Saiffullah

Sabir Mohamed

Bengaluru · India · saif25596@outlook.com

I am an Avionics Engineer with extensive expertise in the realms of Flight Management Systems, encompassing software development and verification, as well as Unmanned Aerial Systems, involving software development and integration. My professional journey is characterized by a steadfast commitment to continuous learning and the practical application of acquired knowledge. Additionally, I possess in-depth knowledge of DO-178B/C software development life cycle activities. Over the course of my career, I have actively contributed to a diverse array of projects, including endeavors such as the coordination of drone swarms, the orchestration of captivating drone light shows, and the realization of vision-based autonomous landing systems, among others.

Work Experience

Associate Engineer Software

Collins Aerospace
  • Developed comprehensive Low-Level and High-Level software requirements for Flight Management Systems in strict accordance with RTCA DO-178 B/C standards.
  • Majorly involved in the design and development efforts for Flight Management Systems software (DAL B), consistently ensuring adherence to specified requirements.
  • Development of software prototypes for novel features within the existing system, contributing to innovative advancements.
  • Worked on rigorous testing procedures, encompassing both software modifications and prototypes, within the Virtual Software Integration Rig environment.
  • Collaborated seamlessly across teams, extending expertise to Input-Output Translation software alterations. This included the formulation of interface-level design specifications, network configuration interface enhancements, and virtual machine configuration table updates to optimize resource allocation.
  • Drove the development and enhancement of specialized tools tailored to I/O requirements, aligning intricately with established processes and evolving demands.
  • Demonstrated prowess in debugging Flight Management Systems and I/O verification issues across diverse hardware architectures. Proficiently generated Mediasets to facilitate loading onto target PC architectures.
  • Played a pivotal role in supporting Tool Qualification activities for a specialized I/O-specific tests generator tool, ensuring robust compliance and adherence to standards.
  • Internally Qualified Reviewer and Pre-Commit Approver, overseeing the evaluation and approval of DO-178B Software development lifecycle artifacts.
January 2022 - Present

Engineer (Avionics) - Drone Development

Dhaksha Unmanned Systems Private Limited
  • Orchestrated the development of drone swarming capabilities, including pattern formation, path planning, and centralized swarming operations. Also, Implemented advanced algorithms for inter-drone collision avoidance, crucial for safe and coordinated flying at the same altitude.
  • Led the development of two versions of Light Show Software (1.0.0 and 2.0.0), enhancing performance and functionality. Version 1.0.0 was based on MAVProxy, while Version 2.0.0 utilized IP Sockets for improved reliability.
  • Crafted and executed an intuitive user interface (GUI) for the Light Show Software and an Inter-drone Collision Avoidance system. Leveraging the QT framework, these enhancements significantly improved user accessibility and control.
  • Offered invaluable assistance to the development team throughout the esteemed Indian Air Force Mehar Baba Swarm Competition. Consistently provided support for a range of swarm-related demonstrations and tenders, playing a pivotal role in advancing the team’s achievements and overall project success.
December 2020 - October 2021

Graduate Trainee Software Engineer

Collins Aerospace
  • Optimization of multiple FMS User Interface (FUI) High-Level Verification Test Scripts, significantly reducing their run-time on the target platform while preserving full functionality.
  • Played a pivotal role in the Continuous Building & Testing activity, meticulously identifying and rectifying root causes behind critical failures and crashes in various software components.
  • Collaborated with the team to devise specialized domain-specific guidelines, incorporating generic changes to streamline the execution time and enhance the consistency of High-Level Verification Test Scripts.
  • Demonstrated proactive engagement by swiftly addressing issues within respective teams during the early stages of development, preemptively averting complications that could impact batch runs.
  • Actively participated in the FMS Innovation event, contributing two groundbreaking ideas. Both ideas garnered recognition in the ”Ideas Worth Rapid Prototyping” category, culminating in the receipt of the prestigious Young Innovator award during the FMS Innovation event.
  • During Innovation Week 2020, submitted a total of seven innovative ideas, with three of them selected for potential consideration as intellectual property (IP).
  • Beyond regular work assignments, actively engaged with the Launchpad Community, channeling efforts towards the development of advanced path planning and path tracking algorithms tailored for Unmanned Aerial Vehicles (UAVs).
July 2019 - December 2020

Internships

Project Intern

Collins Aerospace
  • Collaborated within the FMS User Interface (FUI) team to modernize FUI High-Level test scripts by transitioning from program-specific widget databases to a shared, common widget database.
  • Gained expertise in the creation of test cases and test scripts, ensuring thorough verification of widget and layer functionality within the FUI, in alignment with defined requirements.
  • Furthered proficiency in software development tools such as Peer Review Eclipse Plugin (PREP), Jama, VISTA, and TortoiseSVN through the process of artifact creation, change commits to branch repositories, and initiating reviews for updated artifacts.
  • Participated in a datathon contest hosted by the Launchpad team, enhancing knowledge in machine learning concepts and fostering a well-rounded skill set.
December 2018 - June 2019

