Uddipan Basu Bir-Research Team Member
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Experience
Research Team Member
Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Master Thesis: From Pixels to Structure: Analysis of Lightweight Vision-Language Models for Document OCR and Structured Output
Friedrich-Alexander-Universität Erlangen-Nürnberg
- Fine-tuning multimodal and OCR-based VLMs (with PEFT -LoRA, QLoRA, Unsloth) to extract text in a structured manner from historical handwritten and printed industrial records.
- Conducting comparative model analysis.
Working Student – Applied AI Engineer
Siemens AG
- Building Helix AI chatbots and RAG pipelines with Azure OpenAI.
- Creating a PoC of Agent-based modelling using AgentTorch.
- Tools & Technologies: Microsoft Co-pilot Studio, Azure Machine Learning, Azure Open AI, LangChain, PyTorch, Azure Cosmos, Azure AI Search, Helix AI, Postman Collection
AI Application Research Project, Computer Vision
Institute for Factory Automation and Production Systems (FAPS Lab)
- Developed a multi-modal multi-view multi-task deep learning pipeline for classification of quality monitoring in industrial manufacturing.
Working Student - Data Analyst
Schaeffler
- Development of interactive Microsoft PowerBI dashboards for BOM and financial data.
- Data wrangling, preprocessing and data modeling.
- Built low-code business apps in Microsoft PowerApps, integrating SharePoint and Dataverse and automating workflows with Power Automate.
- Tools & Technologies: PowerBI, Power Apps, Power Automate, SAP, Dataverse, Microsoft Power Platform
AINatives Hackathon 2024
Iba GmbH & BEST Erlangen
- Anomaly detection in time series sensor data using autoencoders and isolation forest.
- Development of end-to-end AI enabled web application using Streamlit.
Data Engineer
Tata Consultancy Services
- Migrate legacy Ab Initio graphs to PySpark + Airflow.
- Built GitHub Actions CI/CD to test PySpark code, validate DAGs, and auto-deploy pipelines.
- Tools & Technologies: Airflow, GitHub Enterprise, Python, Unix, Autosys, Ab-initio, SQL Indexing, Window Functions, CTEs, SQL Procedures, ServiceNow
Data Analyst
Tata Consultancy Services
- Design and maintain efficient data pipelines, dashboards, and analytics solutions to support decision-making.
- Experienced in financial data analysis including MRR, ARR, and P&L reporting.
- Tools & Technologies: PowerBI, PowerApps, SQL, Python
Industry Experience
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Experienced in Information Technology, Education, Manufacturing, Automotive, and Arts and Crafts.
Business Area Experience
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Experienced in Business Intelligence, Finance, Information Technology, Research and Development, Product Development, and Quality Assurance.
Summary
- Masters Degree in Data Science with specialization in Artificial Intelligence and Machine Learning
- Bachelors Degree in Computer Science and Engineering
- Experience working as Data Analyst, Data Engineer, AI & ML Engineer
Skills
- Programming Languages: Python, Sql, Unix Shell Scripting, Typescript
- Machine Learning & Deep Learning Frameworks: Pytorch, Pytorch Lightning, Scikit-learn, Xgboost, Statsmodels
- Nlp / Llm Tooling: Hugging Face Transformers, Langchain, Langgraph, Groq Cloud, Swift (Llm Fine-tuning), Llama-factory, Nltk, Spacy, Vllm, Langflow, N8n
- Vector Databases: Opensearch, Qdrant, Faiss, Chroma
- Data Validation & Model Serialization: Pydantic, Onnx
- Ci/cd & Deployment: Github Actions, Docker, Kubernetes
- Data Engineering & Orchestration: Pyspark, Apache Spark, Airflow
- Cloud & High Performance Computing: Azure, Aws, Hpc
- Experiment Tracking, Hpo: Opik, Mlflow, Weights&biases (Wandb), Tensorboard, Optuna, Zenml
- Web & Api Frameworks: Fastapi, Flask, Node.js, Streamlit
- Data Visualization & Bi: Powerbi, Power Automate, Power Apps
Languages
Education
Friedrich-Alexander-Universität Erlangen-Nürnberg
M.Sc. Data Science, specialization in AI & ML · Data Science · Erlangen, Germany
Maulana Abul Kalam Azad University of Technology
Bachelor of Technology in Computer Science & Engineering · Computer Science & Engineering · Kolkata, India
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Experience
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