Rishabh T.
Engineering Lead , Deep Learning/Compound AI Systems @Qualcomm
- Role
- Staff Engineer (Compound Ai) at Qualcomm
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Rishabh T.
EdgeAI @Qualcomm - Ultrasound Fingerprint Technology. Developing ML Systems and Algorithms
Experience
Staff Engineer (Compound Ai)
Dec 2024 — Present · Hyderabad, IN
I\'m a Deep Learning (DL) researcher and AI engineer specializing in cutting-edge applications like ultrasound fingerprint anti-spoofing and advanced image processing systems. My expertise includes on-device inference, model optimizations, quantization networks, and knowledge distillation, enabling efficient AI deployment at the edge.Separately, I have extensive experience with Large Language Models (LLMs) and Small Language Models (SLMs), including advanced tuning, Retrieval-Augmented Generation (RAG) systems, and Model Context Protocols (MCPs). These skills allow me to develop high-performance AI solutions tailored for various domains.My work has powered edge models deployed on over 100 million devices worldwide, handling more than a billion inferences per day. Passionate about advancing AI through innovative model integrations and edge computing, I\'m always exploring ways to optimize for speed, accuracy, and resource efficiency. Let\'s connect if you\'re tackling challenging AI projects or need expertise in LLMs, SLMs, and beyond!\"
Education
Indian Institute of Technology, Roorkee
Bachelor of Technology (B.Tech.)
2013 — 2017
Kendriya Vidyalaya
All India Senior School Certificate, Mathematics and Computer Science
2004 — 2012
Skills
- Java
- Matlab
- Web Development
- C++
- Javascript
- Market Research
- Microsoft Excel
- Data Science
- Public Speaking
- C
- Machine Learning
- R
- Data Structures
- Deep Learning
- Python
- Data Analysis
- Django
- Team Management
- Group Discussions
- Algorithms
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