Looking for a job

Nikola Rahman

@nikolarahman

Message

Machine learning engineer building real-time 4K video super-resolution at 30 fps with TensorRT and CUDA.

Serbia

Message

As an independent machine learning engineer, I trained and shipped a video super-resolution system that upscales to 4K in real time at 30 frames per second. I exported models to ONNX, built TensorRT engines for different GPU architectures, and wrote CUDA kernels for frame interpolation.

For Vidaio, I designed a video super-resolution evaluation metric and tested it against 665 blind human labels; it agreed with human judgments 85% of the time. I also fine-tuned an 8B LLM for function calling and tool use.

At Carrier, I implemented MLOps processes for deployment, monitoring, and retraining, and helped data science teams move models into production. Earlier at HTEC Group, I founded and led the machine learning team, which grew from 0 to 20 members, and worked on medical-grade ECG algorithms validated to IEC standards.

Experience

Work history, roles, and key accomplishments

Current

Independent Machine Learning Engineer

Current

Self Employed

Jan 2024 - Present (2 years 10 months)

Developed real-time video super-resolution systems with TensorRT and CUDA, fine-tuned LLMs, and designed evaluation metrics. Built MLOps processes and deployed models to production.

TensorRT Onnx CUDA LLM Fine tuning LoRAs QLoRA fastAPI Redis GPU Optimization Video Engineering NVENC NVDEC SVT AV1 x264 x265 E LPIPS Evaluation Metrics

Founder and Developer

Mikey

Apr 2026 - Jun 2026 (2 months)

Built and launched a paid dictation app for Mac and Windows with AI voice commands, including full-stack development with Cloudflare Workers, Supabase, R2, and Lemon Squeezy billing.

Cloudflare Workers Supabase LemonSqueezy Fullstack Development AI Voice Control

ML Research Engineer

Carrier

Jul 2023 - Dec 2024 (1 year 5 months)

Implemented MLOps processes for model development, deployment, monitoring, and retraining, and developed pipelines for distributed training of 500,000 personalized ML models. Improved energy efficiency models by 30% and created predictive maintenance models.

AWS Kubeflow MLOps Distributed Training Predictive Maintenance Energy Efficiency

Independent ML Contractor

Self Employed

Jan 2021 - Dec 2023 (2 years 11 months)

Provided ML consulting across multiple projects including LLM fine-tuning, arrhythmia detection, earnings forecasting, distributed training, and hardware-specific neural network optimization.

LLM Fine tuning NLP PyTorch DDP Ray Mixed Precision BERT Semantic Search Medical AI Signal Processing DSPs C TensorFlow

Lead Machine Learning Engineer and Project Manager

HTEC Group

Jan 2014 - Dec 2021 (7 years 11 months)

Founded and led a machine learning team from 0 to 20 members across over 20 client projects. Delivered real-time inference, medical-grade ECG algorithms, and optimized neural network implementations.

Team Leadership Project Management Real Time Inference U Net Quantization Pruning Halide SNPE ECG Processing C Deep Learning Computer Vision

ML Engineer

Freelancer

Jan 2017 - Dec 2018 (1 year 11 months)

Launched a POC Android app for real-time product classification in supermarkets using a CNN optimized with transfer learning for real-time performance on the phone.

Android CNN Transfer Learning Real Time Inference