Dipendra Yadav
Scientific Researcher at Universität Greifswald- Claim this Profile
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English Full professional proficiency
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Hindi Native or bilingual proficiency
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Nepali Native or bilingual proficiency
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German Professional working proficiency
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Maithili Native or bilingual proficiency
Topline Score
Bio
Welf Wustlich
Dipendra joined PlanetAI as an intern in exploring the use of deep learning for NLP. He was swift in familiarizing himself with novel research topics and further enriching the given tasks with his own ideas. Due to his excellent work, he was subsequently offered to do his master thesis research in Transfer Learning with us and was further offered a position with us. During this time, he was responsible for the development and testing of Intelligent Document Analysis software and later on was integrated into the DevOps team where he was involved in building CI/CD pipelines which made our software delivery process much smoother. I like his dedication, & passion for his job as well as his sense of humor. I am confident that Dipendra will be a great asset to any company. I would like to thank him for his excellent work and wish him continued maximum success in the future.
Francis Beeson
Dipendra exceeded our expectations and overdelivered with the tasks we gave him. He brings together good Data Science hard skills, a sharp and intuitive mind for quickly grasping any knowledge/business domain, and good communication skills. Specifically, he tackled complex NLP research problems, such as implementing models for measuring semantic non-compositionality of collocations, and the discussions with him over his results were some of the most enlightening conversations in AI I've had. On another occasion, we had him do an exploratory analysis of several disparate data sources' APIs and response objects, and he delivered an incredibly intuitive and beautiful presentation of his results. He was the student, but I ended up learning so much more from him. Dipendra, I look forward to working with you again.
Welf Wustlich
Dipendra joined PlanetAI as an intern in exploring the use of deep learning for NLP. He was swift in familiarizing himself with novel research topics and further enriching the given tasks with his own ideas. Due to his excellent work, he was subsequently offered to do his master thesis research in Transfer Learning with us and was further offered a position with us. During this time, he was responsible for the development and testing of Intelligent Document Analysis software and later on was integrated into the DevOps team where he was involved in building CI/CD pipelines which made our software delivery process much smoother. I like his dedication, & passion for his job as well as his sense of humor. I am confident that Dipendra will be a great asset to any company. I would like to thank him for his excellent work and wish him continued maximum success in the future.
Francis Beeson
Dipendra exceeded our expectations and overdelivered with the tasks we gave him. He brings together good Data Science hard skills, a sharp and intuitive mind for quickly grasping any knowledge/business domain, and good communication skills. Specifically, he tackled complex NLP research problems, such as implementing models for measuring semantic non-compositionality of collocations, and the discussions with him over his results were some of the most enlightening conversations in AI I've had. On another occasion, we had him do an exploratory analysis of several disparate data sources' APIs and response objects, and he delivered an incredibly intuitive and beautiful presentation of his results. He was the student, but I ended up learning so much more from him. Dipendra, I look forward to working with you again.
Welf Wustlich
Dipendra joined PlanetAI as an intern in exploring the use of deep learning for NLP. He was swift in familiarizing himself with novel research topics and further enriching the given tasks with his own ideas. Due to his excellent work, he was subsequently offered to do his master thesis research in Transfer Learning with us and was further offered a position with us. During this time, he was responsible for the development and testing of Intelligent Document Analysis software and later on was integrated into the DevOps team where he was involved in building CI/CD pipelines which made our software delivery process much smoother. I like his dedication, & passion for his job as well as his sense of humor. I am confident that Dipendra will be a great asset to any company. I would like to thank him for his excellent work and wish him continued maximum success in the future.
Francis Beeson
Dipendra exceeded our expectations and overdelivered with the tasks we gave him. He brings together good Data Science hard skills, a sharp and intuitive mind for quickly grasping any knowledge/business domain, and good communication skills. Specifically, he tackled complex NLP research problems, such as implementing models for measuring semantic non-compositionality of collocations, and the discussions with him over his results were some of the most enlightening conversations in AI I've had. On another occasion, we had him do an exploratory analysis of several disparate data sources' APIs and response objects, and he delivered an incredibly intuitive and beautiful presentation of his results. He was the student, but I ended up learning so much more from him. Dipendra, I look forward to working with you again.
Welf Wustlich
Dipendra joined PlanetAI as an intern in exploring the use of deep learning for NLP. He was swift in familiarizing himself with novel research topics and further enriching the given tasks with his own ideas. Due to his excellent work, he was subsequently offered to do his master thesis research in Transfer Learning with us and was further offered a position with us. During this time, he was responsible for the development and testing of Intelligent Document Analysis software and later on was integrated into the DevOps team where he was involved in building CI/CD pipelines which made our software delivery process much smoother. I like his dedication, & passion for his job as well as his sense of humor. I am confident that Dipendra will be a great asset to any company. I would like to thank him for his excellent work and wish him continued maximum success in the future.
