Mohammed Affan Shaikh
I'm Mohammed Affan Shaikh — an AI builder, product thinker, and research enthusiast crafting voice-first, context-aware, and agentic products that solve real-world problems at scale.
I'm an early-stage founder obsessed with the space where AI stops being a novelty and becomes infrastructure — voice-first interfaces, context-aware assistants, and agents that actually get work done.
Great AI products aren't demos. They're systems — designed with taste, engineered with care, and grounded in real user problems. I build for the moment someone stops noticing the AI and just gets what they came for.
Problems that unlock a category — education verification, rural AI access, voice-native productivity, sustainable energy — where a well-placed model changes the shape of what's possible.
A voice-first home controller that listens for natural commands and orchestrates real hardware — bridging speech recognition, intent parsing, and physical actuation into one seamless loop.
Verifiable proof-of-skill for a world where credentials are broken. A system for capturing, evaluating, and cryptographically attesting real capability — so hiring can move past the resume.
Independent research on integrating small-scale wind into hybrid renewable systems — modeling siting, output curves, and the pragmatic economics of deploying clean energy in emerging markets.
A running lab of agentic workflows — planning, tool-use, memory, and multi-agent choreography — testing where autonomy amplifies humans and where it still fails gracefully.
Assistants that remember, adapt, and reason about the user's real situation — not just the last prompt.
Voice-first UX where the fastest path to intent is speech, not screens.
Designing trust: when to defer, when to act, when to disappear.
Where AI, hardware, and hybrid renewables meet — modeling deployment in rural India.
Ambient software that orchestrates apps, data, and agents so users think in intent, not interfaces.
Personal AI that carries state — what you're doing, who you know, what matters — across every surface.
Interfaces where speech is the primary I/O, not a bolted-on feature.
Multi-agent systems that plan, use tools, and hand off — reliably and observably.
Tutors, verifiers, and learning agents that meet each student where they actually are.
Applying models to renewables, smart infrastructure, and resource optimization in emerging markets.
AI research & applied experimentation
Rapid prototyping from idea to demo
Product thinking rooted in real problems
Voice AI & automation systems
Technical strategy & roadmap
Founder-grade curiosity & ownership
Let's talk
I collaborate with founders, researchers, and teams building AI that matters. Say hello — I read everything.