About me
I am an AI & Robotics Engineer with around 9 years of experience, specializing in applying computer vision & deep learning techniques to real-world problems across diverse industries, including manufacturing, robotics, healthcare, retail, etc., delivering impactful solutions that enhance efficiency & accuracy, as an individual contributor, team member & team lead.
I have experience conducting research, developing & implementing novel approaches for scalable & efficient machine learning applications.
What I do
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Computer Vision
State-of-the-art vision models & real-time perception
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Robotics
Intelligent automation, autonomous systems & reinforcement learning
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Machine Learning
Data-driven insights, predictive analytics & automation
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Generative AI
Craft creativity with artificial neural networks
Testimonials
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Dr. Vaibhavi Rajendran
Sujit is a progressive AI practitioner with an inquest towards development of quality AI solutions. I have had the opportunity to work with him in Baker Hughes & it has been easy to converse, convey, seize & gain on countless AI topics. One of my strong beliefs is that a person who believes there is room for improvement for his/her own solution will always ascend in the learning ladder & Sujit has been an exemplification of precisely this statement. He is an adept Computer Vision solutioner, nevertheless he grasps onto other/new modalities, technologies, techniques quickly by assessing the pros & cons which is exceptionally impressive. He is a great team player who supports the team by imbibing the pros & cons of his fellow team mates. He is going to be a great asset to any team he joins, his potential will guide him to great heights undoubtedly & I wish him the very best for all his future endeavours.
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Dinesh Srikhakollu
Sujit is an exceptional talent who is passionate about computer vision. I have worked with him on few successful projects & his machine learning skills are amazing. A true asset for any team/company.
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Dr. Tushar Jadhav
Sujit was very sincere & hardworking student. Prominently, he acquired embdedded & software system design & programming skills, while studying at the university.
Résumé
Education
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Liverpool John Moores University, UK
2021 — 2023Master of Science in Machine Learning & AI
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University of Pune
2011 — 2015Bachelor of Engineering in Electronics & Telecommunication
Experience
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Sr Machine Learning Engineer
2017 — Present
Designed & developed the following applications for Oil, Gas & Energy industry
• Multi-modal search by using Generative AI & vector databases, significantly improving user satisfaction
• Engineering diagram digital-twin by using image recognition, connected-components & graph analysis, reducing thousands of man hours
• 3D printing defect detection by using image processing & sensor anomaly detection using statistical analysis, efficiently improving preventive maintenance
Designed & developed the following applications for Insurance industry
• Vehicle damage analysis by automating amount estimation through damage classification, reducing average claim processing time by hours
• Automated health policy underwriting by predicting the health parameters from face & skin images, significantly reducing the application time -
Software Engineer - Image Processing
2015 — 2017
Designed & developed the following applications for Automotive, Manufacturing, Retail & Banking industries
• Real-time fabric cone defect analysis by using acurate object detection & segmentation in an assembly of UV light chamber, conveyor belt, embedded board & sensors, efficiently reducing inspection labor costs
• Planogram compliance check automation by analysing super-market shelve images & videos using, efficiently reducing the processing time
• Virtual jewelry try-on application by using facial keypoints detection & tracking, significantly improving the user satisfaction
• Automated data extraction & validation of KYC documents, invoices, bank cheques, restaurant bills, etc. by using state-of-the-art NLP & OCR techniques with significant coverage & accuracy
Certifications
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Deep Learning Specialization by DeepLearning.AI on Coursera
• Neural Networks & Deep Learning
• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization & Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models -
Machine Learning by Stanford University on Coursera