Naman Barkiya - Applied AI Engineer Portfolio

Zsombor Veres-Lakos

Software engineer transitioning into Machine learning engineer

Software engineer working at the intersection of backend systems and applied machine learning engineering.

Projects

Showcasing impactful projects and technical achievements.

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Convolutional neural network from scratch

Convolutional neural network implemented from scratch in Rust.

from_scratch
deep_learning
first_principle
cnn
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Sound-Based Anomaly Detector

CNN autoencoder detecting industrial machine anomalies from sound, reaching 0.98 AUC vs. a 0.99 AUC research baseline.

Machine Learning
MLOps
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Support Vector Machine from Scratch

Built an SVM in C# using Sequential Minimal Optimization, no external ML libraries, validated on Iris and MNIST.

machine_learning
optimization
first_principle

Experience

Professional journey and career timeline.

Ilogs

Software Developer

IlogsKlagenfurt, Austria
2024 - Present

I am developing the backend server for JAMES, a wearable emergency-call device primarily used by elderly and dementia patients.

C#ASP.NET+6 more
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Incadea

Software Developer

IncadeaKlagenfurt, Austria
2023 - 2024

I developed the backend part of a car dealership application.

C#ASP.NET+6 more
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p92

Software Developer

p92
2022 - 2023

Projects I have worked on include: backend development for Shox (Hungarian motor vehicle accessories shop), an accounting system for internal usage in the company, and a personalised eGift Cards system.

C#ASP.NET+6 more
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Skills

Key skills that define my professional identity.

C#/.NET

Innovative, open-source, cross-platform object-oriented programming language.

Git / CI/CD

Version control and deployment workflows across professional projects.

English

C1 Full Professional Proficiency

SqlServer

Manage and organize relational databases efficiently for data-driven applications.

Docker

Build, share, and run container applications

FastAPI

Expose ML models and AI services via REST APIs.