Devansh Shah

AI Researcher

San Francisco, California, United States7 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Natural Language Processing.
Proven track record in developing innovative AI solutions.
Strong academic background from top institutions.

Stackforce AI infers this person is a Machine Learning Engineer specializing in NLP and AI solutions for SaaS applications.

Contact

Skills

Core Skills

Natural Language ProcessingMachine LearningLarge Language Models (llm)ResearchData Science

Other Skills

Mathematical ModelingMathematicsProblem SolvingDeep LearningOnnxAWS LambdaAmazon S3KerasElasticsearchPython (Programming Language)AWS SageMakerTensorFlowPyTorchSoftware DevelopmentCommunication

About

I am an ML Engineer in the NLP Input Experience team at Apple. I previously spent 3 years as an Applied Scientist at AWS working with the Chime Audio Science Team and Amazon Q for Business. I have completed my Masters in Computer Science, with a specialization in Machine Learning from University of Illinois, Urbana Champaign. I graduated with a B.Tech in Computer Science and Engineering from Indian Institute of Technology, Bombay. I am broadly interested in Machine Learning and Systems. My research interests are in Distributed Systems, Large Language Models, Generative-AI, Natural Language Processing, Federated Learning, Secure Machine Learning, Computer Vision.

Experience

7 yrs 7 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 11 mos

Current Experience

Apple

NLP Research Engineer

Jun 2024 – Present · 1 yr 11 mos · Cupertino, California, United States · On-site

NLP Research Engineer in the Input Experience team at Apple
On-device Apple Intelligence

Natural Language ProcessingMachine Learning

Amazon web services (aws)

Applied Scientist

Jul 2021 – May 2024 · 2 yrs 10 mos · San Francisco Bay Area

I am an Applied Scientist in the Amazon Chime Team at AWS. My current role is a blend of software engineering and Machine Learning research in the domain of audio-video applications for Amazon's video-conferencing tool.
I have worked on leveraging Large Language Models (LLMs) for Real-time text summarization for call recording transcripts. We developed metrics for information completeness and correctness to evaluate quality of generated summaries

Machine LearningMathematical ModelingMathematicsProblem SolvingDeep LearningOnnx+15

University of illinois at urbana-champaign

4 roles

Graduate Research Assistant

Promoted

Aug 2020 – May 2021 · 9 mos

Graduate Research Assistant in Secure Learning Lab with Prof. Bo Li
Collaborated with IBM Research at Center for Cognitive Computing Systems Research (C3SR)

Mathematical ModelingMathematicsProblem SolvingResearchData ScienceTensorFlow+1

Graduate Teaching Assistant

Aug 2020 – Jan 2021 · 5 mos

Course : Artificial Intelligence

MathematicsProblem SolvingData ScienceCommunication

Graduate Teaching Assistant

Jan 2020 – Jun 2020 · 5 mos

Course : Discrete Structures

MathematicsCommunication

Graduate Teaching Assistant

Aug 2019 – Dec 2019 · 4 mos

Course : Artificial Intelligence

MathematicsCommunication

Ibm

AI Engineer - Deep Learning Platform

Jun 2020 – May 2021 · 11 mos · New York, United States

Mathematical ModelingMathematicsProblem SolvingResearchData ScienceTensorFlow+2

Indian institute of technology, bombay

2 roles

Teaching Assistant

Jan 2019 – May 2019 · 4 mos · Mumbai Metropolitan Region

Course: Computer Programming and Utilization
Assisting Prof. Ganesh Ramakrishnan in evaluation of papers and in clearing difficulties faced by freshmen students in the lab

MathematicsCommunication

Teaching Assistant

Jul 2018 – Nov 2018 · 4 mos · Mumbai Metropolitan Region

Course: Data Analysis and Interpretation
Assisted Prof. Suyash Awate in course evaluation and helped students with basic concepts of the subject.

Communication

Cse iit bombay

Department Academic Mentor

May 2018 – May 2019 · 1 yr

Selected in a 20-member team in the Department Academic Mentorship program for Computer Science department.
Responsible for guiding a group of 7 students with their academics and curriculum

MathematicsCommunication

Goldman sachs

Summer Analyst

May 2018 – Jul 2018 · 2 mos · Greater Bengaluru Area

1. Developed a framework for automatic detection of data inconsistencies in Primary and Private Equity Market Data. This achieved substantial speed up over the manual error detection and correction process used earlier
2. Worked on a Portfolio Manager tool for comparing the performance of different portfolios over a horizon
3. Received a Pre-Placement Offer in appreciation of my exemplary work during the internship

Communication

Purdue university

Research Intern

May 2017 – Jul 2017 · 2 mos · Lafayette, Indiana Metropolitan Area

1. Studied b-Suitor, a half approximation algorithm to compute maximum weight b-Matching
2. Successfully integrated the b-Suitor algorithm to semi-supervised multiclass text-classification problem
3. Demonstrated that b-Matching outperforms conventional graph sparsification techniques like
K-Nearest Neighbours(roughly 15% increase in accuracy) in the domain of graph-based learning procedures
4. Compared performance of Gaussian Random field technique against transductive semi-supervised learning methods

Data Science