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Fahis Jabbar

Fahis Jabbar

Software Engineer | AI Benchmark Engineering | IoT Systems

Talent
BengaluruMember since August 1, 2026
PythonDockerHarborGitGitHubPowerShellAI Benchmark EngineeringESP32Arduino IDEEmbedded SystemsSensor Integration
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PythonDockerHarborGitGitHub

About

Software engineering graduate (B.Sc. Internet of Things, 2026) with hands-on experience in Python development, containerized environments (Docker), version control (Git/GitHub), and Linux/PowerShell command-line workflows. Currently building and validating AI coding-agent benchmark tasks using the Harbor evaluation framework, with practical exposure to debugging, test automation, and reproducible environment design.

Combines this with systems-level IoT engineering experience across embedded hardware, sensor integration, and real-time data pipelines. Quick to learn new tools and comfortable working across the stack.

Experience

AI Benchmark Engineer (Freelance) at Handshake AI, Project Dynamo (2026-06 – Present)

  • Design and build benchmark tasks for AI coding agents inside reproducible, containerized environments, including reference solutions, scaffolding, and pytest-based verifiers.
  • Build and debug Docker-based task environments using the Harbor evaluation framework, resolving dependency conflicts, unpinned base images, and other environment misconfigurations.
  • Write Python scripts for task generation, data validation, and automated scoring; confirm correctness via Pass@k trials before submission.
  • Create adversarial and edge-case datasets to stress-test AI model performance, and iterate on benchmark difficulty based on reviewer feedback, using Git/GitHub for version control and PowerShell/Linux tooling.

IoT and Automation Intern at SMEC Technologies, InfoPark Kakkanad (2025-06 – 2025-07)

  • Diagnosed and resolved hardware/software integration issues across multiple embedded systems, improving reliability and uptime.
  • Developed and tested IoT-based solutions using ESP32, Arduino IDE, and sensors for real-time data acquisition and monitoring.
  • Collaborated with cross-functional engineering teams to troubleshoot system faults, document fixes, and improve performance.
  • Worked with communication protocols, cloud connectivity, and data acquisition pipelines relevant to technical support workflows.

Education

B.Sc. in Internet of Things (IoT) – Kristu Jayanti University (2023 – 2026)

Skills

Software EngineerAI Benchmark EngineeringIoT Systems

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