I'm an AI guy(wait !! don't cringe ,i actually am), generative AI, NLP, and transformer-based models are my thing(yeah i can explain you the attention paper). My work revolves around exploring the latest techniques in machine learning and deep learning to push the boundaries of what's possible in technology(this was hyperbole , wasn't it?).
- Research on Vulnerabilities of LLM Integrated Systems: Research on RAG Systems.
- Natural Language Processing (NLP): Designing systems for language understanding, sentiment analysis, and conversational agents.
- Transformer Models: Experimenting with and fine-tuning state-of-the-art transformer architectures for various AI applications.
- Research & Development: Continuously exploring emerging trends and applying novel ideas to solve real-world problems.
- An offline chain-analysis engine that applies probabilistic heuristics to raw Bitcoin block data to infer patterns, identify entities, and classify transaction behavior.*
- A safe PSBT (Partially Signed Bitcoin Transaction) builder that handles coin selection (UTXOs), constructs unsigned Bitcoin transactions, exports PSBTs (BIP-174), emits machine-checkable JSON reports, and serves a web UI to visualize and justify the transaction building process.*
- Awesome-Lenz is a tool I built to turn raw Bitcoin transactions into precise, machine-checkable JSON reports, paired with a web visualizer that explains those transactions to non-technical users using diagrams, annotations, and accessible language.*
- LLM Security & Guardrails
- Retrieval-Augmented Generation (RAG)
- Multimodal AI (Vision + Language)
- Vector Databases & Embeddings
- AI + Blockchain (Integrity & Provenance)
I'm always eager to collaborate, learn, and share insights. Whether you're interested in discussing new ideas or potential collaborations, feel free to reach out.