👋 Hello! I'm Atharva Laud, an engineer passionate about building intelligent systems that solve real-world problems. With a background in AI and a specialization in Data Analytics, I've evolved from analyzing complex datasets to architecting full-stack AI applications and researching cutting-edge machine learning techniques. 🔍 I'm currently focused on the intersection of generative AI, adversarial machine learning, and production-ready AI systems. My recent work spans:
- Orqa: An AI-powered educational platform using RAG and agentic workflows to reduce educator workload by 60%
- Adversarial Diffusion: Novel defense frameworks using DDPMs to harden fraud detection systems against evasion attacks
- Quantitative Trading: Multi-modal ensemble models combining FinBERT sentiment analysis with macroeconomic indicators for S&P 500 prediction
- Molecular Dynamics: GPU-accelerated protein simulation using NVIDIA Warp for structural biology research
💻 I work across the full AI stack—from training diffusion models and implementing adversarial attacks to building production web applications. My toolkit includes Python, PyTorch, TensorFlow, React, TypeScript, MongoDB, Docker, and modern ML libraries. I love diving deep into transformer architectures, generative models, and GPU-accelerated computing.
🌱 I'm currently exploring agentic AI systems, multimodal learning, and the robustness of financial ML models. When I'm not training models or optimizing CUDA kernels, you might find me hiking through Vancouver's trails or experimenting with new recipes.
🤝 Let's connect! I'm always open to collaboration on interesting AI/ML projects, research opportunities, or just chatting about the latest in generative AI. Feel free to explore my repositories and reach out!
📍 Based in Canada | Open to relocation