Ashish Khanapure

Angestellt, ML / Robotics / SRE Engineer – open to work, Seeking new opportunities
Berlin, Deutschland

Fähigkeiten und Kenntnisse

Oracle
Linux
Hochverfügbarkeit
Maschinelles Sehen
Systemengineering
Kontakt
Incident Management
Anlagenüberwachung
Python
Anwendung
MS Office
Reliability
Software Development
Team work
Microsoft
Docker
Terraform
Kubernetes
Active Directory
System Administration
Windows Server
Windows
AWS
PyTorch
Machine Learning
Deep Learning
Reinforcement Learning
Computer Vision
OpenCV
ROS2
scikit-learn
SQL
Bash
Jenkins
GitHub Actions
CI/CD
MLOps
MLflow
FastAPI
Prometheus
Grafana
Google Cloud Platform
Hadoop
Git
SLAM
Sensor Fusion
Pandas
PowerShell
Site Reliability Engineering

Werdegang

Berufserfahrung von Ashish Khanapure

  • Bis heute 1 Monat, seit Okt. 2026

    ML / Robotics / SRE Engineer – open to work

    Seeking new opportunities

    Open to full-time roles in Germany: ML Engineering, Computer Vision, Robotics, MLOps, SRE/DevOps. MSc AI (BSBI Berlin, 2026) + 3 years production support at TCS. German work permit, no sponsorship needed.

  • 2 Jahre und 11 Monate, Nov. 2021 - Sep. 2024

    Systems Engineer

    Tata Consultancy Services

    L2 support for a mission-critical Java/Hadoop margin system at a UK investment bank: 99.9%+ uptime, 16-hour daily incident coverage with a 5-person team. Deployment coordinator for production releases and rollbacks; incident, problem and change management within SLA. Built a PowerShell log parser that cut manual log investigation ~20%. Batch delivery on Linux/Hadoop, AutoSys failure troubleshooting, SQL data extraction.

  • 2 Monate, Mai 2020 - Juni 2020

    Data Science Intern

    Tech Smart Systems

    Remote internship. Implemented classification and regression models with Python, scikit-learn and Keras (preprocessing, feature engineering, cross-validation). Cleaned and transformed raw datasets with Pandas/NumPy, ran EDA, and delivered a final project on model training results and performance metrics.

Ausbildung von Ashish Khanapure

  • 1 Jahr und 7 Monate, Feb. 2025 - Aug. 2026

    Artificial intelligence

    Berlin School of business and innovation

    Robotics Engineering pathway. Thesis: Deep RL for adaptive Vision-LiDAR sensor fusion / SLAM in dynamic environments (86/100). Coursework: Advanced Robotics, Computer Vision, Automation, Machine Learning, Ethics & Legal Framework in AI.

  • 2017 - 2021

    Engineering

    K. K. Wagh Institute of Engineering Education & Research (Savitribai Phule Pune University)

Sprachen

  • Englisch

    C1 (Fließend)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

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