Freelancer Overview
Hi there! š I'm a seasoned šš š
š®š„š„-ššššš¤ šš§š š¢š§ššš« from the Philippines with 10+ š²ššš«š¬ šØš š«š¢šš” šš±š©šš«š¢šš§šš designing and deploying intelligent, production-ready systems across the full AI lifecycle ā from data ingestion to model deployment to cloud-scale MLOps orchestration.
š¤ ššš§šš«ššš¢šÆš šš ā Proficient in building and fine-tuning large language models (LLMs) using OpenAI GPT-4/3.5, Claude, LLaMA, Mistral, Falcon, and Gemini. Skilled in prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (Pinecone, Weaviate, Chroma), LangChain, LlamaIndex, and agentic AI pipelines. Deep experience with RLHF (Reinforcement Learning from Human Feedback), instruction fine-tuning, LoRA, QLoRA, and PEFT. Deliverables include AI chatbots, intelligent document processing, code generation tools, and multimodal applications.
š§ šššš”š¢š§š šššš«š§š¢š§š ā Strong foundation in supervised, unsupervised, and reinforcement learning using Python, TensorFlow, PyTorch, Scikit-learn, Keras, and Hugging Face Transformers. Expertise in NLP (BERT, T5, GPT, spaCy, NLTK), Computer Vision (YOLO, OpenCV, CNNs), time-series forecasting, recommendation systems, and anomaly detection. Adept in feature engineering, hyperparameter tuning, cross-validation, and model explainability (SHAP, LIME).
āļø šššš©š¬ ā End-to-end ML pipeline automation using MLflow, Kubeflow, Apache Airflow, and DVC. Proficient in containerization (Docker, Kubernetes), CI/CD pipelines (GitHub Actions, GitLab CI), and cloud deployment on AWS SageMaker, Azure ML, and Google Vertex AI. Experience with experiment tracking, model versioning, A/B testing, data drift monitoring (Evidently AI, Seldon), and scalable feature stores.
On the š
š®š„š„-ššššš¤ šš§š š¢š§ššš«š¢š§š side, I build robust backends with š
šš¬šššš, šš£šš§š šØ, ššØšš.š£š¬, šš§š š
š„šš¬š¤, and modern frontends using ššššš.š£š¬, ššš±š.š£š¬, šš§š šš®š.š£š¬. I'm equally confident with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, Elasticsearch) databases, plus real-time data pipelines via Apache Kafka and Spark.
Industry experience spans š
š¢š§šššš”, šššš„šš”ššš«š šš, š-ššØš¦š¦šš«šš, ššš„šššØš¦, ššØš š¢š¬šš¢šš¬, and šššššš” ā delivering systems that are accurate, scalable, and business-impact-driven.
I thrive both in collaborative team environments and as an independent contributor.
Let's build the future of AI together! š
