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Prakhar Srivastava has a diverse work experience in the field of data engineering and machine learning. Prakhar most recently worked as a Lead Data Annotator at EyeVi Technologies. Prior to that, they were a Research Assistant at the University of Tartu Institute of Computer Science, where they worked on a project involving scalable data engineering for high-volume image preprocessing and analysis. Prakhar also gained experience as a Machine Learning Intern at KappaZeta Ltd, focusing on cloud removal in remote sensing satellite images. Prakhar has also worked as a Research Assistant at the University of Tartu, where they collaborated on a project involving model optimization for pedestrian detection/tracking. Earlier in their career, Prakhar worked as a Data Engineer and Data Analyst at Atos Syntel, where they contributed to projects in the telecom and healthcare sectors, respectively.

Prakhar Srivastava's education history is as follows:

- From 2020 to 2023, Prakhar attended the University of Tartu and obtained a Master of Science (MS) degree in Computer Science with AI.

- In 2021 to 2022, Prakhar participated in the Erasmus master's program at the University of Koblenz and Landau, where they pursued a degree in Informatik.

- From 2014 to 2018, Prakhar studied at Rajiv Gandhi Prodyogiki Vishwavidyalaya, earning a Bachelor of Engineering (BE) degree in Computer Science.

- In 2012 to 2014, Prakhar completed their Senior Secondary Education from the Central Board of Secondary Education, focusing on Physics, Chemistry, and Mathematics.

- From 2007 to 2012, Prakhar attended the Indian Certificate of Secondary Education, completing their education up to Secondary level.

- Prakhar's primary education was completed at Sacred Heart Convent School from 1998 to 2007.

Furthermore, Prakhar has obtained several additional certifications, including "AWS Educate Getting Started with Cloud Ops" from Amazon Web Services in April 2023. In June 2022, they completed multiple courses through Coursera, including "Creating Multi Task Models With Keras," "Deep Learning with PyTorch: Generative Adversarial Network," "Deep Learning with PyTorch: Image Segmentation," "Deep Learning with PyTorch: Neural Style Transfer," "Deep Learning with PyTorch: Object Localization," "Fine Tune BERT for Text Classification with TensorFlow," "Hyperparameter Tuning with Keras Tuner," "Linear Regression with NumPy and Python," "Machine Learning Pipelines with Azure ML Studio," "Semantic Segmentation with Amazon Sagemaker," "Statistical Data Visualization with Seaborn From UST," and "Transfer Learning for NLP with TensorFlow Hub." In 2021, they completed "Getting Started with AI on Jetson Nano" from NVIDIA, and in 2017, they obtained a certification in "Big Data (Analytics and Development)" from Appin Technologies. Additionally, Prakhar holds a "PEGA (PRPC)" certification from OnlineITGuru, although the exact month and year of obtaining this certification are unknown.