Personal details
Muhammad S.
Summary
ABOUT ME
As a seasoned AI/ML engineer with over 9 years of dedicated experience, I specialize in the entire spectrum of AI SaaS product development. My recent focus lies in the advancement of Generative AI and Large Language Models, leveraging from vector databases to optimize content accuracy for superior user engagement.
Over the course of my career, I have engaged with a diverse array of companies, navigating complex challenges and delivering tangible results through the completion of 80Ö¡ innovative projects. My portfolio encompasses a breadth of industries including Retail, Media, Sports, Security, and Health Care, showcasing a consistent ability to translate visionary concepts into impactful, market leading solutions.
ACHIEVEMENTS
- Ranked in the Top 1% and handpicked to be featured at Upwork's exclusive enterprise event.
- Played a part in the journey to industry acclaim, earning trust from top brands including P&G, Nvidia, and AT&S. Featured at Adobe, HubSpot, and beyond!
- Achieved top honors with both "Best Student" and "Best Final Year Project" awards from the University of Bradford, UK, for excelling in my degree and capstone project.
EXPERTISE:
- Scripting & Languages: Python, C, C++, Matlab, R, Bash
- Tools: OpenCV, OpenVino, Numpy, Pandas, Spacy, Gensim, Transformers, NLTK, CoreNLP, Other
- Deep Learning frameworks: Torch / PyTorch, Tensorflow, CUDA/CuDNN GPU Accelerations
- LLMs Platforms & Frameworks: LangChain, OpenAI, Anthropic, Cohere and more
- Vector Databases: Pinecone, Chroma, Milvus, Superbase, PgVector
- Restful APIs: with Flask, Fast, Nginx, Gunicorn, Locust
- Cloud Platforms: Google Cloud (Compute, GCS), Paperspace, AWS (EC2, S3), Azure
- Deploy models at scale: optimize your cloud cost with Replicate, Salad, Modal.com
- Hardware: CPU, GPU/Multi-GPU, TPU, Raspberry PI 4, Coral Dev Board, Nvidia Jetsen TX2 & others
- Edge Accelerators: Coral Accelerator, Intel Movidius Neural Stick
- OS: Linux, Windows, MacOS; Containers: Kubernetes, Docker
CERTIFICATIONS
- Generative AI with Large Language Models - DeepLearning.AI & AWS
- Machine Learning – Stanford University
- Data Science – R Programming
Work Experience
Generative AI Engineer, OpenAI / LLM
URL: https://eternal.ai/capsule
Interact with historical figures through lifelike AI emulations. A digital platform dedicated to preserving someone's personality with interactive, high-fidelity digital versions of themselves.
- Develop and refine AI models for emulating historical figures using advanced generative architectures.
- Collect, preprocess, and clean historical datasets for model training, ensuring accuracy and consistency.
- Integrate and deploy AI models on the cloud platforms, focusing on scalability, stability, and user engagement.