About

Anfal Siddiqui is a highly skilled Software Engineer with over 3.6 years of relevant experience. She is currently working as a Senior Member of Technical Staff at Salesforce, where she is responsible for making APIs more usable, discoverable, and accessible for both internal and external customers. Anfal has played a key role in several major Java projects, including delivering data exchange capabilities between Salesforce orgs and completely redesigning how DFS retrieves metadata that drives its transformational abilities. Anfal is also pursuing a Master's degree in Computer Science with a focus on Artificial Intelligence and Machine Learning at Stanford University. She has been involved in Natural Language Processing (NLP) projects, both at Stanford and Salesforce Research. Recently, she has co-founded a mental health startup in Stanford's Spring 2022 Lean Launchpad cohort and is heavily involved in the VC community at Stanford through Pear Garage. Anfal is passionate about software engineering and entrepreneurship. She thrives on facing challenging projects that require her to deep-dive into new technology, design a product/feature from scratch, and talk with customers to understand their true pains and how she can solve them. Her specialties are in Java, Python, PyTorch, Hugging Face Transformers, Numpy, SQL, Docker, Kubernetes, Microservices, Sprint Boot, and Maven. Anfal graduated with a degree in Computer Science with Highest Distinction from UC Berkeley and is an inducted member of Phi Beta Kappa. She has also worked as an NLP Research Engineer at Salesforce Research, focused specifically on multilingual neural machine translation for Salesforce Localization team efforts. Anfal's education history includes a Master of Science in Computer Science from Stanford University and a Bachelor's Degree, Highest Distinction in Computer Science from the University of California, Berkeley. She also attended Irvington High School. Anfal's tech stack includes Salesforce, AI, Software Engineer, Research Scientist, NLP, SQL, Spring, Web, Java, Pytorch, Kubernetes, Docker, ML, Microservices, and Python.