Experience
Software Engineer @ Microsoft
Prague, Czech Republic
Nov. 2022 - Present
Master Thesis @ Scania
Södertälje, Sweden
Jan 2022 - June 2022
- The thesis focuses on increasing the temporal resolution of trip data for vehicles using a Recurrent Neural Network (RNN)-based architecture, that treats the geospatial data as a time series.
- Publication and GitHub Repository.
Python
MySQL
GAN
RNN
PyTorch
TensorFlow
LaTeX
Software Engineer Intern @ Five AI
Bristol, United Kingdom
June 2021 - August 2021
- Developed a PostFlight Check tool (web app) to systematically examine recorded data from the cars based on user-defined diagnostics (plugins).
- These diagnostics allow users to identify trends and issues in the raw, sensor data using intuitive plots and dynamic insights.
- Also worked with:
- CI/CD (GitLab).
- Deployment: Terraform, Kubernetes and Docker.
FastAPI
Python
HTML
JavaScript
AJAX
Software Developer @ Hubert
Stockholm, Sweden
Nov. 2020 - May 2021
- Developed a parsing tool for extracting information from candidates' CVs to improve Hubert's virtual interview experience.
- Designed an algorithm ranging from layout analysis of the document to semantic structure analysis of text objects and chunks.
- Trained an NER model to parse the candidate's history, qualifications, and skills from the extracted sections (education, experience etc.).
Python
spaCy
scikit-learn
NLTK
NER
Machine Learning Intern @ CureAssist
India (Remote)
June 2020 - Aug 2020
- Developed a module for CureAssist's Mobile App to remotely diagnose a patient in under 30 seconds.
- Built a Graph Database (Neo4J) on the MeSH Dataset to establish semantic relationships among Diseases and Symptoms.
- Trained a Neural Network on this Graph DB to accurately predict a disease based on the patient's symptom(s).
Neo4J
Cypher
Python
MySQL
