Shafinaz Shahrin M.

Key Skills

Software

Don't disclose

Top Subject Matter

Autonomous UAV systems and AI for environmental monitoring

Robotics control simulation and optimization

Aerospace propulsion research and technical reporting

Top Data Types

Text

Audio

Top Task Types

Object Detection

Entity (NER) Classification

Freelancer Overview

Autonomous Aerospace Systems Intern (Team Pegasus) — Eagle Ray BWB UAV development, AI sensor-fusion and object detectio. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include MAVProxy and Don't disclose. Education includes International Bachelor in Mechanical, Materials and Aerospace Engineering, INSA Lyon (2026) and Higher Secondary Certificate (HSC), Ispahani Public School and College (2025). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Object Detec

Labeling Experience

Autonomous Aerospace Systems Intern (Team Pegasus) — Eagle Ray BWB UAV development, AI sensor-fusion and object detection

Object Detection

Built and refined AI pipelines for remote habitat monitoring, including real-time object detection components and multimodal data processing. Used flight logs and mission analysis outputs to support autonomy development and model-driven behaviors during UAV missions. Integrated these capabilities into mission execution workflows for autonomous aerospace systems. • Implemented real-time object detection using YOLO and multimodal processing for habitat monitoring. • Conducted mission log analysis and glide-slope issue resolution to improve autonomous mission profiles. • Developed autonomy and control systems using DroneKit-Python, ArduPilot scripting, and MAVProxy. • Performed LCDP stability analysis and aerodynamic modeling using OpenVSP to inform vehicle behavior decisions.

2026 - Present

Robotics & Controls Engineering Intern - Johnson & Johnson

AudioObject DetectionEntity (NER) Classification

As a robotics and controls engineering intern, you diagnose inefficiencies in a surgical robotic arm control system. You use Python-based diagnostic tools to identify root causes of delays and propose targeted optimisations. You prepare a professional design proposal with clear technical visuals and recommendations. • Use Python tools to analyse control-system performance • Identify delays and their underlying causes • Modify designs using annotated technical visuals • Draft a proposal to improve robotic arm precision and durability.

2025 - 2025

Aerospace Engineering Intern (Explore Engineering) — Propulsion energy source comparison and technical presentation

Don't discloseText

Researched and compared alternative energy sources for propulsion systems for aerospace applications. Evaluated tradeoffs across cost, energy density, storage requirements, and overall design impact. Synthesized findings into a technical presentation addressing limiting factors for next-generation propulsion systems. • Assessed alternative propulsion energy sources using cost and energy-density comparisons. • Researched bypass and compression ratios and their effect on turbofan engine design. • Compiled design-impact considerations for propulsion energy selection. • Delivered a technical presentation summarizing limiting factors for next-generation propulsion.

2025 - 2025

Robotics & Controls Engineering Intern — Surgical robotic arm control system diagnosis and optimization

Don't disclose

Diagnosed control-system inefficiencies in a surgical robotics simulation using Python-based tools. Performed targeted analyses to identify root causes of delays in a robotic arm control pipeline. Produced a professional design proposal with recommendations to improve robotic arm precision and durability. • Used Python-based tools to analyze robotic arm control delays and inefficiencies. • Interpreted diagnostic results to implement targeted optimization recommendations. • Developed annotated technical visuals to support proposed design modifications. • Compiled findings into a design proposal aimed at improving precision and durability.

2025 - 2025

Education

Work History