I design and ship complete technology systems — LoRaWAN sensor networks, real-time computer vision pipelines, RAG-powered AI platforms, and full-stack web applications. End-to-end ownership, from architecture to deployment.
Most engineers own one layer. I architect and deliver the full stack — sensors, cloud infrastructure, AI intelligence, and the interface your team actually uses.
End-to-end LoRaWAN and IoT platforms — device integration, payload decoding, real-time telemetry pipelines, alerting systems, and mobile dashboards. Deployed across agriculture, energy, food safety, and industrial monitoring.
Real-time visual intelligence for industrial environments — defect detection, machine monitoring, and object localisation. Built for factory-floor conditions: high throughput, low latency, continuous operation around the clock.
Production AI layers that connect LLMs to your operational data — ERP systems, sensor databases, internal documents, and knowledge bases. Not demo chatbots — real intelligence deployed on AWS or on-premise infrastructure.
Scalable dashboards, platforms, and mobile apps built on top of complex data systems. From IoT monitoring portals to AI-powered business tools — I build the interface layer that makes your data actionable for real users.
Real-world deployments across industries. Each one built and owned end-to-end.
A SaaS platform that transforms static technical PDF manuals into interactive AI chat interfaces. Users query their documentation in natural language, get answers with precise source references, and view the original PDF page side-by-side — making complex technical knowledge instantly accessible for field teams and operators without digging through hundreds of pages.
AI-powered platform connecting LLMs directly to ERP systems and operational databases. Factory teams query years of production data in plain language and receive actionable insights in seconds — transforming how industrial managers interact with their own operational data.
Computer vision pipeline for automated quality control on a manufacturing line — detecting defective products at real-time speeds of multiple frames per second. Significantly reduced manual inspection overhead and improved defect catch rates across the production line.
Vision-based monitoring and recording system for laser cutting machine heads — tracking locating head position, logging operational events, and providing a continuous visual audit trail for precision manufacturing quality control and compliance.
LoRaWAN-connected electricity, gas, and water metering system with automated billing engine, consumption analytics, and multi-tenant management — deployed at kibbutz scale, handling all three utility types simultaneously on a single unified platform.
LoRaWAN sensor network for food safety compliance — monitoring temperature and humidity across restaurant cold storage with real-time alerting, threshold management, and compliance reporting dashboards for health audits and regulatory requirements.
Sensor-driven monitoring for poultry operations — environmental controls, feeding cycle management, and health event alerts — with a React Native mobile app for farm managers overseeing multiple sites remotely.
Full dairy operations platform covering herd monitoring, milk yield tracking, health event logging, and operational dashboards. Mobile-first React Native design for field workers managing livestock across large, distributed farm sites.
I'm Jeel Gondaliya — an IoT, AI, and computer vision engineer based in Ahmedabad, India. I founded Jeel Software Consultancy to work directly with founders and technical teams who need someone who can own an entire system end-to-end.
Most engineers specialise in one layer. I work across IoT hardware integration, computer vision, AI and RAG systems, and full-stack web and mobile — which means I can take a problem from whiteboard to production without handoff gaps or communication overhead.
I've shipped 15+ production systems across agriculture, energy, food safety, industrial manufacturing, and AI SaaS — for clients in Israel, Europe, and beyond. I care deeply about timelines, clean architecture, and building systems that real teams actually use day to day.
If you need an engineer who can architect, build, and deliver a complex system — or a technical partner who takes full ownership of outcomes — I'd love to hear about your project.
Deep dives on IoT architecture, AI system design, and lessons from shipping production systems. Articles will be published on Dev.to and Medium — links will appear here.
Payload decoding, device shadow management, and the real-world edge cases that cost projects weeks when ignored early in architecture.
Structured data doesn't behave like documents. Here's the architecture that actually works for telemetry, logs, and ERP databases.
How to choose between cloud inference and edge deployment for factory-floor CV systems when latency is non-negotiable.
Whether you're building an IoT platform, adding AI to your product, need computer vision for your factory, or want a technical partner to own your stack — I'd love to hear about it.