Karan Pathak
Skills
Timeline
Professional experience for Karan Pathak
– Led the development of a novel transpiler that transpiles code from sparql to cypher for neo4j and benchmark comparison with other state of the art strategies available. – Developed a neo4j extension based on the investigative results of query optimisation strategies of graph databases.
Contributions: - Developed novel neural net architectures involving Graph Neural Networks with a combination of other Deep learning models for prediction of drug sensitivity in cancer which was benchmarked with state of the art models. - Integrated and encoded various data types as graphs for learning graph representations and interpreted the results of neural network with the help of hypothesis testing.
- 8 months, Apr 2021 - Nov 2021Fraunhofer-Institut für Solare Energiesysteme ISE
Machine Learning Engineer
Involved in a research project with algorithms for the detection of multivariate outliers in PV module data sets. Tasks included: - Planning the procedure - Data analysis and filtering - Implementation of routines of linear algebra/machine learning in Python - Documentation, visualization and communication of research results - Literature research
- 3 years and 6 months, Jan 2016 - Jun 2019
Technical Lead (Machine Learning/Software)
Navyug Infosolutions Pvt. Ltd.
- Spearheaded multiple projects with variable team sizes of up to 5 people. - Provided AI enabled scalable solution to forecast the sales for all departments in different stores of a retail client. - Developed recommender systems based on collaborative filtering for a mood based application. - Responsible for creating ETL pipelines, performing feature selection, machine learning, evaluation, extensive back-end scripting and research. - Prototyping, wire-framing, white-boarding ideas, creating RESTful API's
Educational background for Karan Pathak
- 3 years and 1 month, Oct 2019 - Oct 2022
Computer Science
Albert Ludwigs University of Freiburg
- Specialization in Artificial Intelligence – Involved in a collaborative thesis and research publication titled “Integrating Multi-Omics Data and Pathway Structure with Explainable Graph Neural Networks for Precision Medicine”. – Awarded 2nd position for Freicar self driving car project that involved computer vision, deep learning and mobile robotics.
- Current 6 years and 5 months, since 2019
Statistics and Data Science
Massachusetts Institute of Technology
This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam Courses include: - Probability - The science of uncertainity and data - Fundamentals of statistics - Machine learning with python: from Linear models to deep learning - Data Analysis: Statistical Modeling and Computation in Applications - Capstone exam in Statistics and data science
- 4 years and 1 month, May 2012 - May 2016
Computer Science and Engineering
Guru Nanak Dev University
Languages
English
Fluent
Hindi
First language
Punjabi
First language
German
Basic
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