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Kenya
1 year of experience
I'm a dedicated Frontend Developer with a strong focus on building production-ready web applications that bridge the gap between complex engineering and elegant design. My core stack centers around React, Next.js, and TypeScript, and I pride myself on sweating the details—from fluid micro-interactions to robust loading states. Lately, I have been deeply focused on the intersection of frontend development and artificial intelligence, designing multi-agentic systems and integrating advanced AI APIs to create smarter user interfaces. My recent work includes building DesignOS, an AI-powered visual design platform, and CareConnect, a comprehensive healthcare SaaS platform. I am always looking for exciting remote engineering opportunities and freelance collaborations where I can build impactful digital products.

Enterprise investment due diligence is slow, opaque, and inconsistent. Analysts spend hours collecting information across disconnected tools with no systematic review process and no audit trail. Aegis Agent solves this with a genuine multi-agent workflow. Four specialized AI agents — Forensic Planner, Data Analyst, Risk Auditor, and Executive Finalizer — collaborate through Band chat rooms to analyze investment opportunities. Every agent handoff happens via Band. Every decision is logged. When a user submits a company and deal context, Aegis creates a dedicated Band room and the agents execute a structured workflow: 1. Planner (AI/ML API): Decomposes the task, selects optimal inference models 2. Analyst (Featherless AI): Synthesizes findings, cites sources with URLs 3. Reviewer (Featherless AI): Validates analysis, scores risk 0–100, loops back if gaps found 4. Finalizer (AI/ML API): Produces polished dossier with verdict, alternatives, and reasoning chain Users can pause the room and intervene at any point — the agents adapt and continue with user direction baked into their context. The frontend renders this entire operation as a live war room dashboard. Acts are cinematic. Handoffs are visible. Partner tool usage is unmissable. The result: auditable, explainable, enterprise-grade AI investment analysis.
19 Jun 2026