🚀 Full-Stack & AI/ML Engineer building scalable applications, intelligent systems, and cloud-native architectures. 🧠 Deep focus on Generative AI, LLMs, RAG pipelines, and AWS AI services. 💡 Constantly exploring cutting-edge tech and pushing the limits of automation & intelligence.
- 🤖 AI/GenAI: LLMs, RAG, Vector Embeddings, Transformers, LangChain, AWS Bedrock
- 🌐 Full-Stack Web Development (MERN & MEAN)
- ⚡ AI/ML & Deep Learning (PyTorch, TensorFlow, Keras, NumPy, SciPy)
- ☁️ Cloud & DevOps: AWS, Docker, CI/CD Pipelines, Infrastructure Automation
- 🛠 Backend APIs with Node.js, Express.js, FastAPI
- 🗄 Databases: MongoDB, PostgreSQL, DynamoDB
- 🎨 Frontend Frameworks: React.js, Next.js, Angular, TypeScript
- ⚡ Hacker Mindset: Problem solver, fast learner, system builder
💡 Skilled in designing cloud-native, scalable, and secure architectures — from provisioning EC2 instances & VPCs, managing IAM roles/policies, serving static content via S3 + CloudFront, to deploying containerized microservices on ECS and leveraging AWS Bedrock & Polly for GenAI-powered applications.
- 🔍 Building RAG-based intelligent systems using vector databases & embeddings
- 🗣 Voice/AI pipelines using AWS Polly + Bedrock
- 🧬 Exploring transformer architectures & attention mechanisms from first principles
- 📊 Visualizing embedding spaces & token relationships for deeper model interpretability
- 📄 Attention Is All You Need
- 🔡 Tokenization Explained
- 🧩 Vector Embeddings
- 📊 Vector Embeddings Visualizer
- 🔍 Retrieval-Augmented Generation (RAG)
⚡ "Code. Learn. Build. Hack. Deploy. Repeat." ⚡
