AI | Product | Dev | Data | Finance

Skills

Product, AI, Tech, Data, Finance - some relevant skills I have gathered over the years

AI Stack

Tools, techniques, and governance for building and evaluating AI-native products.

Claude CodeCursorLovableGoogle AI Studion8nReplitRAG architectureAgentic workflowsMCPsPrompt engineeringResponsible AI frameworksROI & regulatory riskGenAI use case prioritizationAI policy & governance

Product Management

Product skills gathered across professional experience, academic projects and personal initiatives

Product discoveryUser researchPRDsMarket analysisCompetitive analysisPricing strategyCost-benefit analysisVendor evaluationRoadmappingPrioritizationA/B testingAgile / SDLCStakeholder managementChange managementExecutive presentationWorkshop facilitationJIRAConfluenceAsanaNotionMiroFigmaVisio

Technical Stack

The engineering layer for writing code and shipping products.

PythonJavaJavaScript (Vue.js)MongoDBKafkaDistributed systemsREST APIsMicrosoft AzureDockerGit

Data Stack

Platforms, BI tools, and data governance practices from enterprise engagements at PwC

SQL (Oracle, MySQL)RSnowflakeCollibraPowerBITableauMixpanelAmplitudeData governanceData qualityMaster data managementMetadata managementData pipelinesData Privacy

Finance Stack

Financial data platforms, source systems, and regulatory domains from three years at PwC Tech Advisory.

S&P Capital IQBloomberg TerminalChronographSAPOracle (upstream context)Private equity portfolio monitoringBanking data strategyRegulatory reporting (BCBS, SEC Form PF, ESG, Anti-trust)