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Umar Farooq

@umarfarooq12

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Full Stack Engineer building scalable web, IoT, and cloud systems—improving performance and security.

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What I'm looking for

I’m looking for a team where I can build full-stack products with real-time data and IoT, improve performance and security end to end, and keep shipping with modern frameworks, automation, and clear measurable impact.

I’m a Full Stack Engineer with 2 years of experience building scalable web applications, IoT systems, and cloud infrastructure. I’ve delivered measurable impact in energy management and IoT sensor networks—improving system performance by up to 70%, reducing report sizes by 99%, and cutting manual processes by 75%. I enjoy tackling complex technical challenges and turning modern development practices into outcomes teams can measure.

In my most recent work, I designed and implemented Energia Suite solutions using Next.js and real-time data from InfluxDB, built React Native mobile monitoring, and engineered a BLE-based Wi‑Fi provisioning flow on Raspberry Pi to enable fully wireless IoT onboarding. I also focused heavily on reliability and efficiency—adding rollback-enabled import management, encrypting API communications end to end, optimizing bundles with webpack-bundle-analyzer and lazy loading, and converting Excel-based calculations into an optimized Python backend that improved processing speed by 70%.

Experience

Work history, roles, and key accomplishments

Current

AI Training Contributor

Current

OutlierAI

Apr 2026 - Present (2 months)

Generated, reviewed, and ranked AI-produced code for LLM training, improving reasoning, correctness, and best-practice adherence. Evaluated Python and JavaScript code-generation tasks with structured feedback to inform model quality.

LLM Training Python JavaScript Model Evaluation Structured Feedback

Full Stack Engineer

Gulf Organisation for Research & Development

Dec 2024 - Feb 2026 (1 year 2 months)

Built scalable energy management and IoT systems, improving system performance by 60%+ and reducing manual reporting time by 75% through real-time dashboards and analytics. Engineered BLE-based Wi-Fi provisioning and optimized data/report pipelines, cutting data corruption incidents by 95% and reducing report sizes from 50–60 MB to 200 KB.

Next.js React React Native Python InfluxDB Raspberry Pi BLE Wi Fi Provisioning REST APIs

DevOps Intern

Invogue Solutions (Pvt.) Ltd

Jul 2024 - Nov 2024 (4 months)

Supported CI/CD pipelines and automated deployments, reducing manual release efforts by 40% and improving deployment consistency. Implemented AWS CloudWatch monitoring/alerting and helped optimize backend processes, improving response time by 15% and reducing MTTR by 25%.

AWS CI CD Docker Cloudwatch Linux Git Github Monitoring