ML @ Hugging Face
Senior machine learning engineer with 5+ years of experience in machine learning (ML) engineering and the design and implementation of software systems around data collection and ML model deployment. Experienced in all stages of ML engineering, including research and prototyping of new methods, ML implementation in TensorFlow and PyTorch, testing and validation of ML systems, as well as communication of results to stakeholders. Strong background in leading interdisciplinary machine learning teams.
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● Lead a full stack engineering team (back end, front end, deep end aka ML) building Gradio (www.gradio.app), the open-source platform for rapidly building machine learning applications

Founded the Fatima Fellowship, a free 9-month international program to prepare PhD applicants from around the world for admissions into top computer science / machine learning PhD programs

● Founded a venture-backed company that allows machine learning developers to quickly create web applications from their ML models for easy demoing & debugging ● Led interdisciplinary team of 8 ML developers & technical writers to develop open-source tools used by 18,000+ ML engineers including teams at Cisco, Google, & Amazon ● Roadmapped, prototyped, & implemented key features for the Gradio software that has been used to create 400,000+ ML apps

● Built ML models to predict immune cell type based on integrated genomics and proteomics data, as part of a quality control pipeline that achieved 85% accuracy at predicting 25 cell subtypes ● Built a feature selection pipeline using self-normalizing deep networks to reduce the number of genes that needed to be sequenced by 95% while keeping most of the genomic signal

● One of the early testers and users of Two Sigma’s ML development platform, AlphaStudio ● Developed novel methods to impute missing values in financial time-series datasets and implemented them on large-scale asset pricing data, reducing pricing prediction errors

● Research area: building reliable deep learning models, with applications to biology and medicine ● Published 21 peer-reviewed papers in top conferences (ICML, NeurIPS) & journals (Nature): https://scholar.google.com/citations?user=8slGl3oAAAAJ&hl=en&oi=ao ● GRE Verbal: 170 / 170, Quantitative: 170 / 170, ● Awards: PD Soros Fellowship (awarded to 30 graduate students across United States), Stanford Graduate Fellowship (awarded to top 10% of PhD students at Stanford)

● Simulation and design of 16-element high-power phased array system for wireless charging ● Construction of control circuitry for phased array system
Working with fellow students at MIT and clinicians at Boston Medical Center, I developed a functioning prototype for breathing sensor for patients with tracheostomies. My specific role was to analyze pulmonary signals and design algorithms to detect patients suffering from partial or complete blockage. Also supervised operations and logistics for the team.
With partners from Harvard and UCLA, started a company to develop an extensive financial web platform for non-profit management. Developed both the web and android application for mosque management and announcements. Also supervised the logistics and finances of the company.
Verghese Clinical Inference Group
Building mechanistic models to better understand lung pathophysiology
Building a reconfigurable probe for better long-term brain-machine interfaces.
Constructed data loggers and designed a solar array system to be installed in summer of 2013 in the Ecuadorean rainforest; guided the development of an entire solar-powered boat network.

Georgia Institute of Technology
Fabricating photonics-based biosensors with efficient delivery of reagents and analytes to resonator surfaces. (Building efficient sensors to detect toxins in water!)

As part of a project team, worked full-time to develop mathematical tools to harvest data from a next-generation hemostasis product; designed algorithms for complex data analysis.

Currently exploring the role of non-coding mRNA sequences in cancer metastasis

National Academic Quiz Tournaments

Helped start an E-learning company that revolutionized test prep by offering automated, yet personalized tutoring to individual students.
Investigated the role of the CXCR4 receptor in the epithelial-mesenchymal transition
Grade: 5.0 / 5.0 Carried out research on wireless charging and data transmission for medical devices. Supervised by Giovanni Traverso and Bob Langer, I developed a wireless system for ingestive gastric resident devices and tested it in live animals.
Grade: 4.9/5.0 Activities and societies: Solar Electric Vehicle Team, International Genetically Engineered Machine, Educational Services Program, Muslim Students Association, Academic Recruiting Group Webmaster and electrical engineer for MIT Solar Electric Vehicle Team, working on a finite element analysis of the car that will race in the 2013 World Solar Challenge in Australia Taught a class on cellular automata for local (and out of state) high school students Independently devising an algorithm for reconstructing corrupted images using cellular automata, and researching the involvement of non-coding mRNA strands in cancer metastasis at the Whitehead Institute
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