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Aqib Mehmood

@aqibmehmood

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AI/ML Engineer building scalable RAG, chatbots, and production APIs with Python and FastAPI.

Pakistan

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What I'm looking for

I’m looking for an AI/ML role where I can build production-ready RAG systems, automated workflows, and secure REST APIs—bridging business needs with strong engineering to scale user-facing chatbots and AI platforms.

I’m an AI & ML Engineer specializing in designing and implementing scalable, production-ready AI ecosystems. With 1+ years of hands-on experience, I focus on bridging business needs with technical execution through Retrieval-Augmented Generation (RAG), automated workflows, and LLM integration.

I’ve built end-to-end solutions—from training models in TensorFlow to deploying high-performance APIs with FastAPI and Flask. Highlights include an AI-powered EDI error resolution system using LLM + RAG automations, automation pipelines for business contact data extraction, and multi-agent chatbot contributions (including Docker runtime performance and Stripe integration). I also enjoy user-focused work like AI-powered chatbots and AI-driven summaries, and I’ve delivered production integrations using OAuth 2.0, webhooks, and REST APIs.

Experience

Work history, roles, and key accomplishments

Python Developer

StepSharp Digital Pty Ltd

Contributed to a multi-agent AI chatbot platform by improving agent orchestration and state management and optimizing Docker runtime performance, and implemented Stripe payment integration and core platform features.

Python Multi Agent Systems Agent orchestration State Management Docker Stripe Chatbot Development

Python Developer

Softwarepattern

Developed automated web scraping solutions to extract and process structured business contact data, optimizing data pipelines with cleaning, database integration, and report generation for lead generation and analytics.

Python Web Scraping Scrapy Selenium BeautifulSoup Data Cleaning Data Pipeline Development

AI/ML Engineer

QIntellect Technologies

Built an LLM- and RAG-based automation system to analyze failed EDI transactions, automatically resolve common errors, and resubmit transactions to improve processing efficiency.

LLM AI Automation

Python AI/ML Engineer

Freelancing

Built integrations and AI features including QuickBooks (Intuit) API solutions with OAuth/webhooks/REST via FastAPI, deep learning dataset annotation, real-time face-detection attendance, a Django earning platform using Celery and MySQL, and a privacy-focused mental health chatbot with Flask and NLP.

Python OAuth Webhooks REST APIs fastAPI Data Annotation OpenCV Face Recognition Django Celery MySQL Flask NLP TensorFlow NLTK User Management

Education

Degrees, certifications, and relevant coursework

KFUEIT (Khwaja Fareed University of Engineering and IT)

Bachelor of Science in Artificial Intelligence, Artificial Intelligence

2022 - 2026

Activities and societies: Final Year Project: Liver Tumor Segmentation (Deep Learning) using V-Net + LiTS dataset; medical image preprocessing, data augmentation, Dice coefficient evaluation; Django visualization interface.

Completed a Bachelor of Science in Artificial Intelligence. Final-year project built a V-Net-based deep learning model for automated liver tumor segmentation from CT scans using the LiTS dataset, evaluated with Dice coefficient, and visualized results via a Django interface.