Nikhil Kulkarni Email & Phone Number
Who is Nikhil Kulkarni? Overview
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Nikhil Kulkarni is listed as Senior Software Developer at Apple, a with 163018 employees, based in San Jose, California, United States. AeroLeads shows a matched LinkedIn profile for Nikhil Kulkarni.
Nikhil Kulkarni previously worked as Senior Software Developer, Machine Learning at C3 Ai and Software Development Engineer II at Amazon Web Services (Aws). Nikhil Kulkarni holds Master’S Degree, Computer Science from Uc San Diego.
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About Nikhil Kulkarni
Nikhil Kulkarni is a Senior Software Developer at Apple. He possess expertise in c, c++, java, python, linux and 7 more skills. Colleagues describe him as "Nikhil Kulkarni is a conscientious, hard-working and detail-oriented engineer who worked in my team at Amazon AWS for ~2 years (2018 – 2019). Nikhil was the release lead for multiple releases of the Deep Learning AMI (DLAMI) during which he strove to dive deep into a variety of product areas and improved the DLAMI build pipelines to add automated generation of Bill of Materials, add automation for the copy and release process that was specific to DLAMI release process in the China marketplace, contribute to various bug-fixes for the DLAMI pipeline, etc. Additionally, Nikhil quickly ramped-up and led the automation of build, test and performance infrastructure for the TensorFlow, MXNet and PyTorch Container pipelines on various AWS services like EC2, EKS and SageMaker. Nikhil is a collaborative team player who works well within and across teams. Nikhil has an excellent attitude; he constantly seeks to improve the things that he works on and is always eager to help other team members. Nikhil was one of the founding engineers of the deep learning infrastructure team in AWS Palo Alto. He played an instrumental role in growing the team to 12+ people and also expanding the Deep Learning AMI and Containers business by delivering strong value over multiple releases. I strongly recommend Nikhil for an engineering role that can leverage his technical skills and passion." and "Nikhil was my mentor when I worked in AWS as an SDE Intern. He is a patient and skillful engineer. He can always help me to set up a comprehensive picture of project when I get confused. He masters in Linux Shell coding and also good at VM and Docker techniques. When I or other team members need help, the first one we come for help is usually Nikhil. He is kind and helpful all the time."
Listed skills include C, C++, Java, Python, and 8 others.
Nikhil Kulkarni's current company
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Nikhil Kulkarni work experience
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Senior Software Developer, Machine Learning
Software Development Engineer Ii
* Tech Lead for AWS’s version of Triton Inference Server. Designed and delivered Multi-Model Endpoint feature for Triton Inference Server on Amazon SageMaker, allowing multiple models to share GPU resources on a single SageMaker endpoint* As part of model serving team on DeepEngine AI, working on improvements to TorchServe, and enhancing customer experience on Amazon SageMaker for TorchServe and Nvidia Triton Inference Server.* Helped launch SageMaker Edge Manager for AWS re:invent 2020, with features such as Cloudformation integration and handler API contracts.* Led a team of 7 engineers to scale up deployment for Deep Learning Containers (DLC) by reducing E2E deployment times by nearly 2x while supporting nearly 4x workload, thus enabling contributing teams to reach a faster release currency
Software Development Engineer
* Designed training and inference workflows for using Deep Learning Containers on EKS platform for first launch of DLCs.* Lead several releases of the AWS DLCs and AMI (Amazon Machine Images), adding features such as horovod support, multi-node training, extend AWS region support and infrastructure improvements e.g., writing entire infrastructure as code to enable version control.* Streamlined the performance-testing of various deep learning frameworks such as Tensorflow, MXNet and PyTorch by designing the test-matrix across different platforms such as EC2, ECS, EKS and SageMaker to ensure highly performant containers.* Launched AWS PyTorch Deep Learning Containers with support across EC2, ECS, EKS and SageMaker platforms.
Graduate Teaching Assistant
Software Development Engineer Intern
* Designed and delivered a micro-services based system to analyze and visualize feedback data from AWS Console, using Kibana for visualizations.
Graduate Teaching Assistant
Project Intern
* Developed a system that takes in any media file (audio, video, image) and/or text files and clusters them based on the similarity in their content. * Used BVLC Caffe Deep Learning framework to extract textual representation of features from images. Similar methods were used to represent information contained within other media files in textual format and this information was used to cluster similar files together. * Decreased turn-around time by re-writing the clustering algorithm in R. The algorithm used was LDA (Latent-Dirichlet Allocation).Achievement: 2nd prize for “AI/Expert Systems” in national-level technical symposium INC’ (Impetus and Concepts) 2016
Software Developer Internship
* Developed an Android App to retrieve and analyze tweets from the Twitter server. The search included an advanced option to search by multiple parameters, such as: recent, region-wise, hashtag-based etc.* Naïve-Bayes classifier was used to classify the tweet sentiment into four categories: Good/Bad/Moderate/Non-deterministic.
Colleagues at Apple
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Eunsung Lim
Colleague at AppleSouth Korea, Korea, Republic Of
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QF
Quick Fixer South Extension
Colleague at AppleNew Delhi, Delhi, India
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Lo Ng
Colleague at AppleVoat Phnum, Phnom Penh, Cambodia
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CM
Colby Mischefsky
Colleague at AppleAustin, Texas, United States
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Nicholas Ehrmann
Colleague at AppleGreater St. Louis, United States
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Sushma Thakur
Colleague at AppleGurugram, Haryana, India
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AD
Akash Dhiya
Colleague at AppleChennai, Tamil Nadu, India
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OA
Omar Ahmab ☀️
Colleague at AppleAsyūţ, Asyut, Egypt
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Luis Reyes
Colleague at AppleReno, Nevada, United States
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Shubham Patil
Colleague at AppleMumbai, Maharashtra, India
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Nikhil Kulkarni education
Master’S Degree, Computer Science
Bachelor’S Degree, Computer Engineering
Frequently asked questions about Nikhil Kulkarni
Quick answers generated from the profile data available on this page.
What company does Nikhil Kulkarni work for?
Nikhil Kulkarni works for Apple.
What is Nikhil Kulkarni's role at Apple?
Nikhil Kulkarni is listed as Senior Software Developer at Apple.
Where is Nikhil Kulkarni based?
Nikhil Kulkarni is based in San Jose, California, United States while working with Apple.
What companies has Nikhil Kulkarni worked for?
Nikhil Kulkarni has worked for Apple, C3 Ai, Amazon Web Services (Aws), University Of California San Diego, and Amazon.
Who are Nikhil Kulkarni's colleagues at Apple?
Nikhil Kulkarni's colleagues at Apple include Eunsung Lim, Quick Fixer South Extension, Lo Ng, Colby Mischefsky, and Nicholas Ehrmann.
How can I contact Nikhil Kulkarni?
You can use AeroLeads to view verified contact signals for Nikhil Kulkarni at Apple, including work email, phone, and LinkedIn data when available.
What schools did Nikhil Kulkarni attend?
Nikhil Kulkarni holds Master’S Degree, Computer Science from Uc San Diego.
What skills is Nikhil Kulkarni known for?
Nikhil Kulkarni is listed with skills including C, C++, Java, Python, Linux, Html, Programming, and Data Structures.
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