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About / Engineering & Intelligence

Germany

Building intelligent systems,grounded in engineering.

I’m a machine learning and AI engineer based in Germany, with a background spanning software engineering, data science, and computer vision.

My work focuses on translating complex technical problems into practical systems—from data pipelines and predictive models to industrial vision applications and LLM-powered tools.

What interests me most is the engineering that connects a promising model to a reliable, useful application.

Connected disciplines
Reliable foundations. Clear interfaces. Maintainable systems.
Software, data, models—and the connections between them.Follow the journey

01 / My Journey

From Software to
Intelligent Systems

A conceptual progression across overlapping disciplines—not separate employment periods.

Engineering focus

Software Engineering

Built a foundation in reliable applications, data workflows, and production-oriented systems.

  • Reliable applications
  • Data workflows
  • Maintainable software

Representative tools from my portfolio

Python / SQL / Git / CI/CD

Relevant professional experience

Accenture

2017 — 2018

Associate Software Engineer

Built and improved software and data workflows with an emphasis on reliability, performance, and delivery.

02 / Engineering Principles

What Drives
My Work

The decisions around a model matter as much as the model itself.

01

Engineering Beyond the Model

A model becomes valuable when it can be evaluated, integrated, maintained, and improved.

Think in systems.
02

Evidence Before Assumptions

Reliable decisions require meaningful metrics, careful experimentation, and an understanding of uncertainty.

Make the reasoning inspectable.
03

Practical Impact

The goal is not to use the most complicated technology, but to build the right solution for the problem.

Let the problem guide the tools.

03 / Technical Expertise

The Tools Behind
the Systems

Explore the disciplines, methods, and project work that inform my approach.

Engineering focus

From information to useful intelligence.

Retrieval, language-model tools, and query-aware workflows that connect questions with relevant evidence.

Core technologies & methods

  • LLMs
  • RAG
  • Embeddings
  • Vector Search
  • Agentic Workflows
  • Prompt Engineering

04 / Education & Research Interests

Academic Foundations

Master of Science

Data and Knowledge Engineering

Otto von Guericke University Magdeburg

Germany

Bachelor of Technology

Information Technology

GITAM University

India

Research interests

  • Machine Learning
  • Visual Computing
  • Knowledge Systems
  • Applied Artificial Intelligence

05 / Beyond the Code

Curious by Nature.
Engineering by Practice.

I enjoy working at the intersection of research and practical engineering, where complex ideas become systems that people can actually use.

My interests span intelligent automation, visual understanding, reliable machine learning, and the broader challenge of making AI useful beyond controlled experiments.

I’m particularly interested in opportunities that combine technical depth, thoughtful engineering, and meaningful real-world applications.

Explore My Projects Get in Touch