- 🔭 I’m currently working on Physics-Informed Neural Networks, LLM-based pipelines, and Multimodal AI systems.
- 📚 I’m actively learning LLMs, Edge ML, and Scientific Machine Learning.
- 🚀 I’m passionate about AI research, scientific computing, and building scalable ML systems.
- 🤝 I’m looking to collaborate on open-source ML tools and innovative AI projects.
- 💬 Ask me about Computer Vision, PyTorch, LLMs, NLP, and ML Deployment.
- 📄 View my experience here (Resume)
- 🔗 Check out my work on GitHub
- 📷 Computer Vision & 3D Perception: 2d/3d Object detection, Tracking, segmentation, image alignment, video understanding, LiDAR point cloud perception.
- 🧠 LLMs & NLP: Large Language Models (Gemini, GPT, open-source), structured output generation, document parsing, semantic retrieval, RAG pipelines.
- 🧏♂️ Speech & Audio ML: Speech-to-text, captioning, classification,
- 🎥 Multimodal AI: Vision-language understanding, video captioning, scene classification, and multimodal retrieval.
- 📈 Scientific ML & PINNs: Neural PDE solvers, physics-informed architectures, operator learning.
- 📦 Edge ML & Deployment: Running AI on low-power devices, optimizing inference, Docker, TorchServe, and cloud APIs.
- 🤖 Robotics & Drones: Visual perception, autonomous scene understanding.
- 🌌 Physics & Scientific Modeling — differential equations, dynamics, simulation
- 🚁 Robotics & Drones — autonomy, control, planning, and AI perception modules
- 🧬 Computational Neuroscience — biologically-inspired learning, spiking neural nets
