Dipendra Yadav
Software Engineer at PLANET AI GmbH- 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
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.
Gregor Lämmel
Dipendra worked for 6 month during the final stages of his master thesis in my team. I experienced him as a curious and passionate person. He helped us solving some very challenging NLP problems. I value very much his openness, creativity and grit.
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.
Gregor Lämmel
Dipendra worked for 6 month during the final stages of his master thesis in my team. I experienced him as a curious and passionate person. He helped us solving some very challenging NLP problems. I value very much his openness, creativity and grit.
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.
Gregor Lämmel
Dipendra worked for 6 month during the final stages of his master thesis in my team. I experienced him as a curious and passionate person. He helped us solving some very challenging NLP problems. I value very much his openness, creativity and grit.
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.
Gregor Lämmel
Dipendra worked for 6 month during the final stages of his master thesis in my team. I experienced him as a curious and passionate person. He helped us solving some very challenging NLP problems. I value very much his openness, creativity and grit.
Credentials
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Advanced Training in Industrial Automation
Technocrat AutomationMay, 2015- Oct, 2024 -
Foundation Program in Information Technoloy
InfosysDec, 2014- Oct, 2024
Experience
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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 - Present
Working 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) Working 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 Natural Language Processing
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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 Natural Language Processing
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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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