Building intelligent software systems at the intersection of
research, engineering, data, and automation
π Stuttgart, Germany
π§ vishnudevramachandra@gmail.com
πΌ LinkedIn: vishnudevramachandra
I am a software engineer with 10+ years of experience developing software for scientific research, data-driven applications, and complex technical systems.
My background combines:
- π§ Scientific software engineering
- π€ Machine learning and AI applications
- βοΈ Systems programming and backend development
- π Data analysis and engineering
- π’ Enterprise application development
After many years building research software for neuroscience, I am currently focusing on AI-powered applications, intelligent automation, and scalable software systems.
- Building AI agents and tool-based automation systems
- Exploring enterprise AI workflows and ERP integration
- Developing robust backend and systems-level software
- Improving software architecture and engineering practices
Python β’ C β’ C++ β’ JavaScript β’ MATLAB β’ SQL
- Machine Learning
- Statistical Modeling
- Data Analysis
- Feature Engineering
- Classification & Regression
- Clustering
- Dimensionality Reduction
Libraries:
NumPy SciPy Pandas scikit-learn TensorFlow/Keras
- Linux / Unix systems
- Socket programming
- HTTP servers
- Processes and threads
- Mutexes and synchronization
- API design
- Software architecture
Technologies explored through projects and professional training:
- SAP BTP
- SAP CAP
- SAP HANA
- SAPUI5 / Fiori Elements
- ETL pipelines
- Apache Spark
- Apache Kafka
- Hadoop ecosystem
Primary Contributor Β· Collaborative Project
C++ event-driven HTTP/1.1 web server developed as part of the 42 curriculum.
Main contributions:
- Server architecture design
- HTTP request processing
- Configuration management
- CGI handling
- Networking logic
- Performance and reliability improvements
Repository: https://github.com/CedricBauer00/Webserv
Independent Project Β· Enterprise AI & ERP Integration
Proof-of-concept demonstrating how an AI agent can act as an intelligent interface for enterprise resource planning systems.
The project explores agent-based reasoning, tool orchestration, and safe interaction with ERP data using Claude and PostgreSQL.
Main contributions:
- Designed a realistic ERP domain model based on industrial service processes
- Implemented AI-driven tool orchestration for database interaction
- Built schema discovery capabilities for dynamic ERP understanding
- Developed controlled transaction workflows for safe data modification
- Applied enterprise software principles to AI system integration
- Documented architectural decisions for scalable ERP automation
Repository: https://github.com/vishnudevramachandra/Agentic-ERP-Assistant
Scientific software framework developed for high-precision electrophysiological measurements during transcranial magnetic stimulation.
Highlights:
- Python-based analysis framework
- Data validation pipelines
- Signal processing
- Machine learning workflows
- Reproducible scientific analysis
A C/C++ ray tracer exploring:
- Graphics algorithms
- Mathematical modelling
- Rendering pipelines
- Performance optimisation
Unix shell implementation featuring:
- Process creation
- Pipes
- Redirections
- Signal handling
- Environment management
AI-focused project exploring intelligent software solutions for child safety.
Enterprise application project exploring:
- SAP Business Technology Platform
- SAP CAP
- SAP HANA database
- SAPUI5 application development
You can find my latest work and contributions in my repositories:
- π§ Scientific computing & neuroscience software β TMS-TG
- βοΈ Systems programming β 42Projects-Minishell
- π¨ Computer graphics β 42Projects-Minirt
- π€ AI applications β ChildSafeAI
42 Heilbronn
Project-based software engineering program focusing on:
- Low-level programming
- Algorithms
- System design
- Code quality
- Peer-reviewed development
Graduate School of Neural & Behavioral Sciences
University of TΓΌbingen
Previously developed scientific software at:
- Hertie Institute for Clinical Brain Research
- Max Planck Institute for Biological Cybernetics
- Max Planck Institute for Neurobiology of Behavior
Research software involved:
- Large-scale experimental data processing
- Automated analysis workflows
- High-precision measurement systems
- Computational neuroscience
- IBM Data Science Professional Certificate
- IBM Data Engineering Professional Certificate
- SAP Digital Trust Challenge
π§ vishnudevramachandra@gmail.com
πΌ LinkedIn: http://www.linkedin.com/in/vishnudevramachandra
"Building software that connects scientific insight, engineering discipline, and intelligent automation."

