Offered to work full-time starting in August 2020 after successfully working together on Master thesis
Implemented state of the art deep learning models (Quicknat, U-Nets) for liver and spleen segmentation using
nnU-net, Octave-Conv, SWA, SWAG, Thick-slices, Multi-phases
Developed data pre-processing pipelines to prepare 23.000+ MRI scans for input into deep learning segmentation
Built web application using Python/Flask/Docker to visualise MRI scans and its segmentations/heatmaps
predicted by machine learning models; deployed using AWS EC2/S3/Lambda
Machine Learning Research (intern) — Disney Research Lab (Zurich) -- Nov 2018 - Feb 2019
Tech stack:Python, Keras, Pandas/Matplotlib/Numpy
Collected, cleaned and prepared datasets of facial expressions (e.g. cry, yawn) to be used to classify emotional
reactions of movie viewers and measure which pieces of a movie are engaging
Developed deep learning CNN models to classify 8 basic facial expressions from Cohn-Kanade dataset
Data Engineer (working student) — Quant-IP (Munich) -- Mar 2018 - Oct 2018
quant-ip.com is a data provider serving large financial institutions
Indian IT services and consulting company, largest company by market capitalization in India
Tech stack:JavaScript/TypeScript, Angular, Node, MongoDB, HTML, CSS, PHP, MySQL
Awarded TCS GEMS award for excellent coding skills among 500 co-workers at the Qualcomm account
Managed and improved data consistency of 200.000+ records across 500 MySQL tables for Qualcomm application
Developed user & administration interface and CRON tasks for Qualcomm learning management web application
Built hybrid app with Angular used by employees of Qualcomm and TCS
📖 EDUCATIONAL
M.Sc. Informatics — TU Munich (Munich) -- 2017 - 2020
Master Thesis which was accepted at MLMI2020 - https://arxiv.org/pdf/2008.12680.pdf (machine learning
conference on medical imaging): Analysed deep learning model accuracy using PyTorch/scikit-learn/NumPy;
compared 4 state of the art Bayesian neural networks for image segmentation and developed improvements
i-Graph project: Wrote web application in TypeScript using RASA-NLU to translate language into SQL queries
Expression prediction project: Detected emotions on image and video data using PyTorch and OpenCV
Allianz HackaTUM-2019: Won 1st prize out of 37 teams for detecting cracks on metal using image analysis
Bachelor Electronics and Communications — Gandhi Institute (Gunupur, India) -- 2009 - 2013
Above-average student (top 15%, GPA 8.3); wrote bachelor thesis detecting cracks in railway tracks based on data
Modded version of shellphish. Mod Features are Colourized Text, Animations, In built setup for Termux, Extra features, More improvements, Bugs cleared, Fixed URL not showing.