Apr 2024 – Present · 1 yr 11 mos

• Advise research projects in NLP, Vision, Speech, and Multimodal AI.
• Published research in leading AI venues such as ACL, EMNLP, AAAI, EACL, ECML, WACV, ICASSP, etc.

Oct 2023 – Aug 2025 · 1 yr 10 mos · San Francisco Bay Area

• Responsible for building, evaluating, and deploying LLM pipelines for diverse use-cases for AWS Cloud.
• Managed a team of Applied and Data Scientists, Cloud Architects, and Managers responsible for GenAI models and infrastructure.

Feb 2023 – May 2024 · 1 yr 3 mos

• Advised research projects in NLP, Vision, Speech, and Multimodal AI.
• Published research in leading AI venues.

Oct 2022 – Apr 2025 · 2 yrs 6 mos

• Advised research projects in NLP, Vision, Speech, and Multimodal AI.
• Published research in top AI venues such as ACL, EMNLP, AAAI, EACL, ECML, WACV, ICASSP, etc.
• Guest lectures on various topics in GenAI: https://www.youtube.com/@amanchadha

May 2022 – Oct 2023 · 1 yr 5 mos · Sunnyvale, California, United States

• Managed a team of Applied and Data Scientists responsible for model development and evaluation (both offline and online) for Speaker/Query Understanding and Personalization.
• Architected AI/ML pipelines that power on-device and cloud features at scale across locales worldwide.

Mar 2018 – May 2022 · 4 yrs 2 mos · San Francisco Bay Area

• Trained ML models for a wide range of applications including NLP, Speech, and Vision, to enable intelligent experiences on Apple devices.
• Proposed and prototyped novel deep learning architectures that achieve state-of-the-art performance.
• Designed privacy-preserving on-device ML models by implementing model compression techniques.
• Presented data and analysis to executives and cross-functional teams.

Aug 2016 – Mar 2020 · 3 yrs 7 mos · San Francisco Bay Area

• Responsible for the training, deployment, and performance optimization of ML models aimed at the Neural Engine in the M1 "Apple Silicon" Macs.
• Developed ML-based performance projection models to architect product roadmap for Macs by estimating performance of next-generation systems years in advance.
• Owned the development of a data analysis and visualization tool used regularly by the team's engineers for model debugging and monitoring.
• Engaged with technical and non-technical partner teams across AI, Software, Product Management, and Legal.

Jun 2014 – Aug 2016 · 2 yrs 2 mos · Greater San Diego Area

• Developed infrastructure for deployment of ML models for the Qualcomm AI Engine.
• Co-authored a stress-testing framework that identified bugs during validation of NLP, Vision, and Speech workloads.

May 2013 – Aug 2013 · 3 mos · Greater San Diego Area

• Developed drivers in C for the camera pipeline.
• Wrote unit and system tests with randomized control and data signals to verify functionality.
• Developed shell scripts to automate routine tasks.

Aug 2013 – Jan 2014 · 5 mos · Santa Clara

• Developed Python-based infrastructure to estimate performance for ML workloads for next-generation GPUs.
• Profiled the tool to identify bottlenecks and optimized portions of the tool's code to quicken up response time
• Developed a Python-based flow that run nightly regressions, parsed and tabulated results as an HTML report, flagged anomalies in the regression runs, and sent out a daily report.
• Developed a MongoDB backend which supported create, read, update and delete operations on the tool's results.

Jan 2013 – May 2013 · 4 mos

• • Developed web content for the Distance Education Professional Development (DEPD) program at the Division of Continuing Studies, UW-Madison

Jan 2013 – May 2013 · 4 mos

• • Hardware development using Verilog for the Compact Muon Solenoid (CMS) experiment for the Large Hadron Collider (LHC) at CERN

Sep 2012 – Dec 2012 · 3 mos

• TA for ECE 315 (Introductory Microprocessor Laboratory) and ECE 353 (Introduction to Microprocessor Systems).
• Lectured on the subject matter and developed programming assignments for ARM7/Cortex M3.

Aug 2011 – Sep 2012 · 1 yr 1 mo · India

• Investigated topics under the domain of biometrics including Face Detection & Recognition, Signature Verification, Voice Recognition and Security of Biometric Templates.
• Published research results at various international venues.

Aug 2011 – Dec 2011 · 4 mos · India

• Conducted lab-sessions on “Microprocessor and Microcontrollers” and “Introduction to C++ Programming”.
• Conducted a workshop on “Image Processing using MATLAB”.

Jul 2011 – Jan 2012 · 6 mos · India

• Research staff at Sardar Patel Institute of Technology, under Prof. (Dr.) Y. S. Rao, involved in the development of a state-funded research project titled ‘Portable Patient Monitoring System’: an integrated system that aims at providing patient identification, monitoring of abnormal body conditions, tracking, rescue and response to deal with life-threatening emergencies.
• The project involved processing of body signals and monitoring of body weight, blood pressure and pulse oximetry to identify critical body conditions and generate alert triggers that could be transmitted to a monitoring station in case of an abnormality.
• As part of the research team, my role in this project was to accomplish the processing of body signals such as ECG, to aid the detection and diagnosis of cardiac abnormalities.