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Aditya Malte Email & Phone Number

Machine Learning Software Engineer at NVIDIA
Location: San Jose, California, United States 10 work roles 2 schools
1 work email found @usc.edu LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email m****@usc.edu
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Current company
Role
Machine Learning Software Engineer
Location
San Jose, California, United States
Company size

Who is Aditya Malte? Overview

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Quick answer

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.

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Email format at NVIDIA

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{last}@usc.edu
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Profile bio

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.

Current workplace

Aditya Malte's current company

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NVIDIA
Nvidia
Machine Learning Software Engineer
San Jose, CA, US
Website
Employees
41500
AeroLeads page
10 roles

Aditya Malte work experience

A career timeline built from the work history available for this profile.

Machine Learning Software Engineer

San Jose, CA, US

Deep Learning Software Engineer

Current

Santa Clara, CA, US

Working on LLMs, Synthetic Data, Nemo and Information Retrieval

Jun 2023 - Present

Ai Software Intern

Santa Clara, CA, US

  • 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
May 2022 - Aug 2022

Machine Learning Engineer

Pune, Maharashtra, IN

  • 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
May 2020 - Jul 2021

Project Intern

Pune, Maharashtra, IN

Applied private AI to critical domains such as Healthcare under the guidance of Dr. Bhushan Garware.BE (final year) project sponsored by Persistent Labs.

Aug 2019 - May 2020

Intern

Vélizy-Villacoublay, FR

− 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.

Jul 2019 - Apr 2020

Research Assistant(Dr. S.S. Sonawane)

Pune, Maharashtra, IN

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.

Jul 2019 - Sep 2019

Research Assistant(Dr. D.T. Mane)

Pune, Maharashtra, IN

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.

Aug 2018 - Oct 2018
Team & coworkers

Colleagues at NVIDIA

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2 education records

Aditya Malte education

Master Of Science - Ms, Computer Science

University Of Southern California

Bachelor'S Degree, Computer Engineering

Pune Institute Of Computer Technology
FAQ

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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