Summary
Anshul Wadhawan is a Machine Learning Engineer at Bloomberg in New York with eight years of experience building production speech systems and large-scale ML pipelines. He holds an MS in Computer and Information Science from UPenn, where he worked on simultaneous speech-to-speech translation, and has driven ASR improvements across Flipkart and Bloomberg that materially reduced WER and sped up evaluation by over 3x. At Quora he independently designed a high-impact pipeline using LSH that automated mass bans of coordinated upvoting rings while keeping false positives low, and he has a track record of deploying research models (NVIDIA Parakeet, T5 for ITN) into production. Comfortable across modeling, data engineering, and Kubernetes-based deployments, he combines research-grade methods with pragmatic optimizations—such as using unlabeled audio to cut labeled-data needs by ~70%—to solve real-world speech and abuse-detection problems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Netaji Subhas Institute of Technology
Master of Science - MS, Computer and Information Science, Master of Science - MS, Computer and Information Science at University of Pennsylvania
English, Hindi, French