Highly accomplished AI & ML Engineer with 7+ years of experience, specializing in developing robust backend systems, advanced data analytics, and intelligent automation solutions. Expert in building RAG agents, fraud detection models, and scalable APIs that deliver measurable business impact. Proven ability to enhance performance, bolster security, and drive data-driven decision-making within dynamic financial and SaaS environments.
Manchester, England, United Kingdom of Great Britain and Northern Ireland
→
Summary
As a Software Engineer at Kudy Financials, Kennedy Ikeka developed and deployed innovative AI solutions and scalable FinTech platforms, significantly improving customer engagement, operational efficiency, and financial security.
Highlights
Developed and deployed a RAG chatbot, reducing customer support response times by 60% and significantly enhancing customer interaction quality.
Collaborated with cross-functional teams to build and launch Kudy Kash, a digital loan platform that accelerated credit access and scaled financial operations.
Developed Kudy Points, a rewards and loyalty system that increased user retention by 25% and boosted customer engagement.
Enhanced platform security by implementing Role-Based Access Control (RBAC), ensuring secure authorization and mitigating system misuse.
Engineered core backend components for a multi-fund, multi-portfolio management system, streamlining administration of diverse financial products.
Built scalable FinTech backend services, supporting complex fund workflows, high-volume transactions, and secure data processing across multiple asset categories.
Designed and implemented a Due Diligence and risk-assessment system, automating client verification, strengthening KYC processes, and improving risk management accuracy.
Software engineer
Lagos, Lagos, Nigeria
→
Summary
At IPI Solutions, Kennedy Ikeka engineered and led the development of SaaS products and custom web applications, driving digital transformation and enhancing data management for enterprise and government clients.
Highlights
Led the development of Crater365 Page Builder SaaS, adopted by over 20 enterprise clients, accelerating digital transformation and reducing manual site configuration workloads.
Developed Tabulator, an internal data management tool, enhancing data visibility and operational efficiency for engineering and support teams.
Integrated custom backend services and APIs with Microsoft On-Premise systems, ensuring secure data exchange, seamless authentication, and enterprise IT compatibility.
Developed secure, scalable custom web applications for government organizations, meeting public-sector workflows and compliance requirements.
Awarded By
Altschool Africa
Awarded By
Godfrey Okoye University
Issued By
Udemy
Pandas, Langchain, Scikit-learn, Generative AI, Langgraph, Machine Learning, PyTorch, TensorFlow, Deep Learning, Agentic Automation, Computer Vision, Data Simulation, Data Modeling, Data Analysis, ETL Pipelining.
Angular, CI/CD, Redux, Golang, FastAPI, Python Programming, Testing, SQL, Tailwind, Node.js, TypeScript, React, Python, gRPC, NestJS, MongoDB, Postgres, ExpressJS, n8n, Docker, Git, Microservices Architecture, Cloud Deployment, Distributed Messaging Infrastructure, AWS Lambda, EC2, S3, ECS.
Teams, Slack, Ability to learn exceptional fast, Good Communication, Emotional Intelligence, Jira, Stakeholder Communication, Confluence, Team Collaboration, Working without supervision, Planning and Scheduling, Staying calm under pressure, Product Owning, Algorithmic Thinking, Problem Solving, Risk Assessment & Compliance Awareness (KYC/AML), Data-driven Decision Making.
Weight Lifting, Mobility Workouts, Yoga.
Summary
Designed an end-to-end fraud detection pipeline and deployed a real-time anomaly detection model during a hackathon, delivering instant transaction risk scoring and operational insights. Exposed an API for this project and created a Supervisor-based agent system for simulation, analysis, auditing, and financial advisory.
Summary
Developed an AI accounting assistant for small businesses with OCR receipt processing, automated categorization (90%+ accuracy), and intelligent financial reporting. Deployed REST API with async job processing and Telegram bot. Built LangGraph multi-agent system: Receipt Parser, Transaction Categorizer, Analytics Agent, and Report Generator with auto-visualization selection, delivering actionable insights in 60 seconds.