• I enjoy learning through research and dive deep into it to find something new.
• 💼 I design and implement scalable AI solutions at Viral Nation
• 🎓 Graduated my master's with an AI specialization Thesis on "Enhancing machine vision using human cognition from EEG analysis"
• 📑 Author of EEG-based Image Feature Extraction for Visual Classification using Deep Learning, Searching Efficient Models for HAR, On Optimizing Human-Machine Task Assignments

• Led development of 4 major ML projects for VN Secure, enhancing brand safety in social media content
• Engineered a multimodal AI pipeline, improving classification accuracy by 21%
• Implemented MLOps practices, reducing model deployment time from 90 minutes to under 60 seconds
• Developed and deployed ML models as AI microservices using Kafka and Kubernetes, enabling processing of over 7.6 million content items in 6 months (equivalent to over 23 years of manual analysis)

• Machine Learning & AI: Deep Learning, NLP, Computer Vision, Multimodal Learning, Recommendation Systems, Pattern Recognition
• Advanced AI Techniques: Large Language Models, Multimodal RAG, Vector Embeddings
• Programming: Python, C++, CUDA C, SQL, Java
• Frameworks: TensorFlow, PyTorch, scikit-learn, YOLO, SAM, BERT, CLIP, ViT, LLaMA, LLaVA
• MLOps & Cloud: AWS SageMaker, Azure ML, Docker, Kubernetes, Kafka

• 🔨 I'm currently working on:
  • Designing and optimizing scalable vision models
  • Advanced multimodal RAG systems for improved context understanding
  • Multimodal vector embedding techniques for enhanced LLM performance
• 👯 I'm looking to collaborate on Vision transformer / Brain machine Interface / Advanced AI related research.
• 🎯 In the near future, I plan to...
  • Work on a project for AR vision reconstructive object detection
  • Start blogging my small POCs that I have completed this year

• Publish in top-tier AI conferences (NeurIPS, ICML, CVPR)
• Develop a custom-made autonomous drone with advanced AI capabilities
• Contribute to cutting-edge AR/VR technologies integrated with state-of-the-art AI
• Pioneer new techniques in multimodal AI for more coherent and contextually aware systems

• Multimodal Learning and Retrieval-Augmented Generation (RAG)
• Advanced Language Models and Multimodal AI
• MLOps and Scalable AI Solutions
• Computer Vision
• Machine Learning
• Pattern Recognition
• Brain Computer Interface

Feel free to explore my projects and reach out for collaborations in cutting-edge AI research and development!