Arslan Javed

Background

About Arslan Javed

With over six years of experience as a Senior Cloud Machine Learning Engineer, I have had the opportunity to lead and deliver high-impact projects from ideation to production. My expertise spans large language models, AWS, Terraform for infrastructure as code, and serverless computing to deliver resilient, secure, and high-performance applications. I have a strong foundation in Python for data pipelines and low-latency transformations, and I excel in managing CI/CD pipelines, using both GitLab and GitHub Actions, ensuring seamless deployment. I have fine-tuned large language models (LLMs) like LLaMA3 and deployed them across AWS, GCP, and Azure, creating scalable, low-latency solutions. I have also developed custom ML-driven applications for stock market analysis and led the creation of a Named Entity Recognition (NER) system for medical text using transformer models. My expertise covers deep learning, natural language processing (NLP), and computer vision. I have optimized machine learning models, boosting performance by 25% through continuous experimentation and fine-tuning. In addition to leading cutting-edge research, I have mentored junior engineers, ensuring the delivery of high-quality code and innovative solutions. I am highly proficient in version control systems like Git, microservices architecture, and containerization with Docker, which ensure scalable and efficient applications. I am passionate about exploring emerging technologies, staying up-to-date with the latest industry trends, and contributing to open-source projects. I also take pride in mentoring the next generation of engineers and helping them grow in their careers.