01
2023–present
Future Edge Group
Founder and CEO
Building iPulse AI as an open agentic investment research platform with inspectable evidence, methodology, forecast history, and editorial review.
Abu Dhabi, United Arab Emirates
Author profile
Russlan Ramdowar
Founder and CEO, Future Edge Group
Founder of iPulse AI, lifelong investor, published author, and hands-on technology leader working where investment research, portfolio judgment, quantitative systems, and artificial intelligence meet.
- 60+
- projects and products delivered
- 10+
- years across strategy and technology
- 1
- published technology book
- Global
- finance, AI and transformation experience
Investment perspective
Markets first, technology in service of better judgment
Russlan began investing in 2007 at age 15, with Apple as his first stock, and later helped manage his family's global portfolio. That early experience shaped a durable belief: an investment decision should connect business quality, financial health, valuation, macro conditions, portfolio risk, and the evidence that could invalidate the thesis.
His finance background later moved inside institutional systems. At Societe Generale Corporate and Investment Banking, he developed quantitative trading-risk software for fixed income and interest-rate derivatives. At J.P. Morgan, he worked around strategic programs touching liquidity, balance-sheet change, sanctions, cyber, and cloud transformation.
iPulse AI grows from that combination of investor experience and systems engineering. It is designed as research and decision support—not a broker, trading bot, or substitute for personal financial advice.
Career and delivery
More than 60 projects and products across high-stakes domains
His work spans finance, healthcare, genomics, biotechnology, environmental sciences, public sector, AI, cloud, cybersecurity, and large-scale transformation. His public-markets journey began in 2007 with Apple as his first stock. The common thread is turning complex systems into governed, usable products, programs, and investment judgment.
02
2020–present
M42 Health and G42 Healthcare
Strategy, transformation, applied technology, AI and life sciences
Led and governed initiatives spanning AI and LLM systems, biotechnology, genomics, healthcare platforms, laboratories, and environmental monitoring.
03
2018–2020
Accenture
Senior Consultant, AI Strategy and Data Science — Financial Services
Advised financial-services, healthcare, insurance, public-sector, pharmaceutical, and resources clients on AI strategy, data science, product delivery, and machine-learning solutions.
04
2018
PwC
Consultant, Digital Transformation and Cloud
Worked on financial-services digital transformation, cloud adoption, and technology advisory engagements.
05
2017–2018
Societe Generale Corporate and Investment Banking
Software Developer, Quantitative Modelling for Trading
Worked on trading-floor risk software covering fixed income, interest-rate derivatives, yield curves, basis-point shifts, sensitivity analysis, simulations, PRIIPs, and MiFID II.
06
2017
SAP
Presales, Machine Learning and Cloud Products
Developed machine-learning product demonstrations, cloud sales material, and design-thinking sessions for senior executives while completing a master thesis on machine-learning industrialization.
07
2015–2016
J.P. Morgan Corporate and Investment Banking
Business Analyst, Strategic Programs Management Office
Supported strategic programs spanning cyber, sanctions, cloud migration, liquidity, and balance-sheet change, with standardized roadmaps, risk backlogs, financials, and leadership reporting.
08
2007
First public-markets investment
Started investing — first stock: Apple
Began investing as a teenager with Apple as his first stock, the start of a long-running interest in public markets, business quality, portfolio construction, and technology-led change.
Open source and public technical work
Independent upstream contribution, with the work visible
Russlan contributes independently to public software used across finance, agent interoperability, developer tooling, and web standards. His recently merged Agent2Agent work added configurable event-bus keep-alive behavior to the Linux Foundation A2A JavaScript SDK. Other selected merged work includes Point72 ccflow, Apache Fineract, FINOS Architecture as Code, MDN, and open-source quantitative-finance libraries.
Merged Aug 2026Linux Foundation Agent2Agent (A2A) JavaScript SDK MergedPoint72 ccflow MergedApache Fineract Backoffice UI MergedFINOS Architecture as Code
These are independent contributions, not claims of partnership, employment, endorsement, or institutional affiliation.
Education and professional foundations
Engineering management, artificial intelligence, and disciplined delivery
Tsinghua University
2016–2017 · Master's degree specialization program in Artificial Intelligence
A rigorous period of AI study in Beijing, learning alongside a highly capable international cohort and senior faculty in one of China's leading academic environments.
INSA Lyon
2009–2016 · Master's degree in Engineering Management
An engineering foundation combined with product, program, management, and operational decision-making.
Professional credentials
Project Management Professional (PMP), P3GP Project, Programme and Portfolio Governance Professional, Professional Scrum Master, and Google Cloud Professional Data Engineer.
Author and publisher
A public body of work across books, articles, research and technical systems
Russlan published Hymn of Modernity, a practical guide to the language of AI and emerging technology. He also publishes analytical articles and founder research through iPulse AI, Medium, and Substack, covering investment research, agentic systems, forecasting, technology, and the evidence needed to test a thesis.
Current areas of focus
The subjects readers can expect him to cover
Investment and portfolio research
Business quality, financial health, valuation, risk, catalysts, and thesis invalidation.
Agentic AI and forecasting
Multi-agent research, evaluation, calibration, provenance, and transparent forecast records.
Financial technology
Quantitative systems, fixed income, market infrastructure, and institutional workflows.
Strategy and transformation
Product delivery, AI adoption, cloud architecture, governance, and large-scale change.
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