Rima Modak
About Me
Cloud-native Data Analytics Engineer with experience in AI-driven analytics, NLP, Generative AI, and real-time data engineering. Specializing in building intelligent data platforms using Azure, Databricks, Spark, Snowflake, and LLMs for cross-industry digital transformation.
Proven success in deploying LLM-powered RAG pipelines, orchestrating streaming analytics with Kafka and Event Hubs, and scaling MLOps across containerized cloud architectures. Adept at turning raw data into automated insights and interactive dashboards that drive enterprise decisions in sectors like telecom, insurance, healthcare, and finance. Passionate about transparency in data science, reproducibility, and crafting solutions that blend GenAI innovation with business strategy.
Education
Masters of Science
in Computer Science and Engineering
Santa Clara University
California (SCU), USA
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Artificial Intelligence & Generative Machine Learning: Specialized in deep learning architectures, transformer models, LLMs (e.g., GPT, Claude), and Retrieval-Augmented Generation (RAG). Applied AI for predictive modeling, semantic search, and real-time decision systems.
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Cloud-Native Data Engineering: Gained hands-on experience with Azure, AWS, and GCP. Built scalable ETL/ELT pipelines, automated workflows with Airflow, and deployed models on Kubernetes and Docker environments.
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Intelligent Applications Development: Developed microservices and real-time analytics platforms using Databricks, Spark, and Power BI. Integrated APIs with cloud-native GenAI solutions and NLP pipelines.
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Capstone Focus: Built a cross-domain AI solution leveraging LangChain, LLMs, and Snowflake to deliver real-time insights in insurance and telecom datasets.
Bachelors of Technology
in Computer Science and Engineering
University of Petroleum and Energy Studies (UPES), Dehradun, India
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Graduated with a strong foundation in distributed systems, software engineering, and data structures.
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Focused on modern tech domains: IoT, Cloud Computing, Smart Infrastructure, and Cybersecurity.
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Completed hands-on projects involving data streaming, anomaly detection, and AI for smart cities.
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Developed early-stage mobile and web applications using Flutter, React, and Python—enabling an understanding of cross-platform and user-centered design.
Projects
Contact
Phone:
Let’s Work Together
Thank you for visiting my portfolio! If you have any questions or would like to discuss a potential project, please feel free to reach out to me. I am always excited to collaborate and create innovative solutions.