Martin Rajniak – ML/AI Engineer

Senior engineer with 12+ years in mobile pivoting into ML/AI engineering. Completed Géron's Hands-On ML cover-to-cover and shipped multiple end-to-end projects spanning computer vision, time-series forecasting, generative models, and LLM-powered applications. Experience with full MLOps stacks — experiment tracking, cloud GPU training, CI/CD pipelines, and mobile inference deployment.

ML Projects

Bean Disease Classification E2E

Deep CNN with transfer learning, 98% test accuracy on ~1k samples
MLflow experiment tracking + Airflow workflow orchestration
TFLite deployment to Android for real-time offline inference
Dockerized Modal cloud GPU training + Flask REST API

TensorFlowTFLiteMLflowAirflowDockerHuggingFace

Air Quality Forecasting E2E

Compared ARIMA, Prophet, XGBoost, LSTM (Willmott Index: 0.84)
Recursive forecasting with rolling-window cross-validation
CI/CD pipeline with GitHub Actions + Docker

XGBoostLSTMProphetstatsmodelsGitHub Actions

Sudoku Solver (Deep CNNs)

TFRecords for large-dataset efficient preprocessing
Curriculum (progressive) learning strategy
Custom loss function enforcing Sudoku constraints

TensorFlowTFRecordsCustom Loss

Variational Autoencoders (MNIST)

VAE for digit reconstruction and generation
Latent space visualisation; Beta-VAE experimentation

KerasGenerative ModelsBeta-VAE

Titanic (Kaggle) + Audio Emotion

Feature engineering with decision tree importance scoring
Audio emotion classification from spectral features

Scikit-LearnRandomForestAudio DL

Full-Stack ML App

Recall – Socratic AI Tutor IN PROGRESS

Socratic prompting system for coherent multi-turn LLM teaching
Book-specific grounding to prevent hallucination
Kotlin Spring Boot REST API on GCP Cloud Run
Supabase (PostgreSQL + Auth) + Groq API for fast inference
Compose Multiplatform (Android + iOS) client
Chrome extension for book content extraction

KotlinSpring BootGCPGroqAPICompose MPSupabase

Technical Skills

ML / DL

TensorFlow · Keras
PyTorch · Scikit-Learn
NumPy · Pandas
XGBoost · LSTM

MLOps

MLflow · Airflow
Docker · GitHub Actions
Modal (GPU)
TFLite · Flask

Cloud & Backend

GCP · Cloud Run
Firebase · Supabase
Kotlin · Spring Boot
Python · Go

Engineering Background

iOS Senior Engineering Manager

Gen Digital (Avast)

2022–2024

Principal / Lead Mobile Engineer

Avast Software

2015–2022

Android Developer

Foundation s.r.o.

2012–2015

Education & Learning

MSc Economic Informatics – Univ. of Economics, Bratislava 2007–2012

Hands-On ML – Scikit-Learn, Keras & TensorFlow (Géron) 2025

Developing Apps with Google Cloud – Coursera Specialisation 2024

IBM AI Engineering – Coursera (5/13 → switched to projects) 2025