Ajay P.

M.Sc. Digital Engineering @ Bauhaus University | Specializing in GenAI Applications | Developing End-to-End AI Solutions

Weimar, Germany

Experience

Oct 2024 - Mar 2025
6 months
Hybrid

Research Student

Bauhaus-Universität Weimar

  • Built a transparent classifier using rational functions, with 90%+ accuracy on MNIST.
  • Tech. Stack: Python, NumPy, SciPy, Scikit-Learn, CuPy, CUDA, SageMath, Gurobi
May 2021 - May 2022
1 year 1 month
India
On-site

GET (Technical Coordinator)

Jendamark India

  • Led cross-functional automation projects
  • Resolved design/manufacturing issues with data-driven analysis
Apr 2021 - Jun 2021
3 months
India
Hybrid

CAE Engineer (Intern)

Simulation Lab India

  • Performed ANSYS CFD analyses
  • Contributed to provisional patent (202021047472)

Summary

I am a master’s student in Digital Engineering at Bauhaus-Universität Weimar, with a focus on Generative AI, NLP, and Machine Learning. My background in mechanical engineering allows me to approach AI challenges with a practical mindset, building solutions that range from interactive applications to end-to-end cloud deployments. I constantly work on designing models that are both transparent and effective, ensuring that I can deliver real-world impact.

I have experience in using tools like Python, NumPy, and SciPy to develop high-accuracy classifiers and streamline technical workflows. I pride myself on my problem-solving skills and my ability to translate complex issues into simple, data-driven solutions that address real challenges.

Languages

Hindi
Native
Marathi
Native
English
Advanced
German
Elementary

Education

Oct 2023 - Present

Bauhaus-Universität Weimar

M.Sc. Digital Engineering (Focus: ML, DL & GenAI) · Digital Engineering · Weimar, Germany

Jun 2015 - Jun 2019

Savitribai Phule University

BE · Mechanical Engineering · India · 2.12

Certifications & licenses

Python for Data Science

IBM SkillsBuild

ProTELC Master Science Camp: Biodiversity Monitoring – Advanced Signal Analysis & AI Applications for Bird Vocal Recognition

Technische Universität Ilmenau

Industrial Training on Process and Materials Engineering

Euclid Labs

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