Mirza Alam

Wissenschaftlicher Mitarbeiter at FIZ Karlsruhe - Leibniz Institute for Information Infrastructure

Cologne, North Rhine-Westphalia, Germany
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Summary

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Top School
Mirza Alam is a data scientist and machine learning engineer with 8 years of experience building production-ready AI systems for healthcare and conversational agents from Cologne, Germany. He architected LLM-powered question-answering and dialogue systems using LangChain, Hugging Face models, FAISS, and Azure OpenAI, and led a preprocessing and RL-based ICU decision-support pipeline that secured multi‑year EU funding. His work on intent classification and knowledge-graph-aware loss functions has measurably improved benchmarks, while he pairs research rigor with practical deployment skills (Docker, MLflow, Weights & Biases). Comfortable bridging multidisciplinary teams, he also brings teaching and game-development experience that informs his user-centered interfaces and explainable NLP solutions.
code7 years of coding experience
job4 years of employment as a software developer
bookBachelor of Computer Science, Computer Science, 3.83 / 4.00 (4 best 1 worst), Bachelor of Computer Science, Computer Science, 3.83 / 4.00 (4 best 1 worst) at BRAC University
bookSecondary School Certificate, Science, SSC, Secondary School Certificate, Science, SSC at Bogra Zilla School, Bogra
bookHigher Secondary Certificate, Science, HSC, Higher Secondary Certificate, Science, HSC at Govt. Azizul Haque College, Bogra
bookMaster's degree, Computer Science, 1.7 / 5.00 (1 best 5 worst), Master's degree, Computer Science, 1.7 / 5.00 (1 best 5 worst) at The University of Bonn
languagesEnglish, Bangla, Hindi, Urdu, German
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Github Skills (4)

python4
graph4
nlp4
knowledge-graph3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:10 commits, 3 pushes in 4 years 1 month
Contributions:8 commits, 5 pushes, 1 branch in 4 years 3 months
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Mirza Alam - Wissenschaftlicher Mitarbeiter at FIZ Karlsruhe - Leibniz Institute for Information Infrastructure