Available to hire
I am a results-driven Machine Learning and Software Engineer with over 5 years of experience in building scalable, production-grade machine learning systems and full-stack web applications. I have strong proficiency in Python, React, Django, and AWS and a deep expertise in large language models, natural language processing, and MLOps.
I enjoy delivering end-to-end intelligent automation solutions combined with modern web interfaces. I am passionate about leveraging the latest AI technologies to solve real-world problems and improve business outcomes.
Skills
Experience Level
Expert
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Language
English
Fluent
Work Experience
Senior Machine Learning Engineer at Guideline
May 1, 2025 - August 27, 2025Developed and deployed a real-time fraud detection system that reduced false positives by 30% and improved detection accuracy by 25%. Built an NLP-powered virtual assistant for scheduling appointments and answering health-related FAQs using Hugging Face Transformers and Rasa, achieving response latency under 1 second for over 100 intents. Utilized Langchain to build modular and scalable prompt workflows to enhance customer support systems. Led MLOps integration using MLflow and Docker, achieving a 40% reduction in deployment time. Collaborated across teams to productionize models via REST APIs on AWS.
Software Engineer at Instabase
December 1, 2022 - August 27, 2025Built predictive models for financial forecasting and risk classification using ensemble techniques. Designed and deployed end-to-end ML pipelines for real-time recommendation systems, reducing churn by 17%. Automated data pipelines with Apache Airflow, reducing manual ETL time by 60%. Designed and implemented an admin portal using Django and React for managing ML experiments. Collaborated with UX designers to implement responsive UI with Tailwind CSS. Developed computer vision CNN models for document parsing with 85%+ accuracy. Integrated LangChain for dynamic, prompt-based NLP solutions with Retrieval-Augmented Generation enabling flexible text extraction and classification. Conducted A/B tests and monitored model performance in production.
Data Analyst Intern at Grammarly
March 1, 2021 - August 27, 2025Assisted in collecting and preprocessing sales data for forecasting models. Built simple linear regression models to analyze regional sales trends. Presented findings to non-technical stakeholders. Created dashboards in Plotly Dash and performed trend analysis using SQL and Pandas to support marketing strategies.
Education
B.S. in Computer Science at James Cook University
September 1, 2015 - May 1, 2020Qualifications
Industry Experience
Financial Services, Healthcare, Software & Internet
Skills
Experience Level
Expert
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