Karan Pathak

Premium

Angestellt, Senior Machine Learning Engineer, BAUHAUS Deutschland

Mannheim, Germany

About me

Agile, result-oriented Senior Machine Learning Engineer with more than 5 years of experience in providing solutions to diverse clients globally. Proficient in Deep Learning, Machine Learning, Computer Vision, and Big Data Analytics. Equipped with an ability to handle multiple teams and projects along with an extensive experience in multiple domains such as healthcare and life sciences, human resources, travel, ecommerce, banking and research. Passionate about open source development resulting in the creation of novel libraries being used by more than 10000 developers worldwide.

Skills

Artificial intelligence
Machine Learning
Data Science
R programming language
Linear Algebra
Ember.js
Research and Development
Ruby on Rails
Deployment
Computer Science
Software Development
Deep learning
Backend
Frontend
Python
C/C++
graph neural networks
Full-stack development
TensorFlow
Scikit-learn
NumPy
Matplotlib
Microsoft Azure
Linux
Java
PyTorch
Keras
SQL
neo4j
MongoDB
Computer Vision
Information Retrieval
Bioinformatics
Blockchain
graph databases
Auto ML
Robot Operating System
Leadership
Motivation
Team work
Enthusiasm
Flexibility
Analytical skills
Fast learner
ability to work under pressure
open minded
saml 2.0
Natural language processing
Robotics
Robot Operating System (ROS)
Data Analysis
Data visualisation
Git
GitLab
GitHub
Apache Solr
Nginx
openerp

Timeline

Professional experience for Karan Pathak

  • Current 1 month, since Jan 2023

    Senior Machine Learning Engineer

    BAUHAUS Deutschland
  • 2 years, Nov 2020 - Oct 2022

    Data Scientist

    Albert-Ludwigs-Universität Freiburg

    – 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.

  • 8 months, Nov 2021 - Jun 2022

    Machine Learning Engineer

    Fraunhofer ITEM

    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 2021

    Machine Learning Engineer

    Fraunhofer-Institut für Solare Energiesysteme ISE

    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 4 years and 1 month, 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

Wants

Connections
New contacts
Networking
Events
artificial intelligence
machine learning
data science
deep learning

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