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Overview
Work History
Timeline
Education
Skills
Amber Qayum Hawabaz

Amber Qayum Hawabaz

Aeronautical and Machine Learning Engineer
Baramulla

Summary

As a multidisciplinary Aerospace and Machine Learning Engineer, I merge expertise in UAV and flight dynamics, CFD simulations, and AI algorithm development with proficiency in MATLAB, Python, and data analysis. My approach integrates cutting-edge AI into aerospace applications and various other fields , driving technological advancements and enhancing user experiences through smart data insights. With a solid foundation in aeronautical engineering and AI , my work spans designing aircraft components to optimizing performance with specialized software. Renowned for innovative problem-solving and collaboration, I turn complex concepts into practical solutions across disciplines, pioneering progress in aerospace and AI.

Overview

3
3
years of professional experience
3
3
Languages

Work History

Machine Learning Engineer

Mysuru Consulting Group
08.2022 - Current
  • Led telecommunications optimization projects using machine learning algorithms, enhancing SMS traffic allocation
  • Spearheaded the development of AI and ML models, incorporating LLMs to improve NLP capabilities and Forecasting methods
  • Integrated AWS services for scalable model deployment, enhancing system efficiency and reliability
  • Spearheaded telecommunications optimization projects, reducing SMS traffic allocation times by 30% through machine learning algorithms
  • Led an agro-tech drone design initiative, enhancing crop health monitoring capabilities by integrating advanced sensor technology
  • Pioneered a revolutionary robotic arm design, applying machine learning to improve efficiency by 25% in automated tasks
  • Developed anomaly detection models for satellite signals and wind turbines, improving system reliability by 20%.
  • Streamlined data ingestion pipelines by automating repetitive tasks, reducing processing times significantly while maintaining high-quality outputs.
  • Conducted regular code reviews to maintain high standards of coding practices and identify areas for improvement in existing implementations.
  • Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.

Aerodynamics Engineer

Aeronautical Development Establishment
02.2022 - 07.2022
  • Spearheaded the development and implementation of advanced performance codes for unmanned aerial vehicles (UAVs) using MATLAB, enhancing operational efficiency and precision
  • Conducted comprehensive computational fluid dynamics (CFD) simulations across a variety of scenarios utilizing top-tier software such as ICEM CFD, Ansys Fluent, CFD++, and Star CCM+, driving significant innovations in UAV design
  • Expertly analyzed and interpreted CFD results, identifying key opportunities for enhancement in UAV aerodynamics, resulting in a remarkable 15% boost in performance efficiency
  • Led groundbreaking research into UAV icing simulations, pioneering strategies to guarantee operational safety under adverse weather conditions, thereby setting new industry standards
  • Innovated and rigorously tested UAV icing simulations, ensuring unparalleled safety and effectiveness in severe weather, contributing to the development of more resilient UAV systems
  • Fostered collaboration with multidisciplinary teams to refine UAV design and performance, leveraging diverse expertise to achieve superior outcomes
  • Authored detailed reports and crafted compelling presentations on research discoveries, effectively communicating critical insights to both internal and external stakeholders, influencing future UAV development strategies
  • Diligently maintained comprehensive documentation of research activities and outcomes, establishing a valuable knowledge base for ongoing and future projects
  • Proactively engaged in professional development opportunities, remaining at the forefront of aerodynamics engineering and related technological advancements, ensuring continued personal and professional growth.
  • Excellent communication skills, both verbal and written.
  • Strengthened communication skills through regular interactions with others.
  • Exercised leadership capabilities by successfully motivating and inspiring others.

Structural Test Engineer

Aeronautical Development Establishment
05.2021 - 01.2022
  • Masterfully conducted both static and dynamic structural testing on aircraft prototypes and their components, employing rigorous methodologies to assess performance metrics and pinpoint potential design enhancements
  • Leveraged MATLAB and Python with high proficiency to meticulously analyze UAV flight data, accurately determining strain metrics under varying flight conditions, thereby enhancing structural integrity and performance
  • Demonstrated exceptional expertise in aerodynamics, flight mechanics, and control laws, executing sophisticated flight simulations and computational fluid dynamics (CFD) analyses to predict and optimize aircraft performance
  • Innovated by developing and integrating advanced neural network algorithms for data processing, alongside proficient use of NASTRAN and Altair Hyperworks for comprehensive structural analysis, setting new standards in aircraft design and evaluation
  • Executed advanced off-line data processing techniques for aircraft Structural Health Monitoring (SHM), incorporating acoustics, experimental modal analysis, and vibration shock tests, underpinned by cutting-edge signal processing to ensure operational integrity and safety
  • Utilized design and analysis powerhouses CATIA, SOLIDWORKS, and LINUX to design, simulate, and critically analyze aircraft structures and systems, demonstrating a seamless blend of precision engineering and computational mastery
  • Articulated complex technical findings and innovative solutions with clarity and impact to team members and management through Microsoft Word documents and engaging presentations, fostering an environment of knowledge sharing and collaborative growth
  • Engaged in dynamic collaboration with engineers and technicians, spearheading initiatives to refine testing processes and drive efficiencies, showcasing leadership in advancing aerospace testing methodologies and practices.
  • Collaborated with development teams to identify, reproduce, and resolve software issues promptly.
  • Increased product reliability, conducting rigorous stress testing on new features before release.

