Mr Sundhu

Associate Software Engineer

Funavry Technologies Private Limited • Fulltime

Sep 2025 - Present • 1 yr 1 mo

-> Designed and deployed production agentic workflows using LangChain and LangGraph, enabling fully autonomous multi-step task execution across CRM, scheduling, content generation, and customer support - reducing average task turnaround from hours to under 2 minutes. -> Architected 15+ n8n automation pipelines connecting Slack, HubSpot, Google Workspace, Notion, and Airtable for US-based clients, eliminating 30+ hours/week of manual work per client engagement. Built enterprise RAG pipelines using Pinecone and ChromaDB with hybrid semantic + keyword retrieval, achieving sub-1.5s response times for knowledge-base chatbots serving 1,000+ daily queries at production scale. Integrated VAPI voice Al agents for inbound/outbound communication workflows, automating receptionist, scheduling, and lead qualification, handling 200+ calls/day without human intervention. Contributed to InChannel Al's LiBBi platform by engineering Al agents that autonomously automate cross-departmental business operations, demonstrably reducing daily client operational costs by $20,000. -> Implemented MCP (Model Context Protocol) servers to expose business tools as Al-consumable services, enabling LLM agents to autonomously perform DB reads/writes, API calls, and file operations. Delivered agentic A solutions to 40+ international clients (25+ from the USA) with zero project failure rate and strong repeat-engagement record. Mentored junior teammates on LLM prompt engineering, tool-use patterns, and agent design principles; conducted 3 internal technical workshops.

Agentic AI and Automation Engineer

Fiverr • Freelance

Jan 2022 - Present • 4 yrs 9 mos

1) Design and develop autonomous AI agents capable of planning, reasoning, and executing tasks with minimal human input. 2) Build and orchestrate multi-step AI workflows, integrating models, APIs, memory/context systems, and automation platforms. 3) Implement AI-driven automation connecting agents to business systems, pipelines, and operational tools (e.g., CRM, RAG, n8n). 4) Integrate LLMs with external services, databases, and APIs to enable real-world task execution. 5) Architect, develop, and maintain full-stack web applications with modern front-end frameworks, back-end services, and databases. 6) Optimize web applications for performance, scalability, SEO, and user experience across platforms. 7) Develop context and memory management systems for AI agents to maintain state and recall information across sessions. 8) Orchestrate multi-agent systems ensuring coordination, scalability, performance, and efficient resource utilization. 9) Deploy and monitor applications in production using CI/CD pipelines, observability tools, and logging for reliability. 10) Add safety, governance, and human-in-the-loop controls for secure, ethical, and explainable AI behavior. 11) Collaborate with cross-functional teams (product, engineering, stakeholders) to define requirements and deliver end-to-end solutions. 12) Document system designs, workflows, and best practices to support team learning and future scalability.