Russlan Ramdowar@russlan23
2
Events attended
2
Submissions made
United Arab Emirates
10+ years of experience
About me
I’m Russlan Ramdowar, Founder and CEO of Future Edge Group and the creator of iPulse AI, an Open Agentic Investment Research Platform designed to make investment research more transparent, evidence-driven, and open to scrutiny. I bring roughly nine years of international experience across artificial intelligence, banking, strategy, digital transformation, cloud architecture, product development, and programme management. My financial-services experience includes strategic programme management at J.P. Morgan, quantitative trading-risk software development at Société Générale Corporate and Investment Banking, and AI strategy and data-science consulting at Accenture. I have also worked in cloud and digital transformation at PwC and with machine-learning and cloud products at SAP. Beyond banking, my experience spans healthcare, genomics, biotechnology, the public sector, and environmental sciences. I have contributed to AI and LLM initiatives, data platforms, governance frameworks, digital products, and complex transformation programmes. I combine strategic leadership with hands-on experience in software development, AI, data engineering, and cloud technologies. At Future Edge Group, I am building iPulse AI around a multi-agent architecture in which independent AI advisers examine markets from different perspectives, surface disagreements, assess risks, and contribute to a reviewable consensus. I am also the author of Hymn of Modernity, a book exploring AI, augmented reality, big data, quantum computing, Neuralink, and other technologies shaping the modern world. I publish analytical writing on AI, markets, investment research, technology, and science.
🤓 Latest Submissions
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iPulse AI Options Alpha Agent
iPulse AI Options Alpha Agent makes options research and Alpaca paper trading inspectable. It solves AI-trading governance: can a team reconstruct why capital moved? Six independent advisors analyze technical regime, news, options liquidity, financial quality, value, and risk. Each records evidence, contrary evidence, confidence, and invalidation. AI proposes CALL, PUT, WAIT, or ABSTAIN; deterministic policy alone authorizes execution. Using Alpaca's official MCP server, the agent reads a dedicated paper account, SPY/QQQ/IWM bars, quotes, and option chains. A near-0.50-delta contract is considered only after the frozen rule qualifies. Paper-only, session, freshness, duplicate, cooldown, position, drawdown, and sizing gates fail closed. Orders are one-contract, long-premium limits with at most USD 500 defined loss; the broker is re-read and a sanitized receipt retained. Three exploratory v0 paper fills—AAPL, XLF, and AMZN calls—prove the bounded broker path. Combined maximum premium risk was USD 825; the captured mark showed USD 99,986.91 equity and -USD 13.09 P&L. We publish the loss and do not claim v1 performance. We also publish a failed momentum v0 strategy. Exhaustion-reversal v1 was selected on 2021-2023 development data, frozen, then tested on untouched 2024-2026 data: 127 signals, 55.9% directional wins, +0.218% average signed two-session underlying move, 1.39 profit factor, and a 0.88 event-frequency Sharpe proxy. Its 95% Wilson interval is 47.2%-64.2%. These are underlying diagnostics, not option returns. The commercial wedge is evidence-governed research for U.S. advisers. The SEC reports 22,932 investment advisers and USD 177T regulatory AUM in 2025. Team SaaS, enterprise private deployment, and an evidence API provide revenue paths. Judges can inspect the deployed dashboard, MIT repository, 59 tests, full ledger, 4:54 demo, ten-slide deck, and latest frozen WAIT. No raw account ID or credentials appear publicly. Paper only; not investment advice.
4 Sep 2026
Open Forecast Receipt
AI forecasts have a memory problem: once a prediction is published, people often cannot prove exactly what was predicted, when it was created, which information was available, or whether the record changed later. Open Forecast Receipt provides a portable, human-readable standard for preserving that history. Each receipt separates the sealed forecast payload from a proof envelope, uses canonical JSON and SHA-256 verification, and can optionally carry an independent Base blockchain attestation. The working Explorer demonstrates sanitized iPulse AI forecasts for five public market assets, including individual forecasters, step-by-step predicted returns, information boundaries, receipt integrity, and a tamper test that fails when one value changes. It clearly states that blockchain proof establishes timestamped integrity, not forecast truth or accuracy. Built with builder.nativelyai.com, React, TypeScript, Vite, AJV, viem, and Ethereum Attestation Service interfaces, the project includes an open-source schema, verifier, Explorer, tests, and operator tooling. It is also the foundation for a future cross-domain Open Forecast Library where human and machine forecasters can publish portable predictions, build maturity-aware track records, and optionally anchor selected receipts onchain.
10 Aug 2026
