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re-imagining world with AI
πŸŒ€
re-imagining world with AI
  • India
  • 20:56 (UTC +05:30)

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TechWithRamaa/README.md

🐼 Hello, World!

  • I'm Ramadhevi RK (Ramaa) | She/Her
  • Practicing Software Engineering, supercharging existing systems with AI to create products that meets tomorrow's challenges

πŸ₯‘ About Me

  • Current Gig: Software Developer at Oracle, India (building technologies & scaling Credits Suite to millions of users)
  • Previous Adventure: Worked at Kovan Labs (where we turned wild ideas into reality!)
  • Education: Holds Master of Science in Software Engineering and a proud alumna of PSG Tech

πŸ„β€β™€οΈ My Passion

  • Having fun deconstructing complex challenges into simpler ones and turning ideas -> design and design -> scalable solutions
  • Think of me as a tech alchemist β€” turning ideas into digital gold !

🍁 Summary

  • Dynamic Software Developer: Thrives on tackling real-world challenges, enjoys building tools and technologies, and explores the nuts & bolts of well-thought-out architectures
  • User-Centric Focus: Committed to delight users by delivering innovations and experiences
  • Champion of Sustainability: Practising, applying best principles for delivering high-performant, eco-friendly PRODUCTs
  • Innovative Mindset: Solving once-impossible challenges and incorporating into systems with the power of technology and AI

πŸ‹β€πŸŸ© Skills & Expertise

  • Programming Languages:

    • Driving computers with Modern C++20, Java 17, and Python 3.13 (Yes, I keep my codebase cleaner than my desk!)
  • Core Competencies:

    • Data Structures & Algorithms
    • System Design & Design Patterns ( Designing systems that don’t break under pressure )
    • Software Engineering & Distributed Systems ( Because who likes to go solo ? )
    • AI & Machine Learning
    • Prompt Engineering ( Crafting prompts & elevating user experience with sytems)

πŸ›Ί Currently interested in

  • Diving deep into Distributed Systems
  • Best Practices for Scalable & Reliable Solutions
  • Performance Tuning
  • Traditional ML & Generative AI
  • LLMs & RAG
  • Vector Similarity Search
  • DevOps & Cloud Systems

πŸͺΈ About my Toolbox

Proficient in a diverse set of tools and technologies blessed by the Cloud Native Computing Foundation

🌍 Open Source Advocate

  • Thrilled to be part of the open-source community β€” learning, contributing, and evolving!
  • Together we make the world more beautiful with technology

πŸ’« Get in Touch

  • Thanks for stopping by my profile! Let’s build something amazing together!
  • Drop me a mail at [email protected]

‼️ Disclaimer:

  • The thoughts expressed here are all mine β€” my employer may or may not approve of my quirky sense of humor!

Pinned Loading

  1. NLP-in-Tensorflow NLP-in-Tensorflow Public

    Building natural language processing systems using TensorFlow starting from processing text to creating POETRY with neural networks (LSTMs)

    Jupyter Notebook

  2. FoodSenseAI FoodSenseAI Public

    a COMPUTER VISION problem solved using convolutional neural networks, and transfer learning to classify and analyze food across 11 diverse categories.

    Jupyter Notebook

  3. ConvNets-in-Tensorflow ConvNets-in-Tensorflow Public

    Deep dive into ConvNets with a popular Kaggle Cat vs Dog dataset, and techniques that can improve ConvNet performance, particularly when doing image classification

    Jupyter Notebook

  4. ml-book-similarity-recommender ml-book-similarity-recommender Public

    A ML powered recommender, uses vector embeddings and similarity search to deliver personalized book recommendations. Let the books find you!

    Java

  5. Deep-Learning-in-Tensorflow Deep-Learning-in-Tensorflow Public

    A series of Python notebooks that delves into foundational concepts and practical applications of deep learning using TENSORFLOW

    Jupyter Notebook

  6. Forecasting-in-Tensorflow Forecasting-in-Tensorflow Public

    Experimenting time-series data, learning seasons, trends and FORECASTING future values in the time-series like the number of visitors to a web site

    Jupyter Notebook