Islam R.

Senior Data & AI Solution Engineer | Quant Analyst, Finance, Economics

💪 𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 | 𝗤𝘂𝗮𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗙𝗶𝗻𝗮𝗻𝗰𝗲, 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀 𝗣𝗵𝗗 I design and build data infrastructure, AI-powered systems, and quantitative models that turn complex data into measurable business and financial outcomes. 𝙈𝒚 𝒘𝙤𝒓𝙠 𝙨𝒊𝙩𝒔 𝒂𝙩 𝙩𝒉𝙚 𝙞𝒏𝙩𝒆𝙧𝒔𝙚𝒄𝙩𝒊𝙤𝒏 𝒐𝙛: Quantitative Analysis & Energy Markets — 15+ years of advanced modeling, forecasting, and risk management Machine Learning & AI Systems — End-to-end ML pipelines, LLM integration, and AI agent development Data Engineering & Analytics Infrastructure — Scalable pipelines from ingestion to decision layer Automation & Intelligent Workflows — Process automation that eliminates manual bottlenecks 𝑹𝙚𝒄𝙚𝒏𝙩 𝙛𝒐𝙘𝒖𝙨 𝙖𝒓𝙚𝒂𝙨 𝙞𝒏𝙘𝒍𝙪𝒅𝙚: - Building and deploying AI agents and LLM-powered document processing systems (Vertex AI, Gemini, LangChain, CrewAI) - Designing end-to-end data platforms on Snowflake, Databricks, BigQuery, and Redshift - Developing automated trading strategies and quantitative execution systems - Creating real-time dashboards and reporting with Power BI, Tableau, and Streamlit - Implementing workflow automation using Power Automate, Airflow, and custom API integrations - Integrating ML models into production — from feature engineering to serving and monitoring 𝑪𝙤𝒓𝙚 𝙩𝒆𝙘𝒉𝙣𝒊𝙘𝒂𝙡 𝙨𝒕𝙖𝒄𝙠: - Cloud & Infrastructure: GCP (Vertex AI, BigQuery, Cloud Functions), AWS (S3, Lambda, Redshift), Azure - Data Engineering: Snowflake, Databricks, Apache Spark, dbt, Airflow, Kafka - ML / AI: Python, TensorFlow, PyTorch, scikit-learn, LangChain, Hugging Face, OpenAI/Gemini APIs - Automation: Power Automate, Zapier, n8n, custom REST/GraphQL integrations - Visualization: Power BI, Tableau, Streamlit, Plotly - Languages: Python, SQL, R, JavaScript Published researcher with multiple peer-reviewed articles in energy economics and risk modeling. Leadership experience spanning industry and academia, including curriculum development and team management. I work best with founders, operators, and technical teams who need systems built — not decks delivered.