Emm anso n Ken neth

Worked on an AI-powered pharmaceutical commercial intelligence platform to analyze healthcare professional engagement, prescribing/patterns, and commercial data to generate predictive insights and improve pharmaceutical sales and marketing decisions. Built core platform features using React, TypeScript, Python, FastAPI, and PostgreSQL, including interactive intelligence dashboards, healthcare professional profile pages, predictive recommendations, and data exploration workflows. Owned end-to-end features from requirements gathering and technical design through implementation, testing, deployment, and production support, collaborating with product, data science, and engineering teams. Built LLM-powered insights using OpenAI APIs and Anthropic Claude models to summarize commercial intelligence, interpret business questions, and generate grounded contextual responses based on pharmaceutical data and predictive analytics. Developed AI-assisted CRM workflows, conversational/voice-assisted a

Contributed to a digital banking platform enabling customers and small businesses to manage financial services online, including account management, payments, transaction tracking, and self-service banking operations. Developed full-stack banking features using React, Next.js, JavaScript, and TypeScript for responsive dashboards, account interfaces, transaction views, payment workflows, and customer-facing digital banking experiences. Built backend services using Node.js, .NET, and Python, implementing business logic, financial processing workflows, and REST APIs for digital banking operations, payments, account management, and customer onboarding. Designed and optimized PostgreSQL schemas and queries for customer accounts, transaction records, payment history, financial reporting, and application performance. Implemented REST APIs and GraphQL APIs to connect front-end applications with internal banking systems and external financial services. Built automated bookkeeping and expense ma

Contributed to the development of an enterprise endpoint security platform leveraging AI-powered threat prevention and detection to protect devices, identify malware and suspicious activity, and respond to cybersecurity threats. Developed security dashboards and investigation interfaces using React, Next.js, JavaScript, and TypeScript to help security teams monitor endpoints, review alerts, investigate threats, and manage security policies. Built backend services using Python, Java, and Node.js to process endpoint telemetry, analyze security events, manage threat intelligence, and support automated detection and response workflows. Implemented threat investigation and incident response capabilities including security event search, endpoint activity analysis, threat tracking, and remediation workflows to accelerate incident resolution. Developed REST APIs and GraphQL APIs and service integrations connecting front-end applications with endpoint protection components, internal security se