Open to opportunities

Ahmad Fahim

@ahmadfahim1

Message

I build RAG pipelines, AI agents, and production Python backends for AI products.

Pakistan

Message

What I'm looking for

I'm looking to apply my data, AI, and digital product skills to systems transformation, data policy, analytics, and digital product initiatives, collaborating with cross-functional teams in a fast-paced environment.

At Imperial Byte, I design machine learning and deep learning models for AI-driven product features, translating business requirements into technical solutions. I build RAG pipelines and AI agent workflows that connect large language models with internal data sources.

I develop production backend services and REST APIs with Flask and FastAPI, using MongoDB and MySQL to support efficient data storage and retrieval for ML pipelines.

Previously at FlyRank AI, I developed and fine-tuned machine learning models, built Python preprocessing and feature-engineering pipelines, and documented experiments for reproducibility. During my CodeAlpha internship, I applied supervised and unsupervised learning, analyzed datasets, and iterated on baseline models to improve accuracy.

I'm motivated to apply data, AI, and digital product skills to systems transformation, data policy, analytics, and digital product initiatives.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Imperial Byte

Jul 2026 - Present (1 month)

Design and develop machine learning and deep learning models supporting AI-driven product features. Build and maintain RAG pipelines and AI agent workflows, and develop backend services and REST APIs using Flask/FastAPI.

Python Flask fastAPI REST APIs Machine Learning Deep Learning RAG AI Agents MongoDB MySQL

Current

Member

Current

Computer Society, UET Peshawar

Aug 2025 - Present (1 year)

Participate in technical society activities, workshops, and events focused on programming, AI, and software development.

Machine Learning Engineer

FlyRank AI

Jun 2026 - Jul 2026 (1 month)

Developed and fine-tuned machine learning models for applied use cases, built data preprocessing and feature engineering pipelines, and integrated models into backend services via REST APIs.

Python Machine Learning Feature Engineering REST APIs scikit learn

Machine Learning Intern

CodeAlpha

Nov 2025 - Jan 2026 (2 months)

Completed hands-on projects applying supervised and unsupervised learning techniques using Scikit-learn and Python. Cleaned, analyzed, and visualized datasets to inform model selection decisions.

Python scikit learn Data Cleaning Data Analysis Data Visualization