Open to opportunities

Rohan Munshi

@rohanmunshi

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Data Engineer specializing in AI and big data solutions.

Germany

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What I'm looking for

I am looking for a dynamic role that fosters innovation and collaboration, where I can apply my data engineering skills to solve complex challenges and contribute to impactful projects.

I am a passionate Data Engineer with extensive experience in designing and implementing data solutions that drive business value. My journey began with a Bachelor's degree in Computer Science and Engineering, followed by a Master's in Data and Knowledge Engineering. I have honed my skills in data architecture, machine learning, and big data technologies, enabling me to create robust data pipelines and analytics-ready datasets.

At Talonic, I designed an end-to-end document intelligence pipeline that transformed unstructured data into actionable insights. My work involved fine-tuning NLP models and deploying cloud-native architectures, which significantly improved data processing efficiency. I thrive in collaborative environments, having facilitated workshops to align data strategies with business objectives, ensuring successful project adoption and execution.

Throughout my career, I have worked with various technologies, including Azure, GCP, and AWS, and have developed a strong foundation in ETL processes, data warehousing, and machine learning. I am eager to leverage my expertise to tackle complex data challenges and contribute to innovative projects that harness the power of data.

Experience

Work history, roles, and key accomplishments

Current

Data and AI Engineer

Current

Talonic

Apr 2024 - Present (1 year 3 months)

Designed an end-to-end document intelligence pipeline for converting unstructured data into structured datasets. Developed RAG workflows to enhance knowledge discovery and fine-tuned NLP and vision models for improved accuracy. Outlined cloud-native architectures and deployed microservices with CI/CD.

Python RAG Architecture NLP Cloud Architecture Microservices CI CD Data Engineering Stakeholder Engagement Data Pipelines

Master’s Thesis – Data & AI Engineer

Pragmatic industries GmbH

Jul 2024 - Aug 2024 (1 month)

Extracted information from technical PDFs using multimodal ML models. Developed rule-based models for data extraction and fine-tuned NER models for accurate classification.

Data Extraction NER BERT Machine Learning Information Retrieval

Data Scientist Intern

Index Exchange

May 2024 - Jun 2024 (1 month)

Collaborated with teams to enhance system efficiency using data-driven insights and ML algorithms. Utilized AWS S3 for data processing and implemented MLOps with Docker and Kubernetes for real-time data ingestion.

AWS S3 Algorithms MLOps Docker Kubernetes Airflow Data Pipelines Data Analysis Collaboration

Data Engineer

Ek Robotics

Oct 2022 - Mar 2024 (1 year 5 months)

Developed a scalable data warehouse using Azure technologies to manage large data volumes. Implemented Azure Logic Apps for automation and enhanced OLAP DataMart through dimensional modeling.

Azure Blob Storage Data Lake Logic Apps Apache Spark Databricks OLAP Data Modeling Power BI

Data Engineer

Tata Consultancy Services

Jul 2019 - Apr 2022 (2 years 9 months)

Developed ETL solutions using Informatica PowerCenter and managed large datasets with Hadoop and Hive. Coordinated statistical data analysis and performed data profiling using SQL.