Most trading-alert services are anonymous handles behind a paywall. We think transparency should start with the team — so here we are: names, faces, and the credentials behind every signal.
Every person building and running HedgeWithAI is listed on this page, with a real professional history you can verify on LinkedIn. If you're going to act on our research, you deserve to know who's behind it.
Our methodology isn't a black box. Every alert carries the AI's reasoning, and the research approach is documented in the open — so you can understand how it works before you ever pay.
We are a research and signals service — not a broker or adviser. We will never tell you what you'll earn, because no one honestly can. What we can show you is who we are and how we work.
Straight from the team — how the trading algos are stress-tested before a single alert reaches you.
Videos are educational and describe how the product works. They are not investment advice and make no promise of any outcome.
Wall Street technology platforms, enterprise AI, finance operations, and consumer growth — this is the experience behind the product.
Raghu brings 23+ years in core technologies and IT R&D at Morgan Stanley Smith Barney, Lincoln Financial Group, and WorldWideExpress. At Morgan Stanley he headed IT Quality Assurance, driving the technology testing solutions that differentiated the Thomson Reuters Trading & Analytics platform. He studied at the University of Illinois at Urbana-Champaign, where he worked with industry experts and professors at the National Center for Supercomputing Applications.
Raja has 22+ years of progressive experience in information technology with a demonstrated track record in software product delivery — spanning the architecture, design, development, integration, and delivery of sophisticated banking, insurance, tax, and financial products across retail and digital channels. He holds a master's in computer applications (MCA) and is CSM, AWS, TOGAF, and Java certified.
Tracy is a financial and executive professional with strong strategic, leadership, and execution skills focused on profitable growth. With 15+ years overseeing compliance, finance strategy, operations, and performance across diverse industries, she has served in controller and finance leadership capacities at Phoenix Family, 24/7 Express Logistics, Harlan Global Manufacturing, and OPW Fluid Transfer Group — a Dover company.
Vinod has over 22 years of experience across FMCG, telecom, consumer durables, healthcare, healthcare IT, and real estate. He holds India's NISM (SEBI) investment-adviser certification, runs a digital and real-estate practice in India, and has supported Government of India and Telangana initiatives in the water, sanitation, and hygiene sectors. He has managed profit centers ranging from USD $7M–$46M for international investors including PBC and Electra, and a $16M sales pipeline for the Aquarius Fund Singapore–led Napier Healthcare.
HedgeWithAI is a joint venture backed by Walden Services, LLC and Nubes Opus, LLC — combining deep financial domain expertise with cutting-edge AI engineering.
Team credentials are provided for background only. HedgeWithAI is a research and signals service — not a broker-dealer or investment adviser — and no member of the team provides individualized investment advice through the platform.
The engineers, ML builders, and operators behind the platform — every alert you see passes through their hands first.
5+ years building cloud-native and AI-powered applications in Python, Java, Spring Boot, and React, with RAG and LLM integrations. Previously built enterprise banking systems at FIS Global.
Builds the platform's machine-learning and signal-generation pipelines on AWS serverless — training and evaluating models including Random Forest, neural networks, and K-Means clustering.
Works on LLM-powered forecasting and sentiment pipelines using Amazon Bedrock and SageMaker, and the real-time dashboards that stream live market data to subscribers.
4 years across finance and enterprise systems; builds deep-learning models (LSTM, K-Means) and the AWS microservices that process market data into research and alerts.
4+ years in enterprise AI development — agentic AI systems, intelligent document processing, and MLOps practices that take models from training to reliable production inference.
5+ years in CI/CD, Kubernetes, and infrastructure-as-code. Keeps the platform fast, secure, and available — the reason alerts arrive when the market moves, not after.
Leads cross-functional delivery across engineering, product, and operations — planning, scheduling, and keeping the roadmap honest. Combines engineering depth with business training.
20+ years in front-office and executive operations. Coordinates HedgeWithAI's product operations, support workflows, and documentation — the person keeping everything running on time.
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