Kush Bisen

R&D Software Engineer

R&D Software Engineer with expertise in building software around Web Technologies and Data Processing. Interested in solving complex problems with efficient solutions. I am passionate about exposing myself to new technologies and utilize them to solve problems needed in the industry.

Objective

Utilizing my problem‑solving skills as a researcher and a strong passion for learning to address complex challenges in industry and contribute to innovative solutions.

Experience

2022 August - Present Ghent, Belgium
  • Researching solutions to scale stream processing in the decentralized ecosystem with scalability services.
  • Developing query optimization techniques for efficient data retrieval and re-use in decentralized environments.
  • Developing privacy-preserving data methods which enhance user data security and compliance with data protection regulations such as GDPR.
  • Involved in academic writing and publishing research findings in reputed outlets.
Stream ProcessingDecentralizationQuery OptimizationData PrivacyReasoningDatabase Systems
2022 Jan. - 2022 Jul. Saint-Étienne, France
  • Contributed to the development of a specialized Wikibase for disability-related data, by converting unstructured data files into structured data within the Wikibase framework
  • Worked on data modeling and ontology design to ensure accurate representation of disability-related information.
  • Collaborated with York University, Canada and The QA Company towards a comparison of various search techniques on the Disability Documents.
  • Published research findings in a reputed conference.
Linked DataQuery Search MethodsFull Stack Development
2021 April. - 2021 Aug. Saint-Étienne, France
  • Developed a ROS based simulator for Turtlebot robots to Simultaneous Navigation and Map the environment.
  • The simulator utilized Dijkstra's algorithm for optimal pathfinding from a location to the target.
  • The simulator was utilized as training data for reinforcement learning algorithms by the researchers further after my internship.
ROSMulti Agent SystemsPathfinding AlgorithmsSimulation
  • Developed a deep learning model using Convolutional Neural Networks (CNNs) to estimate crowd counts from images.
Deep LearningComputer VisionImage ProcessingConvolutional Neural Networks

Education

Ph.D. in Computer Science Engineering

Ghent University

2022 - Present Ghent, Belgium

M.Sc. in Computer Science

Cyber-Physical Social Systems

Université de Lyon

2020 - 2022 Saint-Étienne, France

B.Tech in Computer Science Engineering

SRM Institute of Science and Technology

2016 - 2020 Chennai, India

Technical Expertise

Stream Processing
Linked Data
Full Stack Web Development
ETL/ELT Pipelines
Data Analysis

Skills

TypeScriptGolangRustPythonJavaReactRDFNode.jsDatabasesAWSKubernetesCI/CDMQTTRDockerGitHTML/CSSSQLSPARQL/RSP-QL

Tools

GitHubNotionVSCodeLinuxKafkaApache Flink

Achievements

Charpak Master's Scholarship

Awarded the prestigious Charpak Master's Scholarship for academic excellence to pursue my Master's Degree in France.