I am a R&D Engineer at Tobii, where I apply my passion and expertise in machine learning and face analytics to develop innovative solutions for eye tracking and gaze estimation. I work with a diverse and talented team of engineers, researchers, and designers to create cutting-edge products that enhance human-computer interaction and user experience. I have a strong background in artificial intelligence, having completed my Master of Science degree in this field from National University of Ireland, Galway in 2020. During my studies, I learned various machine learning algorithms and techniques, and developed a sentiment analysis model using Keras sequential models. I also have experience as a machine learning engineer at SMARTAIL, where I developed an end-to-end correction pipeline to analyze the intent of a sentence using natural language processing tools. I am proficient in data modeling, statistical data analysis, and face analytics, and I enjoy learning new skills and technologies to improve my performance and knowledge.
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Senior Data ScientistApexonHyderabad, In
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R&D Engineer (Machine Learning)Tobii Feb 2024 - Dec 2024Galway, County Galway, Ireland -
R&D Engineer (Machine Learning)Xperi Corporation Feb 2022 - Dec 2024Galway, County Galway, Ireland -
Machine Learning EngineerSmartail Jan 2021 - Jun 2021Chennai, Tamil Nadu, India1. Successfully developed a Sentiment Analysis model using keras sequential models.2. Worked with different Machine Learning algorithms and compared their performances to findthe optimal algorithm for different tasks.3. Developed an end to end correction pipeline to analyse the intent of a sentence using NLPtools and techniques. -
Research InternXperi Corporation May 2020 - Sep 2020Galway, County Galway, Ireland• Achieved an A grade for my Master’s thesis which was completed in this organisation as part of my internship.• Smart Augmentation is the topic I worked on which was to find an optimal augmentation strategy during training the neural network.• This technique involved training the Generative Adversarial Networks in a way to smartly augment data to avoid over fitting.• Implementation was done in Pytorch and tested on various datasets, the code for same is available at “https:// github.com/swatideshpande2228/Smart-Augmentation MS Thesis”.• SOURCE: “Smart Augmentation Learning an Optimal Data Augmentation Strategy”
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Associate Software EngineerCgi Jun 2017 - Jul 2019Bengaluru, Karnataka, India• The product provided software development services to clients like JP Morgan Chase, Credit Suisse, USB and many more.• My Developer role included implementing code changes as required by the clients and Bug fixing.• Implementation of new functionality by efficient code changes in C++.• My final year at CGI involved working on Artificial intelligence project such as Fault detection.• Using machine Learning algorithms with data to improve the prediction accuracy.
Swati Deshpande Education Details
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First Class Honours -
8.58/10 Cgpa -
S Basaveswar Resi Pu CollegeFirst Class
Frequently Asked Questions about Swati Deshpande
What company does Swati Deshpande work for?
Swati Deshpande works for Apexon
What is Swati Deshpande's role at the current company?
Swati Deshpande's current role is Senior Data Scientist.
What schools did Swati Deshpande attend?
Swati Deshpande attended National University Of Ireland, Galway, Visvesvaraya Technological University, S Basaveswar Resi Pu College.
Who are Swati Deshpande's colleagues?
Swati Deshpande's colleagues are Palanivel Rengasamy, Vinayak V, Kapil Choubisa, Chandni Shrimali, Abdul Kareem.c, Faldie Adams, Vinay Yellaram.
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Swati Deshpande
Serving Notice Period | Vice President At Jp Morgan | Aws Engineering Lead | Aws Certified Developer Associate | Terraform Certified | Python Enthusiast | Devops | Kubernetes | Docker | Application ModernizationMumbai -
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