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Achievements

Achievement: Pull Shark

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Achievement: Pull Shark
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SreeEswaran/README.md

Professional Summary

I'm currently an AI Mentor, Coach, AI Speaker, Freelance AI Developer and Researcher. Tech savvy with expertise in AI, cloud and IoT. Proficient in programming, project management, mentoring and more. A techie with knowledge in several technologies which includes Web, Game and Android Dev, DevOps and have donated 4 customized projects which were built on IoT.

Profile views

Technical Skills

  • Programming Languages: Python, Java, C/C++, Kotlin (intermediate), C#.
  • AI and ML: TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy, OpenCV, Generative AI, LLM, RAGs, GANs, ASR models, Translation models, GPT series, Transformers, Hugging Face.
  • Cloud Services: AWS, Google Cloud Platform (GCP), Microsoft Azure.
  • Web Development: HTML5, CSS, JavaScript, Node.js, Express.js.
  • Databases: MySQL, MongoDB, Google Firebase, SQLite, Apache Cassandra, Neo4j.
  • Tools & Frameworks: Git, GitHub, Docker, Jenkins, Kubernetes, Ansible, FastAPI, Flask, CI/CD.
  • Development: Web, Game (Cloud and Unity based), Android, Web3.

Languages and Tools

HTML5 CSS3 JavaScript Node.js SQLite PHP React Express.js MongoDB

My GitHub Stats

Top Langs SreeEswaran's GitHub stats

GitHub Streak

Projects

  • Deep Dub: Developed a deep learning model for video translation.
  • Pronunciation Model: Created a pronunciation rating system using AI models.
  • Text Translator: Developed a full-stack app for language translation.
  • LLM Telegram Bot: Built a Telegram bot with AI integration.
  • Smart Invigilation System: Developed an exam invigilation app.
  • Smart Gloves & MediServe: IoT applications for assisting the blind and elderly.
  • For more do check out the repositories

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  1. KAN-based-Movie-Review-Sentiment-Analysis KAN-based-Movie-Review-Sentiment-Analysis Public

    This project showcases the implementation of a Knowledge-Aware Neural Network (KAN) for sentiment analysis on movie reviews using the IMDb dataset. The KAN model integrates traditional neural netwo…

    Jupyter Notebook 1

  2. NST-for-Artistic-Image-Creation NST-for-Artistic-Image-Creation Public

    This project focuses on Neural Style Transfer (NST), a technique that applies the style of one image to the content of another image, creating a new, stylized image. NST leverages deep learning mod…

    Python 1

  3. Text-Generation-using-T5 Text-Generation-using-T5 Public

    This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

    Jupyter Notebook 1

  4. Image-Captioning-Transformer Image-Captioning-Transformer Public

    This project demonstrates an image captioning model using a Transformer architecture. The model takes an image as input and generates a descriptive caption. We use the COCO dataset for training and…

    Python 1

  5. Image-Classification-using-EfficientNet Image-Classification-using-EfficientNet Public

    This project uses a pre-trained EfficientNet model to classify images into different categories. The model is fine-tuned on a custom dataset for this purpose.

    Jupyter Notebook 1

  6. Text-Summarization-using-BART Text-Summarization-using-BART Public

    This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective f…

    Python 2