Ajay P.
M.Sc. Digital Engineering @ Bauhaus University | Specializing in GenAI Applications | Developing End-to-End AI Solutions
Experience
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
GET (Technical Coordinator)
Jendamark India
- Led cross-functional automation projects
- Resolved design/manufacturing issues with data-driven analysis
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
Education
Bauhaus-Universität Weimar
M.Sc. Digital Engineering (Focus: ML, DL & GenAI) · Digital Engineering · Weimar, Germany
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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