Gadde S.

I build AI agents and full-stack platforms that ship to production — not just demos. I’m currently a Software Engineer II at Seismic, working on Aura AI, an enterprise agentic AI platform. I contribute across the AI interaction layer, agent orchestration, frontend architecture, and production deployment. My current work includes: → Developing a reusable prompt library for managing, organizing, testing, and executing prompts across different AI workflows → Building Aura’s voice mode using Whisper for speech recognition and natural voice-based interactions → Developing a low-latency, real-time conversational mode for continuous AI interactions → Building multi-agent workflows using LangGraph and a supervisor-agent architecture → Enabling the supervisor agent to understand user intent, delegate tasks to specialized agents, and coordinate final responses → Developing scalable agentic interfaces using React, TypeScript, and modern frontend architecture → Containerizing and deploying services using Docker and Kubernetes → Working with cloud infrastructure, distributed services, observability, and CI/CD pipelines Previously, at Reccopilot, I spent nearly two years engineering AI-powered recruitment products used by recruiters in their daily workflows. I developed: → A chat-based AI recruiter orchestrator → A Virtual Interview Agent that autonomously screens candidates → A Twilio-powered AI Phone Calling Agent → A complete assessment platform with live plagiarism detection and an integrated code editor → A Stripe billing platform supporting recurring subscriptions, usage tracking, add-ons, promo codes, and payment management On the freelance side, I delivered a production-ready, multi-channel AI agent for LetQuickly in the USA. The platform supported voice calls through Twilio, WhatsApp conversations, and real-time website chat through a unified AI system. The solution included: → Retrieval-Augmented Generation using Qdrant Vector Database → Real-time LLM streaming using WebSockets → Google Speech-to-Text and Text-to-Speech → Conversational memory, tool calling, and contextual AI workflows → C# and Python Flask microservices → Dockerized services and cloud deployments For the same client ecosystem, I also developed an SEO-optimized React platform for RK Realtors, contributing to a 40% increase in inbound leads. ### What I bring to your project → Production-grade AI agents with memory, RAG, tool calling, and multi-agent orchestration → Voice AI systems with speech recognition, streaming, and real-time conversations → LangGraph supervisor and specialized-agent architectures → Full-stack development using React, TypeScript, Node.js, ASP.NET Core, C#, and Python → Scalable deployments using Docker, Kubernetes, AWS, Azure, and CI/CD → Experience with microservices, WebSockets, Redis, Qdrant, and distributed systems → End-to-end ownership—from architecture and development to deployment and monitoring I received the Lei of Excellence — Employee of the Year 2025 at Reccopilot. B.Tech in Computer Science from IIIT Vadodara. If you need an AI agent or full-stack AI platform that works reliably from end to end, let’s talk.