About

Learn more about me

FullStack Developer & Machine Learning

Passionate about data analysis. Interest in medical domain. focused in medical software development.

  • Birthday: 8 Sep 1991
  • Phone: +176 466 16781
  • City: Potsdam, Brandenburg, Deutschland
  • Age: 34
  • Degree: Master
  • PhEmailone: souvik5sep@gmail.com
  • Fulltime Job: Available

I am a Medical Engineer, having masters degree in Medical Imaging and data processing. I am a software Engineer who has a clear ambition towards medical industry. I am interested building projects in various domain. I am a full stack developer and have experience in building cloud based web applications. I have experience in building machine learning models and deploying them in production. I have experience in building deep learning models for medical image analysis. I have experience in building medical image & audio processing pipelines.

Skills

Python 100%
HTML, CSS & node.js 50%
Agile Project management (GIT-version control) 100%
ML Architecture (image and audio) 80%
Data analysis & Feature Engineering 90%
CI & CD pipeline production 90%
SQL, BigQuery, ScikitLearn, OpenCV 100%

Resume

Check My Resume

Sumary

Souvik Tewary

Innovative and deadline-driven full stack Software Engineer with 3+ years of experience designing and developing user-centered sofware used mostly in medical industry from initial concept to final productionizing, completed multipe project under a team of different department.

  • Potsdam ,Brandenburg, DL
  • +49 176 46616781
  • souvik5sep@gmail.com

Education

Master in Medizintechnik & medical imaging and data processing

APR/2021

Friedriche Alexander Universität, Erlangn, DE

Subjects: Pattern Recognition, Pattern Analysis,Intervention Medical Image processing, Diagnostic Medical Image Processing (US, X-Ray), Computer Graphics, deep learning (tensorflow architecture design), Machine Learning (Boosting classifier, SVM, Bayesian classifier), Computer Vision, applied visualization.

Bachelor in Biomedical Engineering

June/2014

West Bengal University of Technology, West Bengal, India

Subjects: Medical Instrumentation, digital Signal processing, Digital Image Processing, Engineering Mathematics, Basis-Electronics, circuit theory, robotics, Physiology

Professional Experience

Diametos GmbH - Software Engineer

Jan/2022 - Aug/2023

Potsdam, Brandenburg, DE

  • Developed audio feature extraction algorithms. Focused on acquiring features from frequency, time and quefrency domain.
  • Optimized preexisting “sonorefox” algorithm to improve signal processing and snoring detection.
  • Developed various machine learning algorithms (SVM, AdaBoost, XGBoost) for snoring classification.
  • Developed a validation tool to acquire bug free code to be processed into production.
  • Processed and analyzed raw snoring audio data collected from various audio laboratory.
  • Documentation of processed data collected under CSV.
  • Technical documentation compliant with regulatory standards for medical device (QS; MDD)
  • Language, python, interface: JIRA (GIT)

Master Thesis: Parkinsons Disease detection using AdaBoost clssifier (complete architechture design)

FEB/2020 - AUG/2020

Friedriche Alexander Universität, Erlangen, Bayern, DE

  • Created an algorithm to classify Parkinson’s disease using AdaBoost (Machine Learning Boosting algorithm)
  • Extracted audio features from different aspects of spoken language such as: phonation, articulation and prosody.
  • Python, Agile Methodology

Pattern ecognition Lab (INF-5) - Teaching Assistant

Oct/2019 - Mar/2020

Friedriche Alexander Universität, Erlangen, Bayern, DE

  • Supervision of students during Pattern recognition exercise.
  • Understanding and implementing basic classification and regressor models, such as Bayesian, Gaussian Mixture Model Expectation Maximization, SVM on a test dataset.

Research Internship

Oct/2017 - Apr/2018

Adidas & Machine Learning and Data Analysis lab (MAD Lab, FAU), Erlangen, Bayern, DE

  • Developed an algorithm that can count steps by using energy harvesters as an energy source.
  • Created and designed energy-harvester unit using 3 basic operating principles: Piezo electric sensor, flexible solar panel, and magnetic induction wearable sensors
  • Designed magnetic induction module using 3D-AutoCad.
  • Designed on board power bank unit using Veroboard to store created energy while in locomotion.

Research Assistant (HIWI)

Feb/2017 - Aug/2017

Pattern Analysis Lab, Erlangen, Bayern, DE

  • Recognition and classification of digital histological images. DICOM image.
  • Detected and segmented chorioallantoic membrane (CAM) of chick embryo for tumor analysis.
  • Segmented the fibroblasts that have migrated from the CAM into the tumor.

Certification & Publication

A Novel Approach towards designing a Wearable Smart Health Monitoring System measuring the vital parameters in emergency situations in Real-Time and providing the necessary Medical Care through Telemedicine

West Bengal, India

  • Designed for Elderly patient us-ing Telemadicine
  • Parameters detected: QRS(using 3Lead ECG system), Pulse rate, Blood Pressure (Using air pressure sensor)
  • PCB Designing with DAQ intervention for analog(bio signal) to digital signal conversions using LabView as code interface.

An Automated Graphical User Interface based System for the Extraction of Retinal Blood Vessels using Kirsch‘s Template.

West Bengal, India

  • https://thesai.org/Publications/ViewPaper?Volume=6&Issue=6&Code=IJACSA&SerialNo=13
  • Used for early detection for diabetic retinopathy and 30+ more eye related diseases.
  • Created Image processing toolbox GUI using MATLAB

Certification

  • Feb/2024: IBM : Development of Front-End App using eact JS
  • Feb/2024: IBM : Introduction to Web Development with HTML, CSS, JavaScript
  • Jan/2024: DataBricls : Academy Accredition- Generative AI Fundamentals
  • Jan/2024: IBM : Introduction to cloud computing
  • Dec/2023: Udemy : Advance Deep Learning with Keras