🌟 Generative AI Engineer | AI Researcher | Digital Engineer

I am an AI enthusiast with a master's degree in Digital Engineering and a passion for leveraging Generative AI, Machine Learning, and Computer Vision to create innovative solutions. With hands-on experience across LLMs, real-time AI systems, and cloud deployment, I strive to bridge academic research with practical applications in AI.

• 🥇 1st Place in ImageArg Shared Task 2023, achieving the best F1 score for image persuasiveness classification.
• 📄 Published a research paper on Embedding-based Stance and Persuasiveness Classification at the 10th Workshop on Argument Mining (Read here).
• 💡 Developed innovative LLM-based algorithms for topic segmentation, achieving high-quality and context-aware outcomes.

• Created scalable solutions for visualizing muscle activations using OpenCV and XML annotations.
• Optimized data processing pipelines, enhancing accuracy and cost-efficiency in query handling.
• Automated personalized visual feedback systems, improving user engagement in fitness routines.

• Designed a real-time system for detecting rope deviations using stereo cameras and 3D point cloud processing.
• Implemented advanced techniques like YOLOv8, Mask R-CNN, and voxel downsampling for 2D/3D data processing.

• Enhanced claim accuracy by 15% using predictive modeling and optimized CI/CD pipelines.
• Deployed AI models on AWS, reducing deployment time by 30%.

• Multimodal Argument Mining: Built models for argumentative stance classification using BERT and CLIP for multimodal representation.
• Hybrid Search RAG: Developed a hybrid search system using LangChain and Huggingface transformers, combining semantic and keyword searches.
• Cold Email Generator: Automated personalized cold email generation using Llama 3.1, LangChain, and Streamlit.
• Topic Segmentation of Podcast Transcripts: Leveraged LLMs to create hierarchical topic labels for enhanced transcript segmentation.

• Programming: Python, Flask, Streamlit
• AI/ML Frameworks: TensorFlow, PyTorch, Huggingface
• Cloud Services: AWS, Google Cloud
• CI/CD: Docker, Kubernetes, GitHub Actions
• Data Visualization: OpenCV, Power BI
• Other Tools: LangChain, LlamaIndex, Pandas, Scikit-learn

• 🥇 Winner, Image Arg Shared Task-2023
• 📖 Publication: "Embedding-based Stance and Persuasiveness Classification" (Read here)
• 🧠 Thesis: Topic Segmentation Using Large Language Models (LLMs)

• LinkedIn
• GitHub
• 📧 Email: [email protected]