05/09/2026 updated
100 % available
Senior AI Systems Engineer | LLM Applications, Python, AWS
Auckland, New Zealand
Worldwide
Master of Science in Artificial Intelligence, University of AucklandAbout me
Senior AI Engineer with 10+ years of experience building AI systems and full-stack applications for companies, startups, and individual clients in New Zealand, Australia, and the US. My Email: robertiuoras2@gmail.com Whatsapp: +64 22 359 9402 Telegram: @robertiuoras107
Application Programming Interfaces (APIs)Artificial IntelligenceApache AirflowPython (Programming Language)Machine LearningNatural Language ProcessingTensorFlowPyTorchBackendScikit LearnArtificial Intelligence Markup Language (AIML)
AI & Machine Learning
Expertise in building AI-powered systems including LLM applications, NLP models, and machine learning pipelines using PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, OpenAI API, and LangChain.
Python & Backend Development
Strong proficiency in Python for backend and AI development, including FastAPI, Golang, Node.js, Express.js, REST APIs, and Microservices Architecture for scalable production systems.
Cloud & DevOps (AWS/GCP)
Design and deployment of secure cloud architectures on AWS (EC2, S3, Lambda, ECS) and GCP, including Docker, Kubernetes, CI/CD Pipelines, and Nginx for reliable and scalable infrastructure.
Natural Language Processing (NLP)
Application of NLP techniques including text classification, summarization, embeddings, and semantic search using LLMs and vector databases such as Pinecone and FAISS.
Data Engineering & Processing
Building end-to-end data pipelines including ETL processing, data ingestion, embedding, and retrieval workflows using Pandas, NumPy, and Apache Airflow.
Databases & Storage
Hands-on experience with relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, Redis, and vector databases (Pinecone, FAISS).
Frontend Development
Development of interactive dashboards and web interfaces using React, Next.js, HTML, CSS, and Tailwind CSS.
AI Infrastructure & MLOps
Model deployment, monitoring, experiment tracking, and scalable inference systems to support production-grade AI workloads.
Version Control & Collaboration
Proficient use of Git, GitHub, and GitLab for version control, code reviews, and collaborative software development workflows.
Expertise in building AI-powered systems including LLM applications, NLP models, and machine learning pipelines using PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, OpenAI API, and LangChain.
Python & Backend Development
Strong proficiency in Python for backend and AI development, including FastAPI, Golang, Node.js, Express.js, REST APIs, and Microservices Architecture for scalable production systems.
Cloud & DevOps (AWS/GCP)
Design and deployment of secure cloud architectures on AWS (EC2, S3, Lambda, ECS) and GCP, including Docker, Kubernetes, CI/CD Pipelines, and Nginx for reliable and scalable infrastructure.
Natural Language Processing (NLP)
Application of NLP techniques including text classification, summarization, embeddings, and semantic search using LLMs and vector databases such as Pinecone and FAISS.
Data Engineering & Processing
Building end-to-end data pipelines including ETL processing, data ingestion, embedding, and retrieval workflows using Pandas, NumPy, and Apache Airflow.
Databases & Storage
Hands-on experience with relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, Redis, and vector databases (Pinecone, FAISS).
Frontend Development
Development of interactive dashboards and web interfaces using React, Next.js, HTML, CSS, and Tailwind CSS.
AI Infrastructure & MLOps
Model deployment, monitoring, experiment tracking, and scalable inference systems to support production-grade AI workloads.
Version Control & Collaboration
Proficient use of Git, GitHub, and GitLab for version control, code reviews, and collaborative software development workflows.
Languages
EnglishFluent
Project history
Built custom AI-powered internal tools including LLM assistants, document processors, and workflow automation systems for small businesses and individual clients. Developed using Python (FastAPI), OpenAI APIs, vector databases (Pinecone/FAISS), and React-based dashboards. Designed secure cloud architectures (AWS/GCP) with proper data isolation and access control. Implemented end-to-end pipelines covering data ingestion, embedding, retrieval, and AI response generation. Significantly reduced manual workload by 40-60% for clients by automating repetitive tasks.
Developed NLP models for medical transcription and summarization, converting raw audio/text into structured clinical notes. Built using PyTorch, Hugging Face Transformers, and speech-to-text APIs (e.g., Whisper). Designed training pipelines and evaluation frameworks to improve model accuracy and consistency. Integrated models into scalable backend systems using Python, microservices, and REST APIs. Improved transcription accuracy and reduced clinician documentation time by 30%+.
Built signal classification models to detect and identify drone activity from RF data. Developed using Python (scikit-learn, TensorFlow) and custom signal processing pipelines. Implemented real-time backend systems with Python and C++ integrations for streaming and processing sensor data. Designed data ingestion and preprocessing pipelines for high-volume telemetry data. Increased detection accuracy and reduced false positives, improving system reliability in field operations.