🧔 Profile

Senior FullStack Developer (DataScience)
Prestatech, TUM Graduate, Berlin, Germany
https://www.jyotirmays.com

⚗️ Tools and Technologies

👷‍♂️ Experience

🐺 PROFESSIONAL Senior Software Developer — Prestatech GMBH, Berlin (Berlin) -- Sep 2021 - Present One of the advanced API based and Cloud-AI-backed Banking Analytics, and Instant Lending solutions provider Tech stack: Python, Azure Repos.Pipelines.Functions.ML-Workspace.Compute.,Terraform, Docker, Postman API, NLP Setting up DS-RND development space on azure & management of 16+counting APIs for the data-science team. Owning 3 services end to end and optimizing others for better performance, monitoring and formatting by automating them using azure yaml pipelines. Improved legacy API calls by 5x and saved server cost to the company. Machine Learning Research Assistant — AI-Med, LMU Munich (Munich) -- Apr 2019 - Feb 2021 Research group for AI in Medical Imaging, lead by Prof. Wachinger; develops machine learning models for healthcare Tech stack: Python, Flask, Docker, PyTorch, scikit-learn/Pandas/Matplotlib/NumPy/NiBabel, Nginx, AWS 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 Tech stack: Python, Flask, TypeScript/JavaScript, Angular, Ionic Built web application to visualise financial data and innovation score using Flask/Plotly at Bloomberg Magic Developed web and mobile application in Flask, Angular and Ionic to analyse and visualise company innovations and growth, based on patent data Software engineer — Pega System (Bangalore, India) -- Mar 2016 - Mar 2017 American software company for customer relationship management and digital process automation Tech stack: JavaScript, HTML5, CSS3 Solved client issues in their web applications using JavaScript, HTML and CSS Trained 5 new employees as part of Pega recruitment and UI technology training group Software engineer — Tata Consultancy Services (Bangalore, India) -- Mar 2014 - Mar 2016 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

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