Aditya Malte Email & Phone Number
@usc.edu
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Who is Aditya Malte? Overview
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Aditya Malte is listed as Machine Learning Software Engineer at NVIDIA, a company with 41500 employees, based in San Jose, California, United States. AeroLeads shows a work email signal at usc.edu and a matched LinkedIn profile for Aditya Malte.
Aditya Malte previously worked as Deep Learning Software Engineer at Nvidia and Software Engineer Intern at Tarana Wireless, Inc.. Aditya Malte holds Master Of Science - Ms, Computer Science from University Of Southern California.
Email format at NVIDIA
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AeroLeads found 1 current-domain work email signal for Aditya Malte. Compare company email patterns before reaching out.
About Aditya Malte
A skilled AI/ML Software Engineering , I have deep experience in Machine Learning , Natural Language Processing and Software Engineering through various projects, research and internships. Furthermore, I have a strong mathematical foundation in linear algebra, calculus and statistics with experience in software development. A passionate open-source contributor, I enjoy helping the research and development community.
Listed skills include Artificial Neural Networks, Scikit Learn, Public Speaking, User Modeling, and 47 others.
Aditya Malte's current company
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Aditya Malte work experience
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Deep Learning Software Engineer
CurrentWorking on LLMs, Synthetic Data, Nemo and Information Retrieval
Software Engineer Intern
Graduate Teaching Assistant
Ai Software Intern
- Built an industry-competent NLP solution for IR/QA using Python/PyTorch, Transformers, HayStack, Elasticsearch, et al.
- Prospective cost savings of over $400,000 throughout NVIDIA by replacing vendor provided IR/QA served as a REST API
- Demo’ed in ’CBS 60 Minutes’ interview with VP, NVIDIA, and in TJ demo at the upcoming NVIDIA GTC 2022
- Received top-tier internship ratings for my work and impact
Machine Learning Engineer
- Single-handedly overhauled the core ML & NLP algorithms that power over 1M+ candidates and 20K+ jobs on the platform
- Improved product efficiency by over 45% and quality of candidate discovery through ML
- Employed ML algorithms including BERT, Neural Search, Information Retrieval and topic modeling techniques
- Reduced CSD review time by over 50% by training Resume Competence model, eventually moved to full AI automation
- Spearheaded solution design to deployment from scratch and used Python, Pytorch, Docker, AWS/GCP, HuggingFace,Flask/FastAPI among others
Project Intern
Applied private AI to critical domains such as Healthcare under the guidance of Dr. Bhushan Garware.BE (final year) project sponsored by Persistent Labs.
Intern
− Combined Data from various sources such as Google Analytics, Data Warehouse, etc. to build an expansive Dashboard using tools such as Plotly, JAVA, Python, Tableau for in-depth analysis − Worked on User Modeling and Trend Analysis to improve the user engagement − Implemented a Hybrid Recommendation System that generated recommendations based on various.
Research Assistant(Dr. S.S. Sonawane)
Created effective Distributed Representation of Code-Mixed Text under the mentorship of Dr. S.S. Sonawane. Achieved state-of-the-art performance on a benchmark dataset using a much lighter and interpretable model. Research Paper presented at the 16th IEEE India Council International Conference (IndiCon) 2019.
Research Assistant(Dr. D.T. Mane)
Worked under the guidance of Dr. D.T. Mane in the domain of Educational Data Mining to analyze student performance and detect outliers (Weak/Strong Learners) in the blended course androgogy.Additionally, recommend content based on student's possible interest.
Colleagues at NVIDIA
Other employees you can reach at nvidia.com. View company contacts for 41500 employees →
Satya Rajagopalan
Colleague at Nvidia
Bothell, Washington, United States, United States
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JC
Josephine Chang, Mba
Colleague at Nvidia
Sunnyvale, California, United States, United States
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PK
Pratyush Kumar Padhi
Colleague at Nvidia
Bengaluru, Karnataka, India, India
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DT
Derek Tzeng
Colleague at Nvidia
Fremont, California, United States, United States
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MA
Maria Athelogou Dr. Rer. Nat., Dipl. Physicist
Colleague at Nvidia
Greater Munich Metropolitan Area, Germany
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AR
Anton Riabichenko
Colleague at Nvidia
Biel, Berne, Switzerland, Switzerland
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TA
Tord Andersson
Colleague at Nvidia
Kungsbacka, Halland County, Sweden, Sweden
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刘
刘明康
Colleague at Nvidia
Chaoyang District, Beijing, China, China
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AC
Austin C.
Colleague at Nvidia
Hsinchu City, Taiwan, Taiwan, Taiwan, Province Of China
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MM
Mark Maizles
Colleague at Nvidia
Israel, Israel
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Aditya Malte education
Master Of Science - Ms, Computer Science
Bachelor'S Degree, Computer Engineering
Frequently asked questions about Aditya Malte
Quick answers generated from the profile data available on this page.
What company does Aditya Malte work for?
Aditya Malte works for NVIDIA.
What is Aditya Malte's role at NVIDIA?
Aditya Malte is listed as Machine Learning Software Engineer at NVIDIA.
What is Aditya Malte's email address?
AeroLeads has found 1 work email signal at @usc.edu for Aditya Malte at NVIDIA.
Where is Aditya Malte based?
Aditya Malte is based in San Jose, California, United States while working with NVIDIA.
What companies has Aditya Malte worked for?
Aditya Malte has worked for Nvidia, Tarana Wireless, Inc., Usc Viterbi School Of Engineering, Cutshort, and Persistent Systems.
Who are Aditya Malte's colleagues at NVIDIA?
Aditya Malte's colleagues at NVIDIA include Satya Rajagopalan, Josephine Chang, Mba, Pratyush Kumar Padhi, Derek Tzeng, and Maria Athelogou Dr. Rer. Nat., Dipl. Physicist.
How can I contact Aditya Malte?
You can use AeroLeads to view verified contact signals for Aditya Malte at NVIDIA, including work email, phone, and LinkedIn data when available.
What schools did Aditya Malte attend?
Aditya Malte holds Master Of Science - Ms, Computer Science from University Of Southern California.
What skills is Aditya Malte known for?
Aditya Malte is listed with skills including Artificial Neural Networks, Scikit Learn, Public Speaking, User Modeling, Data Science, Java Database Connectivity, Algorithms, and Jquery.
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