I am an AI/ML enthusiast, like to explore its application along with emerging technologies such as AR/VR, Edge computing, and many more. Currently, focused on AI/ML from both a research and engineering perspective.ResearchCurrent Interest: Machine Perception, Generative AIPast Research Work- Deepfake Detection, Intoxication detection, Anomaly detection in videos, Eye and Medical Image Segmentation. Google Scholar Page- https://scholar.google.com/citations?user=-NML5tkAAAAJ&hl=enApplied AI Experience- Instance segmentation, Text-to-Image, Inpainting (Text or Image-guided), Face Tracking, Audio Visual analysis, Object Detection and TrackingEngineeringExperience in all stages of the data science lifecycleData Engineering- ETL, Cron Jobs ML Engineering-
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FounderStealth StartupBengaluru, Ka, In -
Director Of AiStyldod, Inc Mar 2024 - PresentBengaluru, Karnataka, IndiaSpearheading the development of end-to-end Computer Vision and Generative AI solutions tailored for real estate and interior design applications. -
Applied ScientistStyldod, Inc Feb 2023 - Mar 2024Bengaluru, Karnataka, India -
Machine Learning EngineerGe Healthcare Mar 2022 - Feb 2023Bengaluru, Karnataka, IndiaWorking on backend to support productization of the models for the AI solutions- supporting inference at scale for frameworks such as Tensorflow, Pytorch, Tensorrt, Openvino using nvidia triton, TF serving and OVMS.Contributed to the development of in-house inference server supporting sparknlp models for clinical language processing.Volunteered, mentored, and grew along with the interns to explore various design options to support matlab-based computer vision models. Explored other open source video inferencing framework like nvidia Deepstream. -
Edison EngineerGe Healthcare Oct 2020 - Oct 2022Bengaluru, Karnataka, IndiaI was part of the Edison Engineering Development Program, consisting of three projects in different teams alongside assignments related to software engineering and system design. Following are the two major projects in different teams:-MR viz/reconIntelligent background supression in bone imaging : Working on the optimization and improvement phase of deep learning-based solution for intelligent background suppression in medical images involving dataset curation, training, prototype packaging, and testing.e-Delivery and Licensing Platform:-Data Engineering and telemetry: Creating data pipelines for greater visibility into business metrics and platform utilization -
Software Development EngineerGe Healthcare May 2019 - Jul 2019Bangalore, IndiaObjective: Log analysis using EFK stack.Multithreading Log Simulator is created in Java. Generate logs areingested, parsed by Fluentd and stored in Elasticsearch. Springboot API is created to process the logs which is called by webhookaction of watcher on the stored logs in Elasticsearch. Dashboardis created in Kibana to visualize the processed data. The wholepipeline is deployed to Kubernetes.
Vineet Mehta Education Details
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Computer Science
Frequently Asked Questions about Vineet Mehta
What company does Vineet Mehta work for?
Vineet Mehta works for Stealth Startup
What is Vineet Mehta's role at the current company?
Vineet Mehta's current role is Founder.
What schools did Vineet Mehta attend?
Vineet Mehta attended Indian Institute Of Technology, Ropar.
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Vineet Mehta
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Vineet Mehta
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Vineet Mehta
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