AI Engineer

AI Agents
Agentic RAG & Copilots..
Large Language Models (LLMs).
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Deployed

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User

Bilal Ahmad - LLM Engineer and AI Agent Architect
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Deployed

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User

I specialize in harnessing LLMs and Agentic RAG to build proprietary, context-aware AI applications that drive operational efficiency.

Find me online

ENGINEERING THE NEXT GENERATION OF AGENTIC AI.

As an LLM Engineer, I specialize in architecting, building, and deploying cutting-edge Agentic RAG and Copilot solutions. With 2+ years focused on the modern AI stack, I empower high-growth startups and enterprises to convert complex data into proprietary, scalable AI that drives operational efficiency.
RAG Retrieval Precision
0%
LLM powered AI architecture for Agentic RAG solutions
IMPACT & VISION
FROM RAG PIPELINE TO ROI: SCALABLE AI FOR REAL BUSINESS GROWTH.

WHERE AGENTIC AI MEETS REAL BUSINESS VALUE

PROPRIETARY AI ARCHITECTURE
I design Agentic RAG systems and copilots tailored specifically to your internal data, ensuring secure, proprietary performance.
DEEP LLM EXPERTISE
2+ years focused on architecting production-ready LLM systems, Agentic RAG pipelines, and conversational interfaces
From concept to production, I manage the full LLM engineering lifecycle, ensuring every Agentic RAG system and copilot is built for performance and delivers measurable ROI.
ENTERPRISE-GRADE SCALABILITY
I engineer vector databases and cloud-native solutions designed for high concurrency, reliability, and security.
RESULTS-DRIVEN PARTNERSHIP
I partner with founders and CTOs to translate high-level goals into phased, ROI-focused technical roadmaps.

Where AI Meets Real Business Value

PROPRIETARY AI ARCHITECTURE
I design Agentic RAG systems and copilots tailored specifically to your internal data, ensuring secure, proprietary performance.
DEEP LLM EXPERTISE
2+ years focused on architecting production-ready LLM systems, Agentic RAG pipelines, and conversational interfaces.
ENTERPRISE-GRADE SCALABILITY
I engineer vector databases and cloud-native solutions designed for high concurrency, reliability, and security.
RESULTS-DRIVEN PARTNERSHIP
I partner with founders and CTOs to translate high-level goals into phased, ROI-focused technical roadmaps.
From concept to production, I manage the full LLM engineering lifecycle, ensuring every Agentic RAG system and copilot is built for performance and delivers measurable ROI.

REESE MILLER

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what they say about us

I specialize in engineering Agentic RAG systems, Multi-Agent Applications, LLM-powered Copilots, and production-ready APIs. I focus on transforming complex data into proprietary solutions that drive operational efficiency and high-precision insight generation.

It depends entirely on the scope. A focused RAG MVP (Minimum Viable Product) can take 2-4 weeks. More complex projects, such as Multi-Agent Systems or solutions requiring custom LLM fine-tuning, typically require 6-10 weeks. I provide a detailed phased roadmap upon scope finalization.

Both. I partner with high-growth startups to validate their first Agentic AI products and collaborate with established enterprises to integrate and scale LLM solutions across their existing operations. My technical approach adapts completely to your business stage and needs.

The best first step is to schedule an initial Solution Discovery call using the link above (Lets's Discuss Your Project). We will define your business goals, scope the technical complexity (RAG/Agent requirements), and establish a clear, ROI-focused roadmap.

BOOK YOUR AI STRATEGY SESSION

EXPLORE HIGH-IMPACT LLM, AGENT, & RAG USE CASES.

Bilal Ahmad - LLM Engineer and AI Agent Architect

bilalahmadai

Bilal Ahmad

LLM ENGINEER & AGENTIC AI ARCHITECT

Experience
2023 - Present
LLM ENGINEER AT AIMBOT STUDIO

Designing AI chatbots, RAG systems, and automation pipelines for startups & enterprises.

Education
2019-2023
BS in Computer Science (PUGC)

Built strong foundations in AI, programming, and problem-solving.