scaling, caching strategies, load balancing