B.Tech — Artificial Intelligence & Data Science
Deterministic AI Systems · Computer Vision · Full-Stack Engineering
I build deterministic AI systems that execute tasks reliably — not just generate responses.
My focus:
- Turning LLM reasoning into controlled execution pipelines
- Designing systems that plan -> validate -> act -> recover
- Bridging AI models with real-world actions
A determinism-first system that keeps reasoning separate from execution so the behavior stays predictable.
I wanted something that can take real actions without the usual “agent chaos” problem. So MERLIN does plan first, validate, then execute—and if something breaks, it classifies the failure and recovers intentionally instead of retrying blindly.
🔗 https://github.com/AlexxBenny/Merlin
- 🧠 LLM → Compiler Model: converts natural language into validated Mission DAGs (no direct action dumping)
- ⚙️ Deterministic Execution Engine: no hallucinated actions; everything runs through strict skill contracts
- 🔁 Outcome-Aware Recovery: failure classification + structured retries (soft vs hard)
- ⏱️ Persistent Scheduler: tick-based runtime that executes precompiled plans
- 🧠 Semantic User Memory: facts, preferences, and policies via
UserKnowledgeStore - 💻 Deep OS Integration: file system, apps, browser, and system controls
- 🌐 Decoupled UI System: React dashboard + PySide6 widget via an API bridge
Multi-role platform with analytics, automation, and AI insights
Role-based dashboards · AI-powered academic tracking · Real-time data visualization
🔗 https://github.com/AlexxBenny/Smart_Acad
Built for Carestack x Carerevenue hackathon
Patient management system · AI-assisted workflows · Healthcare automation features
🔗 https://github.com/AlexxBenny/carehive
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- 🥇 1st Prize — Smart-Acad
- 🥇 1st Prize — Fluento (AI language learning system)
- 🥉 3rd Place — National Gen AI Hackathon (amFOSS)
- Edge AI deployment (TensorRT / ONNX Runtime)
- Autonomous system design (agent -> controller shift)
- Real-world AI execution reliability
Building systems that don't just think — but execute.