About me

I'm a Data Science master's student from Indiana University Bloomington, passionate about Machine Learning, Artificial Intelligence, and Reinforcement Learning. I enjoy transforming complex algorithms into real-world, impactful solutions.

My work focuses on building intelligent systems that are not only powerful but also practical and efficient. I add a personal touch to every project, ensuring they are innovative and easy to understand. My goal is to turn ideas into working models that push the boundaries of AI. I've worked on advanced projects in computer vision, NLP, and multi-agent systems, creating solutions that make a difference.

What I'm doing

  • ML icon

    Machine Learning

    Building intelligent systems that solve real-world problems using data-driven approaches.

  • Cloud DevOps icon

    DevOps & Cloud Engineering

    Automating workflows and deploying scalable AI/ML solutions in cloud environments.

  • Software Development icon

    Software Development

    Developing reliable and efficient software solutions across various domains.

  • Research icon

    Research & Innovation

    Exploring advanced topics like reinforcement learning and multimodal LLMs to push the boundaries of AI.

Daniel lewis
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Daniel lewis

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Resume

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Education

  1. Indiana University Bloomington

    Aug 2023 — May 2025

    Master of Science in Data Science — CGPA: 3.90/4.00
    Relevant Coursework: Applied ML, AI, Statistics, Computer Vision, NLP, Robotics, Deep Learning Systems.

  2. Anna University

    May 2015 — June 2019

    Bachelor of Engineering in Computer Science and Engineering — CGPA: 8.34/10.00

Experience

  1. Faculty Assistant - Data Science, IU School of Optometry

    Jan 2025 — Present

    Facilitated data analysis for the Walking Project, optimizing 3D terrain reconstruction workflows and reducing model time by 25%.

  2. Emerging Tech Intern, AI Specialist - Musco Lighting

    May 2024 — Aug 2024

    Built MLOps framework with DVC & GitLab CI, cutting model deployment time by 40%. Integrated YOLOv5 and MLflow for automated tracking across 5+ projects.

  3. DevOps Engineer, MTS II - VMware

    Feb 2022 — Jun 2023

    Automated TAP cloud installations (EKS, TKGM, TKGS) and improved test coverage from 20% to 75% in the GO e2e framework.

  4. Cloud Engineer - Presidio

    May 2019 — Jan 2022

    Designed CI/CD pipelines with Jenkins & GitHub Actions; implemented Terraform on AWS for clients like ViacomCBS & Wex.

My Skills

  • Machine Learning & Deep Learning
    85%
  • MLOps & Cloud Engineering
    85%
  • DevOps & Automation
    90%
  • Software Development
    65%

Tech Stack & Tools

  • Programming Languages

    Java, Groovy, Golang, Python

  • Development Frameworks

    Spring, Flask

  • ML Libraries & Tools

    Scikit-learn, NumPy, TensorFlow, PyTorch, Hugging Face, LangChain, SpaCy, MLflow, DVC, ROS2, Open3D

  • ML Models

    Transformers (ViT), LLMs (BERT, GPT, LLaMA 2), Diffusion Models, RL Models (DQN, Vanilla Policy Gradients, PPO)

  • Cloud Providers

    AWS

  • DevOps Tools & Services

    Docker, Kubernetes, VMware Tanzu, Terraform, CloudFormation, Chef, Helm, Jenkins, Git, Concourse, GitLab Pipelines

  • Operating Systems

    macOS, Linux, Windows

  • Databases

    MySQL, RDS, DynamoDB

Contact

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