Francis Beeson
Dipendra exceeded our expectations and overdelivered with the tasks we gave him. He brings together good Data Science hard skills, a sharp and intuitive mind for quickly grasping any knowledge/business domain, and good communication skills. Specifically, he tackled complex NLP research problems, such as implementing models for measuring semantic non-compositionality of collocations, and the discussions with him over his results were some of the most enlightening conversations in AI I've had. On another occasion, we had him do an exploratory analysis of several disparate data sources' APIs and response objects, and he delivered an incredibly intuitive and beautiful presentation of his results. He was the student, but I ended up learning so much more from him. Dipendra, I look forward to working with you again.
Credentials
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Startup Preschool
Startup MigrantsNov, 2022- Oct, 2024 -
Integrationskurse
Federal Office for Migration and RefugeesSep, 2021- Oct, 2024 -
Advanced Training in Industrial Automation
Technocrat Automation Pvt. LimitedMay, 2015- Oct, 2024 -
Foundation Program in Information Technoloy
InfosysDec, 2014- Oct, 2024
Experience
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Universität Greifswald
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Germany
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Higher Education
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400 - 500 Employee
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Scientific Researcher
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Jan 2023 - Present
Research & development of NLP methods for text analysis, machine learning methods for semantic graph learning, methods of data fusion, methods for semi-automatic & automatic annotation of text data, etc. Research & development of NLP methods for text analysis, machine learning methods for semantic graph learning, methods of data fusion, methods for semi-automatic & automatic annotation of text data, etc.
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Universität Rostock
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Germany
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Research Services
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700 & Above Employee
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Research Assistant
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Jan 2022 - Sep 2022
Research in Neural Density Estimation Research in Neural Density Estimation
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PLANET AI
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Germany
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Software Development
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1 - 100 Employee
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Software Engineer
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May 2020 - Jan 2022
Worked in DevOps and Software Development teams with the following responsibilities:- Developing Frontend & Backend of Intelligent Document Analysis software- Writing CI/CD pipelines- Writing automatic E2E tests and Unit tests using PyTest & Junit for Intelligent Document Analysis(IDA) software- Testing different databases like MSSQL, POSTGRES, and SQLiteKey skills: Linux, Git, Java, Python, Bash, Maven, Drone, YAML, IDEs(Pycharm & Intellij) Worked in DevOps and Software Development teams with the following responsibilities:- Developing Frontend & Backend of Intelligent Document Analysis software- Writing CI/CD pipelines- Writing automatic E2E tests and Unit tests using PyTest & Junit for Intelligent Document Analysis(IDA) software- Testing different databases like MSSQL, POSTGRES, and SQLiteKey skills: Linux, Git, Java, Python, Bash, Maven, Drone, YAML, IDEs(Pycharm & Intellij)
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Market Logic Software
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Germany
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Software Development
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100 - 200 Employee
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Student Assistant Data Scientist(NLP)
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Nov 2019 - Apr 2020
Responsible to assist data scientists in research and development of NLP tools which were used by businesses to get an insight into their Natural language data, extract relevant information and store it in the most efficient way to be able to use the knowledge in running an insight-driven business. Responsible to assist data scientists in research and development of NLP tools which were used by businesses to get an insight into their Natural language data, extract relevant information and store it in the most efficient way to be able to use the knowledge in running an insight-driven business.
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PLANET AI
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Germany
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Software Development
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1 - 100 Employee
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Master Thesis in NLP
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Oct 2019 - Mar 2020
Thesis topic:"Exploring Transfer Learning for Deep NLP systems on rarely annotated languages".
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Research Intern in NLP
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Apr 2019 - Sep 2019
Worked on the research into the state-of-the-art Deep Learning Named Entity Recognition (NER) methods and implemented multitask learning with POS and Chunking as auxiliary tasks.
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PIA care
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Germany
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IT Services and IT Consulting
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1 - 100 Employee
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Specialization project in Machine Learning
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Oct 2018 - Mar 2019
Worked on a project of Automatic Object detection for Video-based intention recognition on CMU Quality of life grand challenge kitchen dataset. Worked on a project of Automatic Object detection for Video-based intention recognition on CMU Quality of life grand challenge kitchen dataset.
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Education
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2017 - 2020
Universität Rostock
M.Sc. in Electrical Engineering and Information Technology, Faculty of Computer Science and Electrical Engineering (IEF) -
2011 - 2015
Visvesvaraya Technological University
Bachelor in Electrical and Electronics Engineering, First Class with Distinction
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