Khushal Khare

Results-driven Software Developer and Machine Learning Engineer with over 4 years of experience in building scalable AI solutions and deploying applications using modern frameworks and cloud platforms like GCP and Azure. Proven track record in developing end-to-end ML pipelines, backend services, and automation workflows. Open to relocation globally.

Master Thesis Student — Dilax Intercom, Berlin (Apr 2025 – Oct 2025)

Designed scalable ML pipelines on GCP and Azure using Apache Airflow. Built reusable Python components with PySpark and Pandas. Developed CI/CD workflows using GitLab CI. Containerized real-time inference services with Docker on Kubernetes. Applied MLOps practices including model drift detection and continuous training. Built monitoring dashboards with Prometheus and Grafana.

Work Student — Dilax Intercom, Berlin (May 2024 – Mar 2025)

Built production-grade ETL pipelines with Python, Apache Airflow, and BigQuery. Developed cloud-native ML pipelines using TensorFlow, Scikit-learn, and Vertex AI. Automated data ingestion workflows. Deployed services via Helm on Kubernetes. Created interactive dashboards using Plotly Dash.

Associate Engineer – Android/Java — Foxconn Technology Group, India (Jun 2022 – Aug 2023)

Developed Android applications using Java and Kotlin (MVVM/MVP). Built and maintained RESTful APIs. Implemented multithreaded processing using Executors, LiveData, and WorkManager. Integrated Dagger-Hilt and Room. Wrote unit and UI tests with JUnit, Mockito, and Espresso.

Machine Learning Intern — Grroom, India (Jul 2021 – Sep 2021)

Worked on YOLO-based image processing pipelines. Designed model performance testing workflows. Applied data preprocessing and model benchmarking.

M.Sc. Big Data and Artificial Intelligence — SRH University of Applied Sciences, Berlin (Sep 2023 – Sep 2025)

Bachelor of Technology in Computer Science — Vellore Institute of Technology, India (May 2018 – May 2022)