11/02/2026 updated
100 % available
AI/ML Engineer | Generative AI | Computer Vision | LLMs
Lahore, Pakistan
Only remote
Bachelor of Science in Computer ScienceAbout me
AI/ML Engineer with 1.5 years of experience designing and shipping production-grade Machine Learning, Deep Learning, Generative Modeling, and Agentic AI systems. Proven track record building end-to-end AI pipelines from data and model to deployment.
Artificial IntelligenceComputer VisionCloud EngineeringMachine LearningOpenCVTensorFlowAzure Machine LearningFeature EngineeringPyTorchLarge Language ModelsDeep LearningGenerative AIMachine Learning OperationsArtificial Intelligence Markup Language (AIML)Unsupervised Learning
Machine Learning & Deep Learning
Expertise in Supervised and Unsupervised Learning, Contrastive Learning, CNN, Encoder-Decoder, RNN, GANs, LSTM, and Reinforcement Learning (PPO, Q-Learning). Hands-on experience building and deploying production-grade ML and DL pipelines end-to-end.
Large Language Models & Generative AI
Proficiency in LLM Fine-Tuning (Qwen, GPT, BERT), Instruct Fine-Tuning, Quantization, RoPE, Attention Mechanisms, and Mixture-of-Experts architectures. Experience with LangChain, Hugging Face Transformers, and building Agentic AI systems.
Applied Computer Vision
Strong background in building computer vision systems including YOLO-based object detection, OCR pipelines, image skew correction, pose keypoint detection, garment masking, and virtual try-on systems using GAN and diffusion models.
Python & Bash Programming
Advanced programming skills in Python and Bash, used extensively for building AI pipelines, automation scripts, and backend services.
Frameworks & Tools
Practical experience with TensorFlow, PyTorch, Scikit-learn, FastAPI, Pandas, NumPy, OpenCV, Librosa, NLTK, Regex, and MLRunway for building and deploying machine learning solutions.
Cloud & DevOps (AWS)
Working knowledge of AWS services including SageMaker, Lambda, EC2, S3, ECS, and EKS. Experience with Docker, Git, and GitHub for containerization and version control in production environments.
Data Science & Feature Engineering
Skills in Data Cleaning, Feature Engineering, Missing Value Imputation, Vectorization, Normalization and Scaling, Dimensionality Reduction, and Tokenization for preparing datasets for model training.
Databases & Vector Search
Experience with PostgreSQL, MongoDB, MySQL, FAISS (Vector Databases), and NeonDB. Hands-on use of MongoDB Vector Search for retrieval-augmented generation applications.
Project Management & Agile
Familiarity with Git, GitHub, and Jira-Atlassian for project tracking using Scrum and Kanban methodologies in cross-functional team environments.
Expertise in Supervised and Unsupervised Learning, Contrastive Learning, CNN, Encoder-Decoder, RNN, GANs, LSTM, and Reinforcement Learning (PPO, Q-Learning). Hands-on experience building and deploying production-grade ML and DL pipelines end-to-end.
Large Language Models & Generative AI
Proficiency in LLM Fine-Tuning (Qwen, GPT, BERT), Instruct Fine-Tuning, Quantization, RoPE, Attention Mechanisms, and Mixture-of-Experts architectures. Experience with LangChain, Hugging Face Transformers, and building Agentic AI systems.
Applied Computer Vision
Strong background in building computer vision systems including YOLO-based object detection, OCR pipelines, image skew correction, pose keypoint detection, garment masking, and virtual try-on systems using GAN and diffusion models.
Python & Bash Programming
Advanced programming skills in Python and Bash, used extensively for building AI pipelines, automation scripts, and backend services.
Frameworks & Tools
Practical experience with TensorFlow, PyTorch, Scikit-learn, FastAPI, Pandas, NumPy, OpenCV, Librosa, NLTK, Regex, and MLRunway for building and deploying machine learning solutions.
Cloud & DevOps (AWS)
Working knowledge of AWS services including SageMaker, Lambda, EC2, S3, ECS, and EKS. Experience with Docker, Git, and GitHub for containerization and version control in production environments.
Data Science & Feature Engineering
Skills in Data Cleaning, Feature Engineering, Missing Value Imputation, Vectorization, Normalization and Scaling, Dimensionality Reduction, and Tokenization for preparing datasets for model training.
Databases & Vector Search
Experience with PostgreSQL, MongoDB, MySQL, FAISS (Vector Databases), and NeonDB. Hands-on use of MongoDB Vector Search for retrieval-augmented generation applications.
Project Management & Agile
Familiarity with Git, GitHub, and Jira-Atlassian for project tracking using Scrum and Kanban methodologies in cross-functional team environments.
Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
EnglishFluent
Project history
Built an Agentic 3D/4D visual-generation platform orchestrating Kimi and Gemini APIs with Amazon S3 for asset storage. Developed FastAPI backend on PostgreSQL covering authentication, AI inference serving, and database state management. Built a demand-probability prediction model using quartile-based thresholds and cyclical month features.
Led backend and AI development of a multi-agent ad-generation platform. Built agents producing ad creatives through OpenAI GPT and Runway model APIs, served via FastAPI microservices on AWS (S3/CloudFront) with PostgreSQL and JWT authentication.
Built a FastAPI chatbot backend using Gemini function calling over live store data and retrieval-augmented answers from policy documents embedded and indexed in MongoDB Vector Search. Added server-sent event streaming and per-session context with rate limiting.