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I’m a Machine Learning Engineer with full-stack experience, specializing in end-to-end development of computer vision, multimodal, and LLM-based systems. I’ve led the design, training, and deployment of models that power real-time applications and client-facing tools, always prioritizing perceptual quality and user experience. I enjoy collaborating with cross-functional teams to translate ML outputs into impactful features, and I’m passionate about building robust data pipelines, APIs, and automation to accelerate delivery.…I’m a Machine Learning Engineer with full-stack experience, specializing in end-to-end development of computer vision, multimodal, and LLM-based systems. I’ve led the design, training, and deployment of models that power real-time applications and client-facing tools, always prioritizing perceptual quality and user experience. I enjoy collaborating with cross-functional teams to translate ML outputs into impactful features, and I’m passionate about building robust data pipelines, APIs, and automation to accelerate delivery.

Niyaz Nurbhasha

AI Engineer, Data Scientist, Full Stack Developer, +2

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I’m a Machine Learning Engineer with full-stack experience, specializing in end-to-end development of computer vision, multimodal, and LLM-based systems. I’ve led the design, training, and deployment of models that power real-time applications and client-facing tools, always prioritizing perceptual quality and user experience. I enjoy collaborating with cross-functional teams to translate ML outputs into impactful features, and I’m passionate about building robust data pipelines, APIs, and automation to accelerate delivery.…I’m a Machine Learning Engineer with full-stack experience, specializing in end-to-end development of computer vision, multimodal, and LLM-based systems. I’ve led the design, training, and deployment of models that power real-time applications and client-facing tools, always prioritizing perceptual quality and user experience. I enjoy collaborating with cross-functional teams to translate ML outputs into impactful features, and I’m passionate about building robust data pipelines, APIs, and automation to accelerate delivery.

Available to hire

I’m a Machine Learning Engineer with full-stack experience, specializing in end-to-end development of computer vision, multimodal, and LLM-based systems. I’ve led the design, training, and deployment of models that power real-time applications and client-facing tools, always prioritizing perceptual quality and user experience. I enjoy collaborating with cross-functional teams to translate ML outputs into impactful features, and I’m passionate about building robust data pipelines, APIs, and automation to accelerate delivery.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

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Expert

Expert

Language

English

Fluent

Work Experience

Machine Learning Engineer at BlueHalo

February 28, 2025 - October 26, 2025

Led development of deep learning models (CNNs, ViTs, GANs, diffusion) for facial animation and object detection, achieving industry benchmarks by prioritizing perceptual quality over standard accuracy metrics. Built a retrieval-augmented generation (RAG) pipeline using sentence-transformer embeddings and instruction-tuned LLMs to automate asset tagging, filtering, and personalization, boosting throughput 10x and cutting delivery time from days to minutes. Deployed production-grade, real-time inference services using PyTorch and TensorRT across AWS and on-prem GPUs, powering customer-facing applications. Collaborated with design and product teams to align ML outputs with user-facing goals, and built internal tools to streamline workflows and boost delivery efficiency. Developed REST APIs to serve models and data preprocessing pipelines for labeling and augmentation, improving face selection accuracy through lighting correction, pose filtering, and normalization.

ML Software Engineer at Radical Convergence

September 30, 2022 - October 26, 2025

Led development of end-to-end ML model workflows (CNNs, ViTs, GANs, diffusion) and deployment of real-time inference services across cloud and on-prem GPUs. Built data pipelines for labeling and augmentation, and collaborated with design and product teams to ensure ML outputs supported user experiences. Implemented model serving via REST APIs and contributed to performance improvements, reliability, and scalability of ML systems.