Welcome to my GitHub profile! I am a Software Developer with a strong foundation in Deep Learning & AI, along with expertise in Backend Development. I specialize in building intelligent systems and scalable backend applications using Python, integrating advanced Machine Learning techniques to solve real-world problems.
- 🤖 Frameworks: TensorFlow, PyTorch, Keras, FastAI
- 🔢 Models: CNNs, RNNs, LSTMs, GANs, Transformers (BERT, GPT-3)
- 💾 Data Science: NumPy, Pandas, SciPy, Matplotlib, Seaborn
- 🧮 Algorithms & Optimization: Gradient Descent, Backpropagation, Reinforcement Learning, Hyperparameter Tuning
- 🌐 Generative AI: GPT, VQ-VAE, CLIP
- 💻 Languages: Python, SQL
- 🌐 Frameworks: Flask, Django, FastAPI
- 🛠 Tools: Celery, Redis, RabbitMQ, Docker
- 🗄️ Databases: PostgreSQL, MySQL, MongoDB
- 🧑💻 Testing: Pytest, UnitTest
- 🚀 Deployment: Heroku, AWS, Docker, CI/CD
💻 I am a Knight-level coder on LeetCode, ranking in the TOP 5% of coders worldwide! 🏆
I enjoy solving algorithmic challenges and optimizing my solutions to handle real-world scenarios, especially in backend development. Solving problems is one of my passions, and I strive to continuously improve my skills!
I have contributed to the fields of Deep Learning and AI through my academic and research work. Below are some of my notable publications:
-
Personalization and Customization of LLM Responses
A research paper on deep learning techniques in Natural Language Processing (NLP), focusing on personalizing LLM responses. -
Image Classification of White Blood Cells Using Deep Learning Models
A study on using Deep Learning models for classifying white blood cells, aimed at medical diagnosis through image recognition.
You can find my Resume (PDF) here. Feel free to download or view it directly.
- 🦸♂️ LinkedIn: linkedin.com/in/joevarghese
- 📧 Email: joevar541@gmail.com