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RM Investment Bank Ltd
Data Scientist
June 21, 2026 – Present
tradeclaw-agent
March 25, 2026 – Present
🦞 Self-hosted AI trading signal agent. Runs on your machine. Delivers signals to Telegram, Discord, or any webhook. Free forever.
View Projecttradeclaw
March 21, 2026 – Present
🤖 Self-hosted AI trading signals - 5 swappable strategy presets (Classic, HMM, regime-aware, VWAP+EMA+BB, Full-Risk Pipline), multi-preset backtest comparison, paper trading, Telegram bot. BTC, ETH, Gold, Forex. Free forever.
View ProjectOpenMemory
March 1, 2026 – Present
TypeScript-powered AI memory that actually works. No more split personalities, no more lost context. Just pure memory continuity.
View ProjectRAG-using-Llama-3.1-WebUi-on-Streamlit
August 6, 2024 – August 6, 2024
Run Llama on serverless with multimodal RAG, with focus on reading files (But with limited token ofc)
View ProjectMulti-Modal-RAG-Pipeline-on-Images-and-Text-Locally
August 5, 2024 – August 5, 2024
My first Multi-Modal RAG pipeline....Dummy version
View ProjectLlama-3.1-8B-Free-Version
July 31, 2024 – July 31, 2024
Set up Ollama locally with a QA component using lightrag library on Windows.
View ProjectStock-Analysis-As-Agents-NVDA
July 18, 2024 – July 18, 2024
This project uses the CrewAI framework to automate stock analysis, enabling AI agents to collaborate and execute complex tasks efficiently. Example stock: Nvidia. Technologies include Python, CrewAI, Unstructured, PyOWM, Tools, Wikipedia, yFinance, SEC-API, tiktoken, faiss-cpu, python-dotenv, langchain-community, langchain-core, and OpenAI.
View ProjectFullstackBootcamp
July 15, 2024 – April 1, 2025
During the boot camp, I explored web development (HTML, CSS, JavaScript, Vue, React, PHP, Laravel, Flask, Django, WordPress), backend (MySQL, MongoDB, Firebase, Redis, Node.js), DevOps (Linux, Git, Docker, Apache Kafka), cloud computing, machine learning (Python, TensorFlow, Scikit-learn), RESTful APIs, and agile methodologies.
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in cutting-edge AI/ML technologies, particularly in areas like RAG, LLMs, and AI agents. This aligns well with an innovative and research-driven culture. The diversity of projects, from trading systems to memory agents, indicates a broad curiosity. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and cultural integration fully. The target role is Data Scientist, and the projects are highly relevant, indicating a good fit for the technical aspects of the role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a self-starter attitude and a drive for continuous learning. The focus on personal projects suggests strong intrinsic motivation. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.