Sudesh Kumar Email & Phone Number
Machine Learning Engineer @ Apple
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Sudesh Kumar Location
- Cupertino, CA, US
Sudesh Kumar Work
- Machine Learning Engineer @ (December 2025 - Present)
- MLE II @ (October 2025 - December 2025)
- Machine Learning Engineer @ (June 2024 - September 2025)
- Data Science Intern @ (June 2023 - May 2024)
- Teaching Assistant @ (January 2023 - May 2023)
- CKIDS Student Researcher @ (January 2023 - April 2023)
- Machine Learning Research Intern @ (November 2020 - November 2021)
Sudesh Kumar Education
- University of Southern California
Masters in Electrical and Computer Engineering (Machine Learning and Data Science)
2022-2024 - Anna University Chennai
Bachelor's degree (Electrical, Electronics and Communications Engineering)
2017-2021 - Velammal Global School
HSC
2016-2017 - Velammal Global School
SSLC (Mathematics)
2014-2015
Sudesh Kumar Skills
- AT89S52 Micro Controller
- ATMEGA 16
- AWS Lambda
- AWS SageMaker
- Amazon EC2
- Amazon Web Services (AWS)
- Apache Solr
- Arduino IDE
- Atmel AVR
- Automation
- BERT (Language Model)
- BM25
- Convolutional Neural Networks (CNN)
- Data Science
- Deep Learning
- Docker
- Embedded C
- FastAPI
- Fine-Tuning
- Git
- Information Retrieval
- Internet of Things (IoT)
- Jenkins
- Large Language Models (LLM)
- Lexical Search
- LoRa
- Machine Learning
- Multithreading
- NLTK
- Natural Language Processing (NLP)
- OpenSearch
- Pandas
- Public Speaking
- PyTorch
- Python (Programming Language)
- Raspberry Pi
- Research
- Retrieval-Augmented Generation (RAG)
- Scikit-Learn
- Seaborn
- Search and retrieval
- Semantic Search
- Semaphore
- Text Classification
- Transformer
- beautifulsoup
Sudesh Kumar Summary
- Sudesh Kumar, based in Cupertino, CA, US, is currently a Machine Learning Engineer at Apple. Sudesh Kumar brings experience from previous roles at LexisNexis Legal and USC Viterbi School of Engineering. Sudesh Kumar holds a 2022 - 2024 Masters in Electrical and Computer Engineering in Machine Learning and Data Science @ University of Southern California. With a robust skill set that includes AT89S52 Micro Controller, ATMEGA 16, AWS Lambda, AWS SageMaker, Amazon EC2 and more.
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