Ammar
Ahmad
Ai Engineer
AmmarAhmad
Powered by AI.
Turning Data Chaos
Into Order.
The Problem
Business data is fragmented, unstructured, and spread across documents, conversations, internal systems, and legacy databases. Traditional automation and analytics approaches struggle to interpret context, handle ambiguity, and extract reliable insights from this noise, leaving valuable information underutilized.
My Solution
I build Context-Aware RAG Pipelines. I create agents that ingest raw, unstructured chaos and convert it into structured, actionable ROI, bridging the gap between your legacy systems and modern AI.
My Arsenal
Technical Services
I bridge the gap between cutting-edge AI and practical business automation. Here is how I can help you scale.
Agentic AI Systems
I build autonomous agents that don't just chat—they take action. Using OpenAI Agents SDK and Python, I create agents that reason, plan, and execute complex business tasks without human oversight.
n8n Automation
Stop doing repetitive work. I architect complex, self-healing Agentic workflows in n8n that connect your CRM, Email, and Database. If it has an API, I can agenticly automate it.
RAG Pipelines
Turn your static documents into intelligent conversations. I build Retrieval-Augmented Generation (RAG) systems that let your AI answer questions based on your specific company data.
Featured Projects
A look at recent agentic workflows and systems I've built.
Focusing on logic, orchestration, and ROI.
Intelligent Fleet Dispatcher
A completely autonomous dispatch system. It intercepts unstructured driver reports, uses Gemini 2.5 Pro to analyze severity, and instantly routes tickets to Jira while alerting Slack channels—reducing response time by 98%.
Autonomous AI Lead Qualifier
An intelligent agent that acts as a Virtual SDR. It bypasses LLM knowledge cutoffs by orchestrating live web searches to find up-to-date company info, verifying data integrity, and enriching CRM records without human intervention.
AI Powered Email Assistant
Solving the 'AI Trust' problem. This workflow connects Gmail to Llama 3 to draft high-quality contextual replies in milliseconds. However, it uses a 'Draft-First' architecture, requiring a single human click to approve sending, ensuring 100% safety.
CISNR Voice-Activated RAG Agent
A voice-enabled RAG (Retrieval-Augmented Generation) system built for CISNR. It monitors a Google Drive for new PDF research, embeds them into a Vector Database, and allows users to query institutional knowledge via a natural voice interface.
Education & Certifications
Academic Background
University of Engineering & Technology Peshawar
Bachelor's degree, Computer Science
2023 - 2027Currently enrolled in the 5th semester, gaining a strong foundation in core CS principles while constantly exploring new techniques in Agentic AI.
PIAIC
Certified Agentic & Robotic AI Engineer
Dec 2024 - Jun 2026Intensive physical course covering OpenAI Agents SDK, Python-based autonomous systems, and advanced robotics.
Islamia College Peshawar
ICS, Inter Computer Science
Apr 2021 - Jun 2023Aced (HSSC) examinations with Grade A+, showcasing proficiency in computer science concepts and problem-solving skills.
Peshawar Public School
Matriculation
Mar 2016 - Mar 2021Graduated with Grade A+, building a solid academic base and igniting a passion for continuous learning.
Professional Certifications

AI Agents and Agentic AI with Python & Generative AI
Vanderbilt University

AI Agents and Agentic AI Architecture in Python
Vanderbilt University

OpenAI GPTs: Creating Your Own Custom AI Assistants
Vanderbilt University

Build Intelligent Agents Using DeepSeek & N8N
Board Infinity

Prompt Engineering for ChatGPT
Vanderbilt University

Python for Data Science, AI & Development
IBM

Introduction to Artificial Intelligence (AI)
IBM

Agile with Atlassian Jira
Atlassian