Ganesh Kulkarni Email & Phone Number
Who is Ganesh Kulkarni? Overview
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Ganesh Kulkarni is listed as Senior AI Engineer@Honeywell | IIT Madras'21 | Generative AI | Computer Vision | ML/DL/NLP at Honeywell, a with 104198 employees, based in Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Ganesh Kulkarni.
Ganesh Kulkarni previously worked as Advanced AI Engineer at Honeywell and AI Engineer II at Honeywell. Ganesh Kulkarni holds Dual Degree from Indian Institute Of Technology, Madras.
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About Ganesh Kulkarni
As an accomplished AI Engineer with a strong background in Generative AI, Computer Vision, ML, DL, and NLP, I excel at translating complex technologies into practical, real-world solutions. My expertise lies in developing and deploying language models and computer vision systems to solve critical challenges and drive data-driven decision-making.I specialize in utilizing AI methodologies—from Generative AI to advanced ML algorithms and statistical analysis—to deliver high-impact, scalable solutions across various industries. With a deep understanding of AI frameworks and a commitment to continuous learning, I am passionate about innovation and excellence in the ever-evolving field of Artificial Intelligence.I am seeking to contribute my expertise by collaborating on groundbreaking projects and transforming visionary ideas into impactful, transformative products.
Ganesh Kulkarni's current company
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Ganesh Kulkarni work experience
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Ai Engineer Ii
• Developed a solution for predicting the stability of coating during the process using time-series-based machine learning models• Designed a model architecture for stability prediction by fusing time-series based sensor data with on-process visual data of coating process using feature vectors• Implemented variational autoencoder (VAE) and segmentation models for feature extraction of anomalies from visual data during coating process• Created a preprocessing algorithm for visual… Show more • Developed a solution for predicting the stability of coating during the process using time-series-based machine learning models• Designed a model architecture for stability prediction by fusing time-series based sensor data with on-process visual data of coating process using feature vectors• Implemented variational autoencoder (VAE) and segmentation models for feature extraction of anomalies from visual data during coating process• Created a preprocessing algorithm for visual data using ellipse detection to handle variations in zoom, brightness, and noise; enhanced feature extraction by 15%• Developed a predictive model for stability prediction using LightGBM (LGBM) and Long Short-Term Memory (LSTM) models with fused sensor & image processed data• Built a solution for post coating process to compute properties and evaluate pass/fail criteria using computer vision• Designed a model pipeline for property evaluation using a segmentation model followed by image processing techniques to compute the property features of the segmented layer using TensorFlow and OpenCV libraries• Utilized image processing techniques, including filters, GrabCut, and Gray Level Co-occurrence Matrix (GLCM), to develop solutions for coating property evaluation• Worked on the backend development of a coating evaluation web application for customers, including REST APIs, database management, and containerization Show less
Machine Learning Intern
• Developed an AI based vision system that assist the radiologist with identifying and localizing the abnormalities in the chest using X-ray images• Achieved a 24th Rank out of 1300 participation in the VinBig Kaggle competition
Machine Learning Intern
• Built an automated system that enables non-specialists to perform ML/DL tasks using a GUI interface• Designed common training and inference workflow of the state-of-the-art deep learning models for classification, object detection, and segmenation predictive tasks
Product Design Intern
• Modulus Housing invented foldable cabins to solve construction industry problems.• Designed and prototyped the double bearing telescopic sliding mechanisms for walls and beams of the cabins
Colleagues at Honeywell
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Teena Xavier
Colleague at HoneywellDubai, United Arab Emirates
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Abhijit Samant
Colleague at HoneywellMumbai, Maharashtra, India
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Maude Williams
Colleague at HoneywellHounslow, England, United Kingdom
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D_Nuno Fps
Colleague at HoneywellMealhada, Aveiro, Portugal
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Jeffrey Wan
Colleague at HoneywellPetaling Jaya, Selangor, Malaysia
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Yerbol Abishev
Colleague at HoneywellKazakhstan
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Claudio Díaz Fredes
Colleague at HoneywellChile
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Sefer Selçuk
Colleague at HoneywellIstanbul, Türkiye, Turkey
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Steven Walicki
Colleague at HoneywellHonolulu County, Hawaii, United States
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David Hummel
Colleague at HoneywellKansas City Metropolitan Area, United States
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Ganesh Kulkarni education
Frequently asked questions about Ganesh Kulkarni
Quick answers generated from the profile data available on this page.
What company does Ganesh Kulkarni work for?
Ganesh Kulkarni works for Honeywell.
What is Ganesh Kulkarni's role at Honeywell?
Ganesh Kulkarni is listed as Senior AI Engineer@Honeywell | IIT Madras'21 | Generative AI | Computer Vision | ML/DL/NLP at Honeywell.
Where is Ganesh Kulkarni based?
Ganesh Kulkarni is based in Maharashtra, India while working with Honeywell.
What companies has Ganesh Kulkarni worked for?
Ganesh Kulkarni has worked for Honeywell, Inuaid Solutions Private Limited, and Modulus Housing.
Who are Ganesh Kulkarni's colleagues at Honeywell?
Ganesh Kulkarni's colleagues at Honeywell include Teena Xavier, Abhijit Samant, Maude Williams, D_Nuno Fps, and Jeffrey Wan.
How can I contact Ganesh Kulkarni?
You can use AeroLeads to view verified contact signals for Ganesh Kulkarni at Honeywell, including work email, phone, and LinkedIn data when available.
What schools did Ganesh Kulkarni attend?
Ganesh Kulkarni holds Dual Degree from Indian Institute Of Technology, Madras.
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