AI/ML engineer and AI agent architect with strong experience building voice and conversational agents, RAG systems, and automated workflows for real-world business use cases in New Zealand and internationally. Hands-on with frameworks like LangChain, LangGraph, crewAI, and LlamaIndex, plus deployment and optimization across OpenAI, Groq, and local models (Ollama), including vector store testing and prompt/LLM tuning. Also builds data-driven computer vision and ML pipelines for resource-constrained inference, including ETL/EDA for image/sensor data and monitoring web apps with Django. Experienced in end-to-end AI product development: from data gathering and preprocessing to fine-tuning, evaluation, and operational automation using n8n, webhooks, and integrations (Slack/Airtable/Google Sheets).…

user1756810

AI/ML engineer and AI agent architect with strong experience building voice and conversational agents, RAG systems, and automated workflows for real-world business use cases in New Zealand and internationally. Hands-on with frameworks like LangChain, LangGraph, crewAI, and LlamaIndex, plus deployment and optimization across OpenAI, Groq, and local models (Ollama), including vector store testing and prompt/LLM tuning. Also builds data-driven computer vision and ML pipelines for resource-constrained inference, including ETL/EDA for image/sensor data and monitoring web apps with Django. Experienced in end-to-end AI product development: from data gathering and preprocessing to fine-tuning, evaluation, and operational automation using n8n, webhooks, and integrations (Slack/Airtable/Google Sheets).…

Available to hire

AI/ML engineer and AI agent architect with strong experience building voice and conversational agents, RAG systems, and automated workflows for real-world business use cases in New Zealand and internationally. Hands-on with frameworks like LangChain, LangGraph, crewAI, and LlamaIndex, plus deployment and optimization across OpenAI, Groq, and local models (Ollama), including vector store testing and prompt/LLM tuning.

Also builds data-driven computer vision and ML pipelines for resource-constrained inference, including ETL/EDA for image/sensor data and monitoring web apps with Django. Experienced in end-to-end AI product development: from data gathering and preprocessing to fine-tuning, evaluation, and operational automation using n8n, webhooks, and integrations (Slack/Airtable/Google Sheets).

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Work Experience

AI Agent Architect / Mortgage broker Dunedin (NZ) (2025{2025)
January 1, 2025 - December 31, 2025
Developed voice and conversational AI agent systems for customer support in a mortgage-broker context, including conversation orchestration and response handling. Built RAG solutions using LangChain with local model tooling (Ollama/unsloth) and tested multiple vector store backends (FAISS, Chroma, Weaviate, Pinecone) plus different text-splitting strategies. Implemented agent orchestration with LangGraph, crewAI, and Agno; developed interactive Q&A pipelines using Django. Optimized foundational LLM behavior for messaging bots (Telegram) and created LLM-based decision-making agents using OpenAI/Groq/Ollama. Tuned/optimized Azure Copilot conversation flows. Built automation workflows with n8n/defy.ai integrating Slack, Airtable, and Google Sheets, including custom n8n nodes and webhook triggers for real-time internal business processing to reduce manual operations by ~40%.
ML Engineer at Genesmith.ai
January 1, 2024 - January 1, 2025
Worked on computer vision deep learning pipelines for biometric identification and tracking (sheep face recognition and farm tracking). Developed tracking pipelines and Django web apps for interactive monitoring of livestock. Focused on optimizing ML models for inference on limited hardware resources (CPU/memory/power constraints). Performed EDA and ETL on sensor and image data to support training and deployment.
ML Engineer at Otago Forest (NZ)
April 1, 2023 - December 31, 2023
Developed computer vision/deep learning algorithms for depth 3D LiDAR data. Reconstructed forest scenes and estimated/predicted wood volume/woods in scenes using CNN-based approaches. Performed data cleaning and preprocessing for LiDAR inputs and model training.
Data Scientist and Quant Developer at DytaScy
January 1, 2019 - January 1, 2020
Performed EDA and ETL on market time-series data. Built crypto price movement prediction models using RNNs, LSTMs, and Transformers. Conducted risk assessment and ML-driven strategy optimization via anomaly detection to improve trading decisions. Designed and maintained Power BI dashboards and developed algorithmic trading bots/APIs.
Software Developer at Bina Afarin
January 1, 2018 - May 1, 2019
Built OpenCV/PyQt applications for real-time object detection and developed automated image enhancement tools. Implemented a video surveillance system with motion detection and a PyQt interface. Developed an interactive QR code scanner application.
ML Engineer at Asemon
January 1, 2017 - January 1, 2018
Developed object detection for star-based aircraft navigation (SLAM). Implemented graph matching algorithms to match stars to database graph patterns.
AI Engineer (Internship) at Lavan
January 1, 2015 - December 31, 2015
Designed full robot systems including robot/PCB design and PIC programming. Defined robot strategy/behavior using computer vision, and implemented path planning and navigation.
AI Engineer at Sama
January 1, 2015 - January 1, 2016
Implemented object detection and recognition using optical flow for pedestrian tracking. Developed breast cancer analysis using HOG features with an SVM classifier, and built CNN-based diagnosis for diabetic retinopathy.

Education

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Qualifications