Currently a Data Scientist at Akamai Technologies, the leading global Content Delivery Network, where I leverage AI and machine learning to deliver actionable insights through data analytics. I completed my Master's degree in Computer Science, specializing in Artificial Intelligence and Machine Learning, from the International Institute of Information Technology Bangalore (IIIT Bangalore). My academic and professional journey has been marked by significant achievements, including winning a gold medal for India in the Machine Learning and Big Data category at the BRICS 2022 competition. My career has spanned prestigious organizations such as Spyne.ai, Indian Institute of Technology Delhi, Deeprooted, and Suez, enriching my experience and deepening my understanding of the field.
As a seasoned data scientist, I've excelled in various roles spanning data science, data engineering, and applied research. I've demonstrated versatility by working with diverse data types such as structured data, natural language, videos, and images. Working remotely exclusively, I've honed my skills in deep learning, machine learning, Python, PyTorch, Transformers, TRL, Git, Docker, and more. My goal is to leverage this expertise to drive impactful projects and innovations in the field of artificial intelligence.
Vinayakk Garg
@vinayakkgarg
Gold for India @BRICS, ML @Akamai, Masters in AI @IIIT Bangalore
IndiaExperience
Software Engineer 2
Akamai Technologies
Jan 2023 - Present (1 year 4 months)
Analysed Akamai’s edge servers’ data to improve CDN performance by finding network inefficiencies. Implemented a time-series trend analysis clustering solution, to identify patterns within data and separate the anomalies. Implementing a multithreaded file transfer system to centralize log data from servers across the world, parsing logs to structure data for automated analysis.
Computer Vision Intern
Spyne AI
Nov 2021 - Mar 2022 (4 months)
Worked on thin-plate spline transformation for solving virtual try-on tasks. Retrained existing research work on image inpainting using GANs to outpaint a cropped image. Implemented object segmentation models using SOC-based approaches to detect car number plates.
Data Engineer Intern
Deeprooted
Sep 2022 - Oct 2022 (1 month)
Developed automation script to fetch data from multiple databases, process it, and send it in an email to stakeholders daily on schedule. Reduced query times by using DB cursors.
Summer Research Intern
IIT Delhi
May 2020 - Aug 2020 (3 months)
Worked as a deep learning intern under the DLive i.e. the self-driving car team of IIT Delhi. Worked on the development of a visual perception-based model to perform lane detection. Performed comprehensive study and compared the existing models and research work with acquired data.
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