Generative AI & Machine Learning Engineer
Hello, I'm Shayan Ali
Building intelligent systems, Transforming complex data into intelligent and adaptive solutions by leveraging cutting-edge machine learning and artificial intelligence techniques.
Building intelligent systems, Transforming complex data into intelligent and adaptive solutions by leveraging cutting-edge machine learning and artificial intelligence techniques.
I'm a passionate Generative AI and Machine Learning Engineer skilled in building intelligent, data-driven systems. I specialize in designing and deploying scalable ML models with a strong focus on MLOps practices to ensure reliable and efficient production performance.
With a solid foundation in Deep Learning, Computer Vision, and Natural Language Processing, I bridge the gap between research and real-world impact by developing end-to-end AI solutions — from data collection and model training to scalable deployment.
The Islamia University Of Bahawalpur (2021 - 2025)
Coursera (2024)
Afwera(2025)
2024 - Present
Delivered end-to-end ML solutions: RAG-Pipeline,data pipelines, model training, deployment, and monitoring across NLP and Generative AI. Built real-time inference APIs with Flask/FastAPI and Dockers, kubernetes. Implemented CI/CD and experiment tracking(MLflow)
Arch Technologies (Aug 2025 - oct 2025)
Developed end-to-end ML and RAG pipelines using MLflow, DVC, and LangChain with Docker-based automation, hyperparameter tuning, and cloud integration via AWS S3 and GCP
Crawler Studios (2022-2023)
Worked on published game Development projects
2023 – Present
(Aug 2025 - oct 2025)
Python
Scikit-learn
Supervised Learning
Model Evaluation Metrics
TensorFlow/Keras
Neural Networks (CNN, RNN)
Transfer Learning
Transformer Models
Diffusion Models
Model Training & Fine-tuning
Text-to-Image/Text-to-Text
Spacy/NLTK
Transformer Models (BERT)
Sentiment Analysis
Named Entity Recognition
Docker
CI/CD
Kubernetes
AWS/GCP
Pandas/NumPy
Matplotlib/Seaborn
Exploratory Data Analysis
Custom ML models for predictive analytics, classification, and pattern recognition using Python, TensorFlow.
Creating innovative AI solutions for content generation and automation using advanced models.
Seamless integration of AI capabilities into web and mobile applications.
Implementing CI/CD pipelines for machine learning with monitoring and versioning.
LLM-powered system that automatically structures raw, unorganized data into clean CSV and JSON formats, enabling seamless data integration and analysis.
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AI-powered multilingual Q&A assistant that extracts information from video or audio inputs and provides accurate, context-aware answers.
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Comprehensive MLOps system that streamlines data ingestion, validation, model training, and deployment, featuring MongoDB integration and automated CI/CD workflows on AWS.
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Retrieval-Augmented Generation (RAG) system designed to analyze terrorism-related research documents and generate precise, context-aware insights using Large Language Models.
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LSTM-based model trained to generate Roman Urdu poetry from a seed word and specified word count.
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Deep learning-based system that detects and classifies brain tumors from MRI images using convolutional neural networks for accurate medical image analysis.
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MLOps-driven machine learning system that automates the training, evaluation, and deployment of handwritten digit classification models using scalable pipelines.
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Machine learning model that classifies emails as spam or legitimate using NLP techniques and automated MLOps workflows for deployment.
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Implemented GitOps using ArgoCD to automate deployment and management of a web-based weather application powered by Docker, Kubernetes, and AWS.
View DetailsI'm available for freelance work and full-time positions. Feel free to contact me for any questions or opportunities.
Lahore, Punjab, Pakistan