Summary
Ahad Shoaib is a Data Scientist with 11 years of experience building ML platforms and production forecasting models, currently focused on low-latency, large-scale systems at Jump Trading Group. Previously a lead data scientist at Salesforce, he designed and deployed time-series forecasting infrastructure used across the org and presented practical forecasting work at PyData Global and the Meta Forecasting Summit. His background spans research and production—from citation-graph analysis at EPFL and novel representation learning in undergrad research to shipping high-impact ML systems at Scribd and Petuum. Comfortable across Python, PyTorch, Spark, Airflow and Kubernetes, he bridges research rigor with engineering pragmatism to take models from proof-of-concept to resilient production. A fan of recursion, he pairs a mathematical foundation in Mathematical Finance & Computer Science with a taste for elegant, reusable solutions that scale.
11 years of coding experience
7 years of employment as a software developer
Exchange semester Mathematics and Computer Science, Exchange semester Mathematics and Computer Science at EPFL
Bachelor of Mathematics Mathematical Finance & Computer Science, Bachelor of Mathematics Mathematical Finance & Computer Science at University of Waterloo
English, Urdu, French