About me

I Help Teams Turn AI into a Competitive Edge
I work with startups, scale-ups, and enterprises to translate AI potential into real business outcomes - faster decisions, smarter products, and automated workflows that scale.

🔹 AI Strategy & Roadmaps – Identify high-impact use cases and build a clear adoption roadmap.
🔹 AI Product Consulting – Design & Build intuitive, cost-effective AI-powered features, MVPs, & end-to-end solutions.
🔹 Data Solutions – Build pipelines for diagnostics, prediction, and real-time analytics.

Need AI expertise? Let's talk!
📞 Schedule a meeting | ✉️ Email me

Side Projects and Case Studies

Resume

Work Experience

  1. AI Product Manager @ Majorly

    February 2025 — Present

    • Launched "Ana", a GenAI career-advisor agent for personalized career-readiness guidance and handling advising Q&A; saved advisors 10 hrs/week and lifted weekly adoption from 24% to 52% across paying orgs.
    • Led a cross-functional team to launch a real-time speech-to-speech interview simulator, addressing market gaps in chained STT to TTS, resulting in +20% WAU in 6 weeks, helping convert 3 pilots to paid since its launch.
    • Launched a self-serve GenAI analytics feature that turns plain-English career advisors' questions into on-demand data insights; cut report turnaround from 1-2 days to minutes.

  2. AI Product Manager @ AD GenAI Consulting

    September 2024 — February 2025

    Founded & scaled to 3 cross-industry clients (VC/FinTech/EdTech).
    @ SowFin (CFO Copilot):
    • Ideated and launched an on-premises AI data visualization assistant via fine-tuned SLM to satisfy clients' privacy and cost constraints; secured 6 paid pilots (40% of interviewed).
    @ SprintFit (VC analysis tool):
    • Automated pitch-deck review to extract key business signals and generate standardized scorecards for founders (RAG + agentic pipeline), cutting VC screening time by 70% and securing 3 VC partners.

  3. Product Manager @ Mastercard

    September 2021 — September 2023

    • Scaled Issuer onboarding on Mastercard's new configuration setup platform by 5x (10 to 50+ orgs per week), by instrumenting product analytics to surface drop-offs and removing bottlenecks in the customer journey.
    • Aligned 15+ global stakeholders on a unified roadmap for low-friction partner onboarding and profile configuration, then led a 9-person cross-functional team to deliver iterative releases using Agile practices, achieving a 85% CSAT.

  4. Data Scientist @ Golden Gate University

    December 2023 — September 2024

    • Performed Exploratory Data Analysis (EDA), developed and deployed dynamic reports and interactive dashboards using Pandas, SQL, and Tableau, enabling data-driven decision making in real-time for senior leadership.
    • Built predictive models in Python (scikit-learn) using student academic records and enrollment history to forecast enrollment and retention, improving accuracy by 8%.

  5. Business Analyst @ HSBC

    November 2019 — September 2021

    • Implemented the digital transformation of the Payment engines of 2 countries (UK & KSA) by eliciting business & technical requirements from the Users, Subject Matter Experts & other stakeholders and prioritizing them effectively.
    • Spearheaded implementation of a Digital Signature feature for Saudi Arabian ACHCR-WPS Salary payments to meet new regulations, ensuring integration into HSBC's payments engine through collaboration with regulatory specialists.

  6. Software Engineer @ Lloyds Banking Group

    November 2017 — November 2019

    • Developed Java & SQL solutions to optimize high-volume SWIFT payment processing, reducing traffic by 30%.

Education

  1. M.S. in Business Analytics @ Golden Gate University

    September 2023 - September 2024

    Relevant Coursework: Enterprise Performance Management and Metrics, Big Data Ecosystems, Business Intelligence, Managing Data Structures, Advanced Statistical Analysis with Python & R, ML for Predictive Analytics, Visualization & Communication.

  2. B.E. in Computer Science @ Anna University

    August 2013 - August 2017

Skills & Credentials

Technical Skills: GenAI (RAG, Agent Orchestration, Vector Search), MLOps, Prompt Engineering, Python (LangGraph, CrewAI, DSPy), SQL, Product Analytics, Model Evaluations (Galileo, Arize), Fine Tuning, A/B Testing, Cloud (AWS, Azure), MCP, Responsible AI

Product Management: User Research, Market Research, Roadmap & Prioritization, Leadership, Stakeholder Management, Go-to-Market Strategy

Certifications: Certified AI/ML Product Management (AI Product Strategy, LLMOps, Pricing GenAI models) - PMExercises

Portfolio

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