AI/ML Engineer - Scraperrs Lab - Lahore, Punjab
(2025-02)
Associate AI/ML Engineer working on multiple AI/ML projects including computer vision, backend development, and AI systems.
- Worked on multiple computer vision projects, including model annotation using Roboflow, model training, testing, and evaluation.
- Developed FastAPI-based backends for inference and deployment of trained computer vision models.
- Containerized and deployed AI models using Docker, ensuring reliable and scalable integration into production environments.
- Handled client coordination and project reporting to align model performance with real-world requirements.
- Created an automated workflow on n8n for an Agentic AI system to streamline data and model operations.
- Built a conversational chatbot using OpenAI Whisper, large language models (LLMs), and in-context learning for intelligent voice and text interactions.
- Integrated NLP and computer vision solutions across two ongoing projects, combining multimodal AI capabilities for enhanced outcomes.
Trainee - Bootcamp Data Science & AI - Machine Learning 1 Limited - Lahore, Punjab
(2025-01 - 2025-02)
Trainee in data science and AI bootcamp focusing on machine learning and NLP.
- Developed and implemented machine learning models using Python libraries such as NumPy, Pandas, Scikit-learn, and SciPy.
- Performed data preprocessing for both supervised and unsupervised learning tasks, including data cleaning, feature extraction, and normalization.
- Applied Natural Language Processing (NLP) techniques, including tokenization, stemming, and vectorization, to train and optimize text-based models.
- Worked with senior data scientists to refine model performance, ensuring effective deployment and evaluation of models.
Trainee - Data Science & AI - Descon - Lahore, Punjab
(2024-10 - 2024-12)
Trainee in data science and AI with focus on machine learning, NLP, and AI under structured training.
- Worked on skills in Machine Learning, Natural Language Processing (NLP), and AI under structured training.
- Completed the Natural Language Processing with Classification and Vector Spaces course by Coursera, gaining expertise in text classification and vector space modeling.
- Completed the Generative AI with Large Language Models course by Coursera, learning about transformer architectures, prompt engineering, and fine-tuning techniques.
- Completed the Docker Mastery: with Kubernetes from a Docker Captain course by Bret Fisher on Udemy, gaining hands-on experience with containerization, orchestration, and deployment strategies.
- Worked with NLP tools such as SpaCy and NLTK to preprocess text, extract features, and build classification models.
- Enhanced SQL proficiency for efficient data querying, manipulation, and database management.
- Engaged with CS50 coursework to strengthen computer science fundamentals and problem-solving abilities.
