NANDISH KARKI — AI Researcher

Master's student in Data & Knowledge Engineering @ OVGU with 3.3+ years of professional experience @ Clarivate, where I built end-to-end ETL pipelines using AWS Glue, Redshift, PySpark, and Airflow—processing terabytes of data across staging and production environments while implementing CI/CD workflows with Jenkins. Currently working as a Research Assistant (AI/ML & Data Engineering) at Otto-von-Guericke University, designing full-stack deep learning systems for Real time Speech-to-Speech Translation. My work bridges data infrastructure and AI systems—from SQL optimization and ETL development to LLM-based applications with RAG architecture. 🎓 Certified Professional Data Scientist (DataCamp) | SQL Advanced (HackerRank) 💼 Technical Expertise: • Data Engineering: ETL pipelines, AWS (Glue, Redshift, S3), BigQuery, GCP, Apache Airflow, PySpark, SQL query optimization, data quality validation • AI/ML Development: LLMs, RAG (LangChain, ChromaDB, Ollama), PyTorch, TensorFlow, Hugging Face transformers, model deployment, prompt engineering • Data Science: Python (Pandas, NumPy, Scikit-Learn), statistical analysis, data visualization (Matplotlib, Seaborn, Tableau), A/B testing, predictive modeling • DevOps & Tools: Docker, Jenkins CI/CD, Git, GitHub Actions, Postman, REST APIs, Agile methodologies 🔬 Recent Projects: → AI-Powered Learning Assistant: Full-stack RAG application with Flask backend, ChromaDB vector store, and Gradio UI for PDF/DOCX document processing → Audio Steganalysis Pipeline: CNN-based deep learning system for hidden message detection with Dockerized deployment and real-time inference → Production ETL Systems: Built and maintained data pipelines processing 5TB+ monthly across AWS infrastructure 🔍 Seeking Werkstudent opportunities (up to 20 hrs/week) in: • Data Engineering (SQL, ETL, cloud data platforms, data pipelines) • Data Science (analytics, machine learning, statistical modeling) • AI/ML Engineering (LLMs, deep learning, model deployment, MLOps) 📍 Location: Magdeburg, Germany | Open to on-site, hybrid & remote 📫 Let's connect if you're building data-driven or AI-powered solutions!

Stackforce AI infers this person is a Data Engineering and AI/ML specialist in the SaaS industry.

Location: Magdeburg, Saxony-Anhalt, Germany

Experience: 3 yrs