Khushal Khare
Berlin
Summary
Results-driven Machine Learning Engineer with over four years of experience in developing cloud-native data pipelines and innovative AI solutions. Proficient in Python, SQL, and Git, with hands-on expertise in Microsoft Azure technologies, including Data Lakehouse and Databricks, as well as Power Platform automation. Currently pursuing a Master's in Big Data & AI in Berlin, focusing on Graph Neural Networks to enhance knowledge of cutting-edge technologies. Skilled in collaborating within international teams and leading digitalization initiatives through strategic, data-driven solutions.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Master Thesis Student
Dilax Intelcom
2025.04 - Current
- Designed and deployed SQL-based data pipelines processing millions of GPS and sensor records into analytics-ready datasets.
- Developed interactive Power BI dashboards to track user journeys, product performance, and operational KPIs.
- Analyzed event-based data to identify patterns in passenger flow and optimize transport network strategies.
- Collaborated with cross-functional teams to align analytics with business goals, enabling data-driven decision-making.
Work Student
Dilax Intelcom
2024.05 - 2025.03
- Developed ETL pipelines with Python and Airflow for large-scale transport datasets.
- Conducted iterative local testing with Jupyter Notebook for rapid ML prototyping.
- Built Power BI dashboards integrating ML outputs for operations and product insights.
- Gained hands-on experience adapting AI solutions to real-world customer workflows.
Associate Engineer Android/Java
Foxconn Technology Group
2022.06 - 2023.08
- Consolidated product usage data into reports and stakeholder presentations, supporting release planning and performance evaluation.
- Coordinated with cross-functional teams to organize strategic tasks and improve delivery workflows.
Machine Learning Intern
Groom
2021.07 - 2021.09
- Built YOLO-based image processing pipelines for object detection and benchmarking.
- Designed testing workflows, improving inference speed and accuracy across YOLO variants.
Education
Masters - Big Data and Artificial Intelligence
SRH University of Applied Science
09.2025
Bachelor of Technology - Computer And Information Systems
VIT UNIVERSITY
2022-05
Skills
- PROGRAMMING LANGUAGES: Python, SQL, Java, Kotlin
- MACHINE LEARNING & DATA ENGINEERING: PyTorch, TensorFlow, Hugging Face, OR-Tools, Scikit-learn
- TOOLS: Webflow, Power BI, Git, Eclipse, JIRA
- LLM Applications & RAG: LangChain, prompt engineering, semantic search, vector DBs (OpenSearch, ElasticSearch)
- CLOUD PLATFORMS: Google Cloud Platform, Vertex AI, Microsoft Azure DevOps
- ANDROID DEVELOPMENT: RESTful APIs, JSON Parsing, Unit Testing, MVI, MVVM, MVP
- DATA ENGINEERING: Airflow, BigQuery, Spark, Pandas, NumPy, Postman, Matlab, Android Studio, Docker, GitLab, Excel, PowerPoint, Tableau
- Time Management
- Problem Solving
- Critical Thinking
- Collaboration
- Adaptability
Websites
Certification
- MACHINE LEARNING PIPELINE: Great Learning
- DATA SCIENCE & ANALYTICS: HP Foundation
- FUNDAMENTALS OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE: Technophilia
- GENERATIVE AI FOR DATA STRUCTURES AND: Amazon AWS Skill Builder
- EXECUTIVES ALGORITHMS IN PYTHON: Amazon AWS Skill Builder, Coding Ninjas
- MACHINE LEARNING FROM: IIT Bombay
LANGUAGES
ENGLISH
GERMAN: B1 currently improving
Timeline
Master Thesis Student
Dilax Intelcom
2025.04 - Current
Work Student
Dilax Intelcom
2024.05 - 2025.03
Associate Engineer Android/Java
Foxconn Technology Group
2022.06 - 2023.08
Machine Learning Intern
Groom
2021.07 - 2021.09
Masters - Big Data and Artificial Intelligence
SRH University of Applied Science
Bachelor of Technology - Computer And Information Systems
VIT UNIVERSITY