Idan Cario

Results-driven Software Team Lead with expertise in backend architecture, full-stack development, IoT systems, and AI-assisted engineering workflows. Proven track record of leading developers, improving software quality, optimizing large-scale distributed systems, and accelerating delivery cycles. Reduced recurring ticket rate and shortened QA and validation processes from 15 days to 2 days, and significantly increased development throughput while improving reliability and scalability.

Team Lead - Senseer

(2024-01)

• Built an offline single PC deployment (server, UI, CouchDB) no internet required.
• Cut end-to-end latency ~1h → ~1s; delivered on-demand reports and process with cached aggregations improve more then ~100×.
• Tuned CouchDB → faster queries & smaller footprint.
• Architected protocol + reference implementation for multi-server/multi-reader sync.
• Managed GCP/AWS infra (GCE/EC2, VPC, LB, IAM, monitoring).
• Established STP/STD/STR QA process; CI-integrated Cypress E2E; one-click.bat runs and Python DB seeding tools.
• Led a 3-person cross-functional team (Frontend, Android, QA/Automation) in Agile; owned task prioritization/allocation and sprint/Gantt planning across microservices.
• Implemented automated CI/CD pipelines, automated testing flows, database seeding tools, and AI-assisted development workflows.

Full Stack Developer - Infinidome - HaEshel Street

(2023-01 - 2024-12)

• Architected and shipped a scalable IoT platform: integrating multi-threaded E2E u-blox↔server protocols for real-time communication with multiple devices.
• Refactored and optimized large-scale codebases from an outsourcing into maintainable, modular services.

Full Stack Developer - Origin GPS

(2022-01 - 2023-12)

• Hit 99% Google Lighthouse (perf/security); built full-stack + IoT apps (TCP/WebSocket/HTTPS) for tracking/alerts; implemented sorting/clustering/distance algorithms to optimize data; mentored students and managed Jira boards/Gantt timelines.

Bachelor of Engineering - Computer Science - Shenkar

Specialization - Deep Learning (NLP and computer vision)