10/24/2025 updated
100 % available
AI/ML Engineer & Machine Learning Specialist
Angeles City, Philippines
Only remote
Bachelor of Science in Computer ScienceAbout me
ML Engineer with 4+ years of experience building, fine-tuning, and deploying AI systems using LLMs, NLP, and embeddings. Skilled in Python, TensorFlow, scikit-learn, Node.js, AWS, Docker, and LangChain, with a track record of delivering scalable, production-grade ML solutions.
JavaScriptA/B TestingApplication Programming Interfaces (APIs)Artificial IntelligenceApache AirflowAmazon Web ServicesAmazon S3Data AnalysisAutomationC++ (Programming Language)CalibrationCloud ComputingCode ReviewContinuous IntegrationData Cleansing
- Core — Python, TypeScript/JavaScript (Node.js), R, SQL, C++; clean, modular code; CI/CD.
- AI/ML — TensorFlow, PyTorch, scikit-learn, Pandas/SciPy; feature engineering; model selection and tuning; evaluation (ROC-AUC, precision/recall).
- LLMs & NLP — OpenAI/LLaMA/Gemini, embeddings, semantic search, prompt engineering, RAG, vector DBs (Pinecone, FAISS, Chroma).
- Time-Series & Predictive — LSTM/GRU/CNN, ARIMA, Prophet; forecasting, anomaly detection, calibration, A/B testing.
- MLOps — Docker, Kubernetes, GitHub Actions; experiment tracking; model packaging/serving; reproducible pipelines.
- Data Eng — ETL/ELT, data cleaning, Airflow; scalable batch/real-time pipelines.
- APIs & Services — FastAPI, Flask, Django/DRF, Node.js microservices; REST design, auth, observability.
- Cloud — AWS (Lambda, S3, containerized deployments); cost/perf optimization.
- Data stores — PostgreSQL, MySQL, MongoDB, S3; schema design and query optimization.
- Analytics & Viz — Tableau, Plotly, Matplotlib; automated reporting workflows.
- Practices — TDD, code reviews, documentation, mentoring; security and compliance mindset.
- Impact Highlights — Fraud detection latency ↓50%; campaign response ↑20%; retraining time ↓40%; loan approval accuracy ↑18%.
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
EnglishFluent
Project history
- Designed and deployed LLM-powered fraud detection and customer segmentation systems, reducing fraud detection latency by 50% and increasing campaign response rates by 20%.
- Implemented semantic search and embeddings for financial risk modeling using Pinecone and FAISS.
- Integrated ML models into Node.js + FastAPI microservices, enabling seamless use across distributed teams.
- Developed data pipelines with Apache Airflow, cutting retraining time by 40%, and containerized models with Docker for scalable deployments.
- Collaborated with DevOps to orchestrate deployments on Kubernetes, ensuring high availability and fault tolerance.
- Mentored junior engineers, reviewed code, and introduced best practices for prompt engineering and model evaluation.
- Built and deployed credit risk scoring models (XGBoost, logistic regression), improving loan approval accuracy by 18%.
- Conducted NLP-based fraud detection using transaction pattern analysis, reducing fraud-related losses by 15%.
- Automated reporting pipelines in Python and Tableau, improving efficiency by 40%.
- Developed time-series forecasting models (Prophet, ARIMA) to predict loan demand with <7% error.
- Ensured data security and compliance with BSP guidelines, applying MLOps practices for production deployment.
- Assisted in cleaning, preprocessing, and structuring financial datasets for machine learning applications.
- Prototyped an early-warning loan default detection system, supporting the transition to a production-grade risk scoring tool.
- Conducted exploratory data analysis (EDA) to identify correlations between repayment behaviors and customer demographics.
- Helped senior data scientists evaluate multiple ML models using metrics like ROC-AUC, precision, and recall.
- Documented data workflows, schema designs, and preprocessing scripts, improving knowledge transfer and onboarding.
- Automated ETL scripts for financial datasets, reducing manual data preparation by several hours weekly.
- Contributed to team sprint meetings and provided support for ad hoc analysis tasks requested by managers.
Certificates
Kaggle Certifications
Kaggle2025
PACUCOA Accreditation
Angeles University Foundation2021