Available to hire
I am an AI/ML Engineer with 9 years of experience designing and deploying intelligent systems across various industries such as travel, fintech, and SaaS platforms. I specialize in machine learning, natural language processing, and predictive analytics, with strong expertise in Python, TensorFlow, PyTorch, and Scikit-learn. I have a passion for applying AI to real-world use cases that drive measurable business value.
Throughout my career, I have developed and maintained scalable AI pipelines, cloud-based solutions, and APIs that have improved model deployment efficiency and business outcomes. I enjoy working in collaborative environments to solve complex problems and bring innovative AI-driven products to life.
Skills
Work Experience
AI/ML Engineer at Kevesta
January 1, 2025 - PresentDesigned and deployed AI models for risk mapping in decentralized travel and finance platforms, improving fraud detection accuracy by 28%. Developed a smart wallet AI scoring system integrating blockchain analytics with predictive ML models. Built real-time recommendation systems for flight and apartment bookings, increasing conversion rates by 22%. Architected and maintained MLOps pipelines with AWS SageMaker, Docker, and CI/CD, reducing model deployment time by 40%. Implemented NLP-based customer support chatbots, improving response efficiency by 30%.
Machine Learning Engineer at Nexus Devs
December 1, 2024 - August 20, 2025Built predictive demand forecasting models using Scikit-learn and XGBoost, reducing server costs by 18%. Designed anomaly detection algorithms for SaaS monitoring systems, cutting downtime incidents by 35%. Created RESTful and GraphQL APIs to integrate ML models with client systems. Collaborated on big data pipelines with Apache Spark and Airflow, improving data throughput by 40%. Introduced cloud cost optimization strategies using AWS Lambda and Azure Data Factory, saving 15% operational expenses.
AI Engineer at GreenBay P&DT Limited
August 1, 2022 - August 20, 2025Developed computer vision models for product quality inspection, reducing defect detection time by 35%. Deployed predictive maintenance ML pipelines for industrial IoT systems, lowering machine downtime by 18%. Built data ingestion and preprocessing pipelines on Apache Spark handling millions of sensor readings daily. Deployed AI models in Azure ML and Dockerized microservices ensuring scalability and reliability. Partnered on real-time anomaly detection systems enhancing operational safety and efficiency.
Data Scientist at Room-Res
September 1, 2019 - August 20, 2025Developed recommendation algorithms for hotel booking personalization increasing customer retention by 20%. Implemented price prediction models using regression and time-series forecasting improving pricing accuracy by 25%. Built dashboards with Tableau and Power BI to visualize ML insights for non-technical stakeholders. Enhanced data preprocessing pipelines ensuring higher model accuracy and reliable predictions. Collaborated with cross-functional teams to integrate ML into SaaS travel solutions driving customer satisfaction and business growth.
Data Analyst at Walmart
May 1, 2017 - August 20, 2025Supported data analytics projects preparing and cleaning large sales datasets with SQL and Excel. Built basic predictive models to forecast inventory demand reducing overstock by 10%. Assisted in designing BI dashboards with Tableau for store-level performance. Collaborated with senior data engineers to automate weekly reporting pipelines reducing manual effort by 30%. Gained hands-on exposure to data-driven decision making sparking a transition toward AI/ML career development.
Education
Bachelor’s degree at California State University, Northridge
August 1, 2012 - May 1, 2016Qualifications
Industry Experience
Travel & Hospitality, Financial Services, Software & Internet, Manufacturing, Transportation & Logistics
Skills
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