Hwanmun Kim Email & Phone Number
@soundhound.com
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Who is Hwanmun Kim? Overview
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Hwanmun Kim is listed as Software Engineer at Meta, a with 136862 employees, based in Sunnyvale, California, United States. AeroLeads shows a work email signal at soundhound.com and a matched LinkedIn profile for Hwanmun Kim.
Hwanmun Kim previously worked as Machine Learning Research Engineer at Saama and Machine Learning Engineer at Soundhound Inc.. Hwanmun Kim holds Doctor Of Philosophy - Phd, Physics from University Of Maryland.
Email format at Meta
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About Hwanmun Kim
ML research engineer/scientist with a strong mathematical background and hands-on ML research experience of 3 years in the domain of speech recognition and natural language processing. Have wide experience ranging from deploying ML models in products to publishing original ML research papers.
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Hwanmun Kim work experience
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Role listed
Machine Learning Research Engineer
1. Developed LLM-based NL-to-SQL system- Developed a NL-to-SQL system based on few-shot prompts composed of systematically sampled examples- Achieved performance comparable to leading fine-tuning based systems in CoSQL benchmark using GPT3.5-turbo- Wrote and submitted a research paper to ACL conferences- Adapted developed system to SQL queries on clinical DB for potential application in products2. Developed LLM-based natural language inference (NLI) system for clinical trials- Designed a new NLI system composed of multiple modules using both of few-shot prompting and fine-tuned mistral model- Developed training and evaluation pipelines for the devised system- Trained the model and submitted the system to SemEval 2024 Task 2 challenge- Wrote a system paper for the challenge submission and got accepted for the corresponding ACL workshop3. Developed LLM-based lay summarization system for biomedical articles- Developed training and evaluation pipelines to experiment different fine-tuning approaches to develop summarization system targeting biomedical articles- Trained lay summarization models and submitted the models to BioLaySumm 2024 challenge, achieved the 3rd place overall in the final leaderboard- Wrote and submitted system paper for the challenge and got accepted for the corresponding ACL workshop4. Improving embedding model for biomedical documents for application in products- Generated synthetic data to train the embedding model using open-sourced biomedical documents and LLM-based prompting- Performed a case study to compare different querying methods using vector DB- Demonstrated proof-of-concept experiment of the latest embedding dimension reduction method
Machine Learning Engineer
1. Developed speech processing models using ML techniques: - Developed language classification models & emotion recognition models. - Examined and cleaned datasets & set relevant evaluation metrics. - Implemented PyTorch classification models with LSTM, CNN, and self-attention architectures. - Implemented pipelines for data preprocessing, training, and evaluation. - Trained models and provided a prototype for the business development team.2. Improved Korean automatic speech recognition (ASR) models: - Trained Korean ASR models to improve the models used in company products. - Delivered a CTC-trained acoustic model for the business team.3. Improved voice morphing system: - Implemented evaluation pipeline and evaluated the performance of a pre-trained baseline model. - Replaced speaker embedding model with a model pre-trained for speaker verification.
Graduate Research Assistant
1. Led multiple physics research projects in the cross-institutional team setting.2. Published research papers in top-tier journals and presented in conferences.3. Proposed experiments and validated the proposals with scientific computations and simulations: - Extensively used MATLAB, Python, C++ for the computations and simulations. - Visualized experiment schemes and computation results with MATLAB, Mathematica, Python. - Run computations in parallel on the high-performing computing cluster.
Graduate Teaching Assistant
- Worked for Aug 2011-May 2012, Aug 2014-Dec 2014
Machine Learning Intern
Staff Sergeant
- Mandatory military service in South Korea.- Worked as a meteorological observer.
Colleagues at Meta
Other employees you can reach at metadownhole.com. View company contacts for 136862 employees →
Vighnesh H Y
Colleague at MetaBengaluru, Karnataka, India
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FR
Felix Ramirez
Colleague at MetaVeracruz, Mexico
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EP
Elissa Peterson
Colleague at MetaLangley, British Columbia, Canada
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AA
Ahad Ali
Colleague at MetaGreater Orlando, United States
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BB
Betty B
Colleague at MetaVancouver, Washington, United States
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GB
Gabriel Bruno
Colleague at MetaSão Paulo, Brazil
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LF
Lea Fischer
Colleague at MetaSan Diego, California, United States
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Ruizhe Zheng
Colleague at MetaMountain View, California, United States
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FM
Faryal Mansoor
Colleague at MetaWashington Dc-Baltimore Area, United States
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JH
Jan Hadari
Colleague at MetaPrague Metropolitan Area, Czech Republic
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Hwanmun Kim education
Doctor Of Philosophy - Phd, Physics
Bachelor Of Science - Bs, Physics
Frequently asked questions about Hwanmun Kim
Quick answers generated from the profile data available on this page.
What company does Hwanmun Kim work for?
Hwanmun Kim works for Meta.
What is Hwanmun Kim's role at Meta?
Hwanmun Kim is listed as Software Engineer at Meta.
What is Hwanmun Kim's email address?
AeroLeads has found 1 work email signal at @soundhound.com for Hwanmun Kim at Meta.
Where is Hwanmun Kim based?
Hwanmun Kim is based in Sunnyvale, California, United States while working with Meta.
What companies has Hwanmun Kim worked for?
Hwanmun Kim has worked for Meta, Delart @ Meta, Saama, Soundhound Inc., and University Of Maryland.
Who are Hwanmun Kim's colleagues at Meta?
Hwanmun Kim's colleagues at Meta include Vighnesh H Y, Felix Ramirez, Elissa Peterson, Ahad Ali, and Betty B.
How can I contact Hwanmun Kim?
You can use AeroLeads to view verified contact signals for Hwanmun Kim at Meta, including work email, phone, and LinkedIn data when available.
What schools did Hwanmun Kim attend?
Hwanmun Kim holds Doctor Of Philosophy - Phd, Physics from University Of Maryland.
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