Project Intern

Centre for Aerospace Research
  • Contributed to diverse projects encompassing vision-based landing systems, drone swarming, fully autonomous UAVs, and object classification from drone imagery.
  • Engineered a robust and highly secure drone delivery algorithm powered by AI, guaranteeing the integrity and confidentiality of deliveries.
  • Designed and developed the DeliDrone Android application to enhance customer service and facilitate seamless interactions.
  • Cultivated expertise in the fields of Cryptography and Cybersecurity, expanding knowledge to bolster digital protection and privacy measures.
  • Provided essential technical support to the team for various international and national level competitions, including the Medical Express UAV challenge in 2018 (Australia).
January 2018 - December 2018

Education

Anna University - Mit Campus

Master of Engineering
Avionics

CGPA: 8.849

August 2017 - April 2019

Krishnasamy College of Engineering and Technology

Bachelor of Engineering
Electronics and Communication Engineering

CGPA: 8.25

July 2013 - April 2017

Institute of Distance Education, University of Madras

Master of Science
Cyber Forensics and Information Security

CGPA: 8.093

July 2020 - June 2022

Skills

Programming Languages & Tools
  • Ada
  • Python
  • C
  • Go
  • HTML
  • CSS
  • C++ (Basics)

Operating Systems

Softwares & Tools
  • Autopilot - Pixhawk.
  • Embedded boards - Arduino, Raspberry Pi, Intel NUC, Odroid, Orange Pi, Intel Up Board, Latte Panda.
  • Graphical User Interface - QT, Tkinter.
  • Ground Control Station - Mission Planner, QGroundControl.
  • Image Processing Tool - OpenCV.
  • Multimedia Tools - Adobe Photoshop, Adobe After Effects, Blender, Inkscape, Sony Vegas Pro.
  • Navigation and Guidance - Dronekit, MAVProxy, Ardupilot, MAVp2p.
  • Review Tools - Peer Review Eclipse Plugin (PREP), JAMA.
  • Networking - ZeroTier, Wireshark.
  • Scientific and Analysis Tool - MATLAB.
  • Version Control Tools - TortoiseSVN, Git.
  • Others - Atlassian Confluence & Jira.

Languages
  • English - Professional working proficiency.
  • Tamil - Native or bilingual proficiency.
  • Malayalam - Elementary proficiency.

Projects

Academic Projects

PG Project
  • Autonomous Landing Of Unmanned Aerial Vehicle Using Artificial Intelligence.
  • Highly Secured Autonomous Landing Of Unmanned Aerial Vehicle Using Artificial Intelligence.

UG Project
  • Attendance Management System Based On Face Recognition Using Matlab And Raspberry Pi With Short Messaging Service.

Mini Projects

  • Automated Tracking And Following Of Moving Object Using Unmanned Aerial Vehicle.
  • Integration Of Global Positioning System With Inertial Navigation System.
  • Hardware In The Loop Simulation Of Aerial Vehicles Using Mission Planner.
  • IR Jammer.
  • Smart FM Transmission.
  • Design Of Flight Controller Using Arduino Uno.
  • Conversion Of Image Coordinates To GPS Coordinates In Geo Tagged Images.

Interests

Area Of Interest

  • Automation of Unmanned Systems
  • Navigation Systems
  • Embedded Systems


Hobbies

  • Graphic Designing
  • Multimedia Editing
  • Screen Writing

Responsibilities

  • Student Coordinator of Symposiums Conducted By Krishnasamy College of Engineering and Technology.
  • Student Representative of Anti-Ragging Committee - Krishnasamy College of Engineering and Technology.
  • Class Representative - Krishnasamy College of Engineering and Technology.

Awards & Certifications

  • Spot Award - For Accountability - June 2023 - Collins Aerospace.
  • Star Awards - November 2022, August 2022 - Collins Aerospace.
  • Rapid Prototype Award - FMS Innovation Event.
  • Young Innovator Award - FMS Innovation Event.
  • 1 st Place - Mini Project - IR Jammer.
  • 3 rd Place - Mini Project - Smart FM Transmission.
  • 3 rd Place - Paper Presentation - Radar Based Touchless Control.
  • 1 st Place - Crazy Technicians - Technothirst 2016-2017 (AVC College Of Engineering).
  • 1 st Place - ADZAP - Technothirst 2016-2017 (AVC College Of Engineering).

Portfolio