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I am a Machine Learning Engineer based in Belgrade. I enjoy work where I have to slow down, understand how something really works, and then turn that understanding into a reliable system. I am especially drawn to speech, audio, learning algorithms, and projects where the details matter. My work focuses on production audio ML systems, real-time voice agents, backend ML infrastructure, GPU inference pipelines, and LLM-integrated applications. It spans speech synthesis, ASR, voice cloning, source separation, model serving, shipped consumer audio products, and mobile apps built with Flutter and Swift.

Technical Skills

A focused view of the tools and domains I use most often. Working knowledge means I have used the area in real projects and can ramp back quickly after a short refresh.

Core Strengths

Areas I can own independently in production or serious project work.

PythonPyTorchFastAPIAudio ML SystemsSpeech Synthesis / ASRVoice CloningSource SeparationGPU InferenceModel Serving APIsLLM / RAG IntegrationFlutter AppsFirebaseRedisRabbitMQLiveKitObject StorageFFmpegONNX

Working Knowledge

Applied in shipped products, internal tools, or serious prototypes, with enough context to reason through design tradeoffs and implementation details.

PostgreSQLDockerHugging FaceGymnasium / Maskable PPOTensorRTTFLiteSwiftNext.jsJavaScriptTypeScriptC++Electron JSSubtitle / SRT PipelinesDiarization / Segmentation

Outside Work

I am Syrian and have lived across different cultures while studying and working in Syria, Lebanon, China, Serbia, and remotely with international teams. That background shaped how I think about communication, language, and building tools for people with different contexts.

Away from engineering, I like playing ping pong and games like Call of Duty and Rocket League. I also spend time watching science YouTube channels such as Veritasium, Vsauce, 3Blue1Brown, Dwarkesh Patel, and WelchLabs. When I do not have much energy to focus, I usually switch to Syrian Arabic drama or Netflix.