Jayanth varma Dantuluri
Angestellt, Software Developer, EML Speech Technology GmbH
Hamburg, Deutschland
Über mich
I have a masters degree in Data Science at Otto von Guericke University. I’m always ready to take up new challenges and passionate to solve real-world problems using Machine learning and Deep learning techniques and work on cutting-edge topics.
Werdegang
Berufserfahrung von Jayanth varma Dantuluri
Bis heute 1 Jahr und 3 Monate, seit Juli 2023
Software Developer
EML Speech Technology GmbH
*Developing and implementing advanced language models to improve our software services. *Analyze the results and make improvements based on the findings. *Setting up and managing real-time data streams using FastAPI, websocket, and ensure data integrity and availability for various applications. *Deployment of machine learning models in production environments. *Containerizing the application using Docker for isolation and portability.
4 Monate, März 2023 - Juni 2023
Research Assistant
HITeC e.V.
Master Thesis • Applying Sensor fusion (Radar + 3D time of flight) and AI for the detection and tracking of humans in real-time. • Built a novel sensor fusion approach based on Time-of-flight and radar sensors. • Performed object detection on images from the Time-of-flight sensors, and applied image processing and signal processing algorithms on the radar data. • Framework: Pytorch, Tensorflow
9 Monate, Feb. 2018 - Okt. 2018
Software Developer
AxiomIO
Firstly, I have worked in the company as an Intern for 2 months. During this period, I worked on Databases (MySQL, Postgresql) and code debugging (Python). Later, they offered full time position. During my stay in the company. I have worked as back-end developer. My role is to write back-end code for the applications using python and database design (dynamodb). I have acquired good knowledge on python programming and database technologies.
Ausbildung von Jayanth varma Dantuluri
Bis heute 5 Jahre und 7 Monate, seit März 2019
Data and knowledge engineering
Otto-von-Guericke University Magdeburg
• Data Mining: Supervised Learning methods | Unsupervised Learning methods | Association rule Learning • Machine Learning: Linear Regression | Naïve Bayes | Decision Trees | Random Forests | SVM | Clustering | Neural Networks | Reinforcement Learning | Semi-Supervised Learning • Deep Learning: Convolution Neural Networks | Recurrent Neural Networks | LSTM | GRU | Autoencoders | Transformer | BERT | GPT • Data Science with R | Visual Analytics | Information Retrieval | Database Management
Sprachen
Englisch
Fließend
Deutsch
Grundlagen