I’m an AI Engineer focused on building production-grade agentic AI, LLM-powered applications, and end-to-end automation that solve real business problems. I work across the full lifecycle—designing multi-agent and RAG systems, integrating reliable tool calling and guardrails, and deploying them with strong engineering practices so they perform consistently in production. Most recently, I’ve been building multi-agent and real-time voice AI systems for a US medical-technology client, including real-time voice pipelines (speech-to-text, LLM reasoning, and text-to-speech) and workflow automation that connects to CRMs, calendars, databases, and enterprise tools. I enjoy making AI both measurable and dependable through evaluation, observability, structured outputs, and cost/latency optimization using modern LLMOps and cloud infrastructure.…

Syed Rayan Iftekhar

I’m an AI Engineer focused on building production-grade agentic AI, LLM-powered applications, and end-to-end automation that solve real business problems. I work across the full lifecycle—designing multi-agent and RAG systems, integrating reliable tool calling and guardrails, and deploying them with strong engineering practices so they perform consistently in production. Most recently, I’ve been building multi-agent and real-time voice AI systems for a US medical-technology client, including real-time voice pipelines (speech-to-text, LLM reasoning, and text-to-speech) and workflow automation that connects to CRMs, calendars, databases, and enterprise tools. I enjoy making AI both measurable and dependable through evaluation, observability, structured outputs, and cost/latency optimization using modern LLMOps and cloud infrastructure.…

Available to hire

I’m an AI Engineer focused on building production-grade agentic AI, LLM-powered applications, and end-to-end automation that solve real business problems. I work across the full lifecycle—designing multi-agent and RAG systems, integrating reliable tool calling and guardrails, and deploying them with strong engineering practices so they perform consistently in production.

Most recently, I’ve been building multi-agent and real-time voice AI systems for a US medical-technology client, including real-time voice pipelines (speech-to-text, LLM reasoning, and text-to-speech) and workflow automation that connects to CRMs, calendars, databases, and enterprise tools. I enjoy making AI both measurable and dependable through evaluation, observability, structured outputs, and cost/latency optimization using modern LLMOps and cloud infrastructure.

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Experience Level

Expert
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Expert
Expert
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Intermediate
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Language

English
Advanced
Hindi
Fluent

Work Experience

AI Automation Engineer at Aerolens
March 1, 2026 - Present
Designed and deployed production-grade AI agents, voice agents, and GenAI solutions for a US medical-technology client using OpenAI APIs, LangChain/LangGraph, RAG, tool calling, and vector databases. Built end-to-end automation workflows with n8n, Microsoft Power Automate, Copilot Studio, Make, Python, and FastAPI, integrating CRMs, APIs, email, calendars, and enterprise systems. Implemented AI guardrails, prompt evaluation, observability, structured outputs, and optimization to reduce hallucinations and improve reliability, latency, and token costs. Deployed and maintained applications using AWS, Docker, Kubernetes, and Linux/VPS infrastructure with secure data handling and reliable production operations.
AI Engineer at Royal Cloud
July 1, 2024 - February 1, 2026
Built and deployed LLM-powered automation agents for appointment scheduling, customer support, and employee training using prompt engineering, function calling, API integrations, and conversational AI architectures. Developed RAG-based systems for document Q&A using Python, LangChain, vector databases, embeddings, semantic search, and reranking. Integrated REST APIs, webhooks, OAuth, and CRM/payment/calendar/messaging services, deploying workflows on Linux-based cloud/VPS environments using Docker, Git, and CI/CD. Developed Python and Java applications including an Employee Management System and College Application Tracker, supporting automation, data processing, and database connectivity.

Education

B.E. — Artificial Intelligence & Machine Learning at Poojya Doddappa Appa College of Engineering, Karnataka
January 1, 2021 - January 1, 2025

Qualifications

Oracle Cloud Infrastructure 2025 AI Foundations Associate
November 1, 2025 - September 28, 2026
Big Data Computing
October 1, 2024 - September 28, 2026
Introduction to IoT
September 1, 2023 - September 28, 2026
Data Science & Data Analytics
March 1, 2026 - September 28, 2026

Industry Experience

Healthcare, Software & Internet, Professional Services