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Alyyan
Ahmed

AI & MLOps Engineer · Computer Vision

I design reliable, production-grade ML systems—spanning data pipelines, model training, deployment, and long-term monitoring—with a focus on real-world impact.

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FOCUS AREAS

MLOps Computer Vision LLMs & RAG Production AI

-- Public Repos

-- Commits (Last Year)

-- Contributions (Last Year)

About Me

AI/ML Engineer focused on building reliable, production-grade machine learning systems for real-world deployment. Strong foundation in machine learning, deep learning, and physics-informed AI, with hands-on experience taking models from research through production, deployment, and long-term maintenance. Experienced in designing scalable ML architectures, applying robust MLOps practices, and developing maintainable AI systems using industry-standard tools. Driven to solve complex, high-impact problems through disciplined engineering and practical AI system design.

Education

BS Artificial Intelligence

Air University, Islamabad | Sept 2021 – June 2025

Work Experience

iOPTIME Pvt Ltd | Islamabad

AI Engineer Intern

NOV 2025 - FEB 2026

Developed ML models for EV battery analytics achieving 91% prediction accuracy.
Worked with ensemble methods (XGBoost) and deep learning (LSTM, Bi-LSTM, PINNs).
Built end-to-end ML pipelines including data preprocessing and API endpoints.
Collaborated on RAG chatbot-based automated auditing applications.

CSERA (Private) Limited

AI & Machine Learning Intern

JULY 2025 - SEPT 2025

Contributed to Vision and Gen AI projects, automated data analysis.
Enhanced model accuracy through optimized detection pipelines using YOLOv8.
Supported AI deployment and MLOps integration with PyTorch, MLflow, and FastAPI.

Digital Bytes

UI/UX Design Intern

JUNE 2024 - SEPT 2024

Designed UI/UX interfaces for AI-based web applications using Flask.
Created visual assets for branding, dashboards, and promotional content with a user-centered design approach.
Recognized for delivering creative, high-quality designs and maintaining consistency across platforms.

Air University | Islamabad

Machine Learning Intern

JULY 2023 - SEPT 2023

Implemented ML algorithms for anomaly detection in network traffic.
Applied predictive analytics to detect cybersecurity threats in large datasets.

Projects

Chest Cancer MLOps

End-to-End CI/CD pipeline with MLflow & DVC. Containerized TensorFlow/Keras model via Docker achieving 93% accuracy.

AI-Powered Portfolio

Self-referential portfolio using LLM-3 and RAG pipelines for dynamic question-answering. Features FAISS vector search.

Facial Emotion Recognition

Production-grade MLOps pipeline with ViT Transformers. Integrated DVC, MLflow, and GitHub Actions.

Pneumonia Detection (ViT)

Dual-model system with ResNet-50 and Vision Transformers. Deployed Gradio app with MongoDB integration.

Facial Demographics Analysis

Multi-task model for Age, Gender, and Race classification using a shared EfficientNet backbone and MTCNN face detection with Streamlit UI.

Smart Cleaning Bot - FYP

An AI-powered autonomous cleaning robot with Raspberry Pi & Arduino, featuring trash detection, obstacle avoidance, and autonomous navigation. Simulated in Gazebo.

Alyyan
Ahmed

About Me

Work Experience

My Skills & Tech Stack