Headline

AI Technology Leader | Fintech, Trading & Creator Economy Founder | Fraud, Risk & Financial Crime

About

AI technology leader with experience building and scaling data, ML, and AI platforms that protect revenue, reduce risk, and unlock new growth across Fintech and Creator Economy. Currently heading Machine Learning Engineering at Tide, leading fraud, risk, AML and financial crime prevention across UK, Europe and India. ​ At Tide, I lead cross functional product engineering and machine learning teams to design and operate AI-driven decisioning systems that safeguard SME banking at scale. This includes traditional, generative, and agentic AI solutions for transaction monitoring, alert automation, scam detection, and risk-based controls that directly influence fraud loss rates, compliance KPIs, and customer experience. My experience spans the full lifecycle of AI initiatives: from strategy and architecture to execution, change management, and ongoing optimization. I have built high performance rules engines, real time scoring pipelines, graph-based network analysis, and domain specific models that work in regulated, high availability environments. Beyond fintech, I am a hands-on entrepreneur and product builder. As cofounder of DotMe, a rapidly growing creator economy platform with 100K+ monthly unique users, I work at the intersection of UX, growth, and data to help creators and brands monetise their audiences. With QuantMomo, an AI-driven, rules based investing platform, I have helped design and implement quantitative trading and momentum strategies that bring institutional style discipline to everyday investors. This combination of regulated financial services, systematic investing, and consumer products shapes how I think about building pragmatic, impact focused AI systems.

Location

India

AI stack

claude code

langchain

langsmith

ollama

Google ADK

OpenRouter

Work experience

Technology Advisor at DotMe, Jul 2023 - Present · 3 yrs 4 mos, Bengaluru, Karnataka, India, Mentoring the team at DotMe, a next-gen creator economy platform helping creators and brands convert social traffic into measurable outcomes through a data driven, AI-assisted link-in-bio experience. Set product and technology strategy, advising design, engineering, and growth to ship a highly scalable platform that serves 100K+ monthly users (and growing). Led the architecture of event tracking, attribution, and recommendation systems that optimise funnels (clicks, signups, sales) for creators and brands. Drove a strong experimentation culture, using quantitative insights to shape UX, pricing, and feature roadmap. Acted as an executive partner to the CEO on fundraising narratives, positioning DotMe as an intelligent, data native marketing surface for the creator and gig economy.

Technology Advisor at QuantMomo, Jul 2022 - Present · 4 yrs 4 mos, Mentoring the team at QuantMomo, an AI-driven, rules-based investing platform focused on bringing institutional grade quantitative strategies to retail investors. Co-designed the investment engine, combining momentum, risk filters, and portfolio rules into systematic, backtested strategies delivered via intuitive mobile experiences. Architected the AI and data strategy: research pipelines, signal generation, and execution rules that balance performance, drawdown control, and explainability. Partnered with founders and advisors on product market fit, regulatory posture, and GTM, positioning QuantMomo as a trusted “AI copilot” for personal finance.

Head of Machine Learning at Tide, Dec 2023 - Sep 2026 · 2 yrs 10 mos, Lead the Risk & Fraud ML and Product Engineering teams across UK, Europe, and India, owning strategy, architecture, and delivery for AI-driven financial crime, fraud, AML, and risk capabilities that protect Tide’s SME member base. Scope spans traditional ML, Generative AI, and agentic workflows embedded into core banking, data infrastructure, and operational processes. Partner with senior leaders across Product, Risk, Compliance, Operations, and Engineering to shape the roadmap, manage trade-offs, and communicate impact. Represent Tide’s AI and financial crime capabilities at external conferences and forums, and engage with regulators and banking partners as needed. Key Initiatives: - Designing GenAI and agentic workflows that automate alert review, narrative generation, and compliance report drafting, significantly reducing manual review effort and turnaround time while preserving auditability and regulatory alignment. - Building typology specific ML models, heuristics, and rules to detect scams and fraud patterns across transactions, onboarding, and behavioural signals, improving precision/recall and focusing human review on the highest risk alerts. - Co-developing risk based frameworks and data driven KPIs with Risk & Compliance to measure and control overall risk exposure across products and segments, embedding these into dashboards, decision engines, and playbooks for dynamic tuning of thresholds and controls. - Leading the development of a high performance rules and decision engine that enables real time, low latency screening and monitoring, designed for horizontal scalability, observability, and explainability so models and rules can be safely deployed and iterated in production.

Co-Founder at Dello+, Jul 2019 - Dec 2023 · 4 yrs 6 mos, Mysuru Area, India, Co-founded Dello+ (formerly OmRx), a seed funded healthtech venture offering a suite of mobile apps and CRM tools for clinics and hospitals. Set product and technology strategy, building a cloud hosted EHR platform that digitised patient journeys, appointments, and follow ups. Led the architecture for seamless exchange of health data and analytics that helped providers improve engagement and retention. ​ Worked closely with clinicians and operations teams to translate workflows into configurable, modular systems rather than one off features. Led and mentored a small but high leverage engineering team, established agile ways of working, and owned delivery across mobile, web, and backend services.

CEO at VoyaGenius Labs, Aug 2017 - Jun 2019 · 1 yr 11 mos, Mysuru, Karnataka, India, Led Voyagenius Labs, a bootstrapped AI-driven digital transformation and consulting studio. With a team of data scientists and ML engineers, delivered multiple projects in Telecom, Hospitality, Edtech, and Fintech using predictive analytics, computer vision, NLP, classical ML, and deep learning. Owned end-to-end delivery: discovery with early users, translating insights into features, and building the backend, data models, and APIs to support them. Used this vehicle to refine a pattern of quickly testing AI enabled experiences, instrumenting usage, and iterating based on data skills that now map directly to shipping Gen AI and agentic workflows in production at scale.

Education

B.E., Computer Science, The National Institute Of Engineering, Mysore