Fernando ZuherFZ
Open to opportunities

Fernando Zuher

@fernandozuher

Polyglot software developer with expertise in backend and frontend technologies.

Brazil
Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my diverse skills and contribute to impactful projects.

I am a dedicated Software Developer with a strong background in diverse programming languages and platforms. My journey has taken me through various roles, from backend development to academic research in robotics, and I have honed my skills in frontend development using Angular. I pride myself on writing clean code and engaging in cross-language development, always striving to stay updated with the latest technologies.

Currently, I work as a Senior Software Analyst at Netcracker Technology Corp, where I develop and maintain rating and billing systems for European telecom clients. My expertise includes backend services in Go, C++, Java, and C, as well as frontend development with Angular. I have also contributed to projects involving machine learning and mobile app development, showcasing my versatility and commitment to innovation.

In addition to my professional experience, I have a passion for teaching and knowledge sharing, having taught courses in programming and web development. I am also working on a personal project, Know Your Language, aimed at guiding developers through various programming languages with practical examples and insights from my extensive experience.

Experience

Work history, roles, and key accomplishments

NC
Current

Senior Software Analyst

Netcracker Technology Corp.

Jan 2022 - Present (3 years 6 months)

Developed and maintained rating and billing systems for European telecom clients. Supported backend services in Go, C++, Java, and C, and utilized Angular for frontend development. Worked with PostgreSQL and Oracle databases.

DE

Fullstack Software Developer

Devtailor

Mar 2022 - Present (3 years 4 months)

Developed a Flutter application providing skincare recommendations through selfie analysis. Designed and implemented a machine learning solution to automatically assess selfie image quality, removing the need for manual inspection.

ZS

Software Developer

ZBRA Solutions

Jan 2021 - Present (4 years 6 months)

Developed and tested a web frontend application for the Oil & Gas industry. Initiated and led a study group to promote continuous learning and knowledge sharing among team members on project-related technologies.

U(

Academic Researcher

UFRN (Brazil) & Heriot-Watt University (UK)

Apr 2020 - Present (5 years 3 months)

Researched spiking neural networks to simulate motor control in humanoid robots, focusing on healthy and Parkinsonian gait behaviors. Developed a neural decoder in Python to control NAO robot locomotion via simulated brain regions.

Education

Degrees, certifications, and relevant coursework

UL

University of Genoa, DITEN, COSMIC laboratory

Graduate student visitor, Computer Science

Activities and societies: Published paper: Seminara Lucia, Gastaldo Paolo,Watt Simon J.,Valyear Kenneth F., Zuher Fernando, Mastrogiovanni Fulvio.Active Haptic Perception in Robots:A Review. Frontiers in Neurorobotics, 17 July 2019, DOI 10.3389/fnbot.2019.00053

Undertook a research internship focusing on Robotic Tactile Sensing. Collaborated with Professor Dr. Maurizio Valle and contributed to a published paper titled 'Active Haptic Perception in Robots: A Review'.

US

University of Sao Paulo, Institute of Mathematics and Computer Science

Research period, Robotic Tactile Sensing

Conducted research on Robotic Tactile Sensing under the supervision of Professor Dr. Roseli Romero. This period contributed to foundational knowledge in robotics.

US

University of Sao Paulo, Institute of Mathematics and Computer Science

Master's Degree, Computer Science

Activities and societies: Published paper: F. Zuher and R. Romero, Recognition of Human Motions for Imitation and Control of a Humanoid Robot, 2012 Brazilian Robotics Symposium and LatinAmerican Robotics Symposium, Fortaleza, 2012, pp. 190-195, doi: 10.1109/SBR-LARS.2012.38.

Completed a Master's Degree in Computer Science, with a dissertation on 'Recognition of human motions for imitation and control of a humanoid robot'. Published a paper related to the dissertation research.

FF

Federal University of Mato Grosso do Sul, Computing Faculty

Undergraduate, Computer Information Systems

Activities and societies: Final course assignment: Markov Localization for Mobile Robots: Study's Case on the Player/Stage simulator. Technical Report of Undergraduate Research: Fernando Zuher and Said Sadique. Classification of non-coding RNAs (RibonucleicAcids) using supervised machine learning algorithms. Federal University of Mato Grosso do Sul. Campo Grande- MS, Brazil, 2010.

Pursued an undergraduate degree in Computer Information Systems. Completed a final course assignment on Markov Localization for Mobile Robots and a technical report on classifying non-coding RNAs using machine learning.

Tech stack

Software and tools used professionally

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Fernando Zuher - Senior Software Analyst - Netcracker Technology Corp. | Himalayas