About me

Hello, I'm Shrada Chellasami,

A skilled software engineer with over 2 years of hands-on experience in the tech industry. My expertise span areas from Full Stack Development to Large language models and iOS app development, allowing me to stay at the forefront of emerging technologies.

What sets me apart is my problem-solving mindset and ability to navigate complex challenges. I thrive in self-directed environments, embracing intricate projects from concept to completion. As a quick learner and effective communicator, I am constantly seeking opportunities for self-improvement.

I'm passionate about building scalable and reliable systems that facilitate growth and enhance user experience.

What i'm doing

  • Web development icon

    Software Development

    Professionally, I architect and engineer scalable, efficient, and distributed systems with cutting-edge technologies.

  • design icon

    Data Science

    I use data analytics, machine learning modelling, and statistical modeling to uncover insights from complex data, guiding data-driven decisions and innovation.

  • Research icon

    Research

    I am passionate about staying updated of the latest technologies and actively engage in researching and learning about them.

  • camera icon

    Photography

    I capture unique perspectives in photography, embracing minimalism, and also explore art illustration and short film creation.

Resume

Education

  1. Northeastern University Boston, MA, US

    Masters of Science in Computer Science; GPA: 3.9/4.0 August, 2022 - May, 2024

    Design Patterns, Database Management, Algorithms, Data Management Processing, Cloud Computing, Web Development, Human Computer Interaction, Mobile Application Development (IOS)

  2. Dayananda Sagar University Bangalore, KA, India

    B.Tech in Computer Science and Engineering; GPA: 3.6/4.0 August, 2018 - May, 2022

    Data Structures and Algorithms, Object-Oriented Programming, Database and Management Systems, Large Scale Data Systems, Machine Learning, Natural Language Processing, Operating Systems, Applied Linear Algebra

Experience

  1. Juniper Networks California, CA, US

    Software Engineer, ML Intern May, 2023 - Aug, 2023
    • Leveraged large language models (LLMs) to automate code generation of Python scripts to optimize test automation.

    • Developed ETL pipeline using NLP techniques to extract and process data from 1000 Python, YAML, XML files.

    • Loaded processed data into Azure data warehouse optimizing efficiency and scalability of data storage and retrieval.

    • Researched training and fine-tuning procedures for state-of-the-art generative AI LLM models - GPT3, Bert, Roberta.

  2. MARG Innovations Sunnyvale, CA, US

    Software Engineer Intern January, 2022 - June, 2022
    • Developed a secure messaging interface for a startup iOS app using UIKit and XCode, enhancing user engagement during the Software Development Life Cycle (SDLC) leading to a 12% increase in active users.

    • Leveraged Google Firebase NoSQL database query language for optimized data retrieval, reducing latency by 35%.

    • Collaborated across teams using version control systems like Git during code reviews for requirement analysis, robust error handling mechanisms, and decreased crash reports by 18%. Containerized the backend services using Docker.

  3. Dayananda Sagar University Bangalore, KA, India

    Machine Learning Engineer - Research August, 2020 - March, 2022
    • Implemented deep learning regression techniques to quantify skeletal maturity of 5000 patients by identifying landmarks, applying statistical analysis and machine learning algorithms.

    • Utilized Python,TensorFlow,and Keras for developing and deploying deep learning models - VGG16, VGG19.

    • Research published in peer reviewed journal and presented at the Springer ICAIHC conference, 2022.

  4. Dayananda Sagar University Bangalore, KA, India

    Data Science Intern May, 2019 - Jul, 2019
    • Analyzed remote sensing data from MODIS satellite to compute 33 vegetation and water indexes, enhancing output accuracy by 20%.

    • Formulated and executed vegetation index calculations in R, extracting necessary bands from datasets and produced 5 heat map visualizations for analysis after calculating indexes to showcase results.

My skills

Languages
  • Python icon
    Python
  • C icon
    C++
  • Java icon
    Java
  • SQL icon
    SQL
  • JavaScript icon
    JavaScript
Frameworks & Libraries
  • AWS icon
    AWS Services
  • PyTorch icon
    PyTorch
  • TensorFlow icon
    TensorFlow
  • Hugging Face icon
    Hugging Face
  • NumPy icon
    NumPy
  • Pandas icon
    Pandas
Tools & OS
  • Docker icon
    Docker
  • MySQL icon
    MySQL
  • HTML icon
    HTML
  • CSS icon
    CSS
  • Linux icon
    Linux

Projects

Contact

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Contact

I’m actively exploring new opportunities and my inbox is ready and waiting. Whether you're seeking insights, have a query, or simply want to drop a 'hello', I'm here and eager to connect! Expect a swift response—I'm committed to getting back to you as promptly as possible!