Rahul Kamath
SDE-II (AI) @ Capillary | Python | Data Science & ML | Generative AI & LLMs | Neural Networks | REST APIs | NLP | MCP | AWS | SQL | Full-Stack Development | Cloud | Scalable Infra Development| TensorFlow | React | Nodejs
- Role
- Sde 2 - Ai Full Stack Development at Capillary Technologies
- Location
- Mangaluru, KA, IN
- LinkedIn followers
- 500 followers
About Rahul Kamath
I’m an AI Engineer with over 4 years of experience in Python, AI/ML, REST APIs, and…
Experience
Sde 2 - Ai Full Stack Development
Feb 2025 — Present · Bengaluru, IN
Multi-agent LLM systems — Developed specialized agents including SQL Query Agent, API Agent, Payload Creation Agent, Validation Agent, and Attributes Agent to streamline data operations, automate workflows, and enhance accuracy.• MCP Server Development — Designed and deployed Model Context Protocol (MCP) servers leveraging Claude function/tools calling and AI-driven code generation, enabling seamless integration between AI models and business applications.• Authentication & Access Control — Architected a secure auth creation and management system for agentic bots and chatbots, ensuring safe and role-based access across the organization.• Conversational AI for Customer Support — Built and deployed an LLM-powered documentation streaming bot on Capillary’s product webpage, delivering real-time conversational assistance via WebSocket-based chat, and integrated it with Slack to support internal teams with instant, AI-driven responses on products, APIs, and documentation.• End-to-End AI Automation for Marketing — Developed a “language-to-promotion” LLM tool capable of transforming natural language inputs into fully functional marketing promotions — from development and testing to seamless deployment. This agentic bot-driven system significantly reduced manual engineering effort, accelerated release cycles, and saved valuable development hours.
Education
Poornaprajna College, Udupi - 576102
Pre university
2015 — 2017
Sahyadri College of Engineering & Management
Bachelor of Engineering - BE
2017 — 2021
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