Member

Space Generation Advisory Council
01.2021 - Current
  • Provided support to management during annual membership renewal campaigns, leading to successful renewals and improved retention rates.
  • Addressed conflict resolution among members respectfully while adhering to organizational policies.
  • Handled incoming calls professionally, addressing member inquiries efficiently or directing them to appropriate staff as needed.
  • Managed communication channels including email, social media, and newsletters for timely responses to member inquiries and keeping them informed of relevant news or updates.
  • Contributed to the advancement of space technology through participation in discussions and development of proposals for new initiatives.
  • Collaborated with professionals in the field of space technology to identify and address key challenges.
  • Developed and presented reports and presentations on emerging trends and technologies in space technology.
  • Provided technical expertise in areas such as electromagnetics, electrical circuits, transmission lines, and software development for data processing.
  • Communicated technical information and findings to team members and management in written and verbal form.
  • Participated in team meetings and events to discuss ideas and share knowledge.
  • Maintained documentation and records of activities and outcomes.
  • Participated in training and development programs to stay up to date with the latest advancements in space technology.

Citizen Scientist

NASA - National Aeronautics and Space Administration
01.2021 - 08.2021
  • Volunteered as a researcher for NASA's citizen science projects and contributed to image and data classification efforts
  • Utilized data processing and analysis techniques to classify large amounts of data in a timely and accurate manner
  • Maintained consistent and detailed documentation of findings and observations
  • Collaborated with other volunteers to review and improve data classification techniques
  • Communicated findings and progress updates to project coordinators
  • Participated in training and development programs to enhance image and data classification.

Intern

Hindustan Aeronautics Limited
01.2019 - 02.2019
  • Worked on the development of autopilot system for Light Combat Helicopter as a part of Mission and Combat System Research Design team
  • Utilized MATLAB for data processing and analysis, in conjunction with C and C++ programming languages
  • Contributed to the testing and validation of the autopilot system through simulation and hardware testing
  • Collaborated with team members to review and improve the autopilot system's performance
  • Presented technical information and progress updates to team leads and management.
  • Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
  • Gained hands-on experience in various software programs, increasing proficiency and expanding technical skill set.

Timeline

Machine Learning Engineer - Mysuru Consulting Group
08.2022 - Current
Aerodynamics Engineer - Aeronautical Development Establishment
02.2022 - 07.2022
Structural Test Engineer - Aeronautical Development Establishment
05.2021 - 01.2022
Member - Space Generation Advisory Council
01.2021 - Current
Citizen Scientist - NASA - National Aeronautics and Space Administration
01.2021 - 08.2021
Liverpool John Moores University - Master of Science, Artificial Intelligence And Deep Learning
10.2020 - 02.2023
Intern - Hindustan Aeronautics Limited
01.2019 - 02.2019
MVJ College of Engineering - Bachelor of Engineering, Aeronautical Engineering
2015.08 - 2020.02

Education

Master of Science - Artificial Intelligence And Deep Learning

Liverpool John Moores University, UK
10.2020 - 02.2023
  • GPA/CGPA-Merit
  • Thesis Paper: Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
  • Explored and applied AI methodologies to improve the efficiency and accuracy of COVID-19 diagnosis using imaging data.
  • Focused on the development of advanced AI techniques for enhanced data acquisition, image segmentation, and diagnostic processes in medical imaging.
  • Generative Adversarial Model for MRI Image Enhancement - Capstone Project
  • Developed a modified U-Net based generative adversarial model to generate artificial MRI images with varying contrast levels from existing MRI data.
  • Aimed to improve the quality and usability of MRI images for better diagnostic outcomes, leveraging deep learning techniques.

Skills & Competencies Section

Technical Skills:

  • Programming Languages: Proficient in Python; familiar with Advanced SQL for database management and data analysis.
  • Machine Learning & AI: Enterprise Machine Learning, Advanced Deep Learning, Natural Language Processing (NLP), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transfer Learning, Reinforcement Learning, Bayesian Inference.
  • Data Analysis & Modeling: Expertise in Inferential Statistics, Advanced Regression Analysis, Optimization Techniques, Time Series Analysis.
  • AI in Healthcare: Specialized in applying AI techniques for medical imaging, including image segmentation and enhancement for diagnostic purposes.

Conceptual Knowledge:

  • Developed a comprehensive understanding of lexical and syntactical processing techniques in the context of AI applications.
  • Gained insights into model deployment strategies, ensuring the practical application of AI models in real-world scenarios.
  • Completed an extensive capstone project, integrating various AI and machine learning techniques to address complex problems.

Bachelor of Engineering - Aeronautical Engineering

MVJ College of Engineering
2015.08 - 2020.02
  • Internship,Hindustan Aeronautics Limited, Completed [2019]

Navigation Autopilot Mode for Helicopter Using PID Algorithm

· Designed, simulated, and modeled an autopilot system for optimal helicopter navigation using the PID algorithm.

· Ensured system's ability to autonomously guide and monitor flight data, enhancing pilot performance and safety.

Autopilot System Development Using Stability and Control Matrix

· Developed an advanced control system for medium-class helicopters, applicable to both commercial and military use.

· Focused on a 3-axis system configuration to maintain precise orientation and stability of the helicopter.

Technical Proficiencies

· Gained extensive knowledge in aerospace engineering principles and avionics.

· Developed proficiency in design, simulation, and modeling of complex systems.

· Mastered control systems and algorithms for optimal navigation and system stability.

· Enhanced abilities in navigation systems and data engineering.

Software and Tools

· Became proficient in ICEM CFD for computational fluid dynamics analyses.

· Utilized MATLAB and Simulink for mathematical modeling and simulation tasks.

· Applied C and Python programming languages for algorithm development and data processing.

· Gained experience with ANSYS products for engineering simulation and 3D design.

Additional Skills

· Learned machine learning techniques for predictive modeling and analysis.

· Adopted agile methodologies for efficient project management and execution.

· Enhanced analytical skills through complex problem-solving and data analysis.

Skills

Technical Proficiency and Areas of Expertise:

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Amber Qayum HawabazAeronautical and Machine Learning Engineer