Avionics Engineer - Software & AI for Aerospace Systems

ROZ LUTHER MEESALA *****************@*****.***

912*******

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Avionics Specialist and Software Developer with experience in aerospace systems design and advanced programming. Currently a Project Associate at CSIR-NAL, working on Active Magnetic Bearings (AMB) in propulsion, covering electrical design, mechanical integration, and control systems. Former Python Developer at HCL, skilled in automation, scalable software solutions, and data-driven applications. Strong at bridging engineering design and software development to deliver innovative aerospace solutions. Prognostics Using NASA CMAPSS Datase t

Applied sensor data processing, feature extraction, and ML models for time-series analysis to improve early fault detection and maintenance planning in aerospace systems, enhancing reliability and safety . Machine Learning- Driven Object Detectio n

Developed ML-based object detection algorithms for drone surveillance in military applications. Built custom datasets to improve accuracy in threat identification, activity monitoring, and situational awareness .

Remaining Useful Life (RUL) Prediction for Battery Dataset s Designed ML models for predicting lithium-ion battery RUL using time-series health data. Built preprocessing pipelines, feature engineering, and deep learning models to improve lifecycle estimation and enable predictive maintenance in energy storage and EV systems. PROFESSIONAL SUMMARY

EDUCATION

Mother Theresa Institute of Engineering and Technology Affil.JNTUA, Palamaner, AP. B.tech - Electrical and Electronics Engineering

CGPA - 6.9 / 10

2018- 2022

Jawaharlal Nehru Technological University,Kakinada, AP M .Tech - AVIONICS

CGPA - 7.06 / 10

2023- 2025

SKILLS

EXPERIENCE

Designed and developed Active Magnetic Bearings (AMB) for aerospace propulsion systems, including electrical/mechanical design and 3D modeling in SolidWorks . Performed FEM-based structural and electromagnetic analysis in ANSYS to validate AMB design integrity and operational performance .

Conducted system modeling, simulation, and control strategy development to improve AMB stability, reliability, and fully contactless operation .

Analyzed SARAS Mk II throttle–control surface interaction by evaluating how throttle variations influence control surface deflections, assessing efficiency, response characteristics, and overall impact on aircraft handling.

Na tional Aerospace Laboratories (NAL)

Aerospace Standards: ARP4754, DO-254, DO-178B, DO-16 0 Avionics Protocols: MIL-STD-1553, ARINC 429, ARINC 629, ARINC81 8 Engineering Computation Tools: MATLAB Simulink, LABVIEW, COMSOL, ANSYS, XFLR 5 Programming Language: Python, Java, C, C++, C #

CAD and Design tool: Solidworks, AutoCad, Blender, Figma, KiCAD, Inkscap e Web Development: Javascript, HTML/CS S

Embedded Systems: Arduino Uno/ Nano, myDAQ/ myRI O 3D Application tools: Simplify3D, UltiMaker Cur a

Aug 2025- Present

Assisted in the development of a facial recognition system using deep learning for personnel identification in controlled access areas, achieving 93% accuracy . Conducted preprocessing and augmentation of image datasets to improve model robustness and reduce overfitting, resulting in a 20% reduction in model training time . Supported the implementation of a motion detection and tracking algorithm using OpenCV, improving target tracking precision in video streams for surveillance applications . Documented workflows, data pipelines, and model performance metrics, helping improve transparency and reproducibility in image processing projects. HCL Te chnologies Oct 2022- Dec 2023

PROJECTS

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