Portfolio

Selected AI engineering projects spanning Generative AI, machine learning, NLP, healthcare AI, and intelligent systems.

Production AI Agents & Reasoning Systems

Designed and implemented AI agent and reasoning pipelines for a sports intelligence platform, combining LLMs, RAG, tool orchestration, vector search, streaming APIs, and production observability.

LLMs LangGraph RAG Python GCP BigQuery Langfuse

Professional Experience

NLP Sentiment Analysis with BERT

Built a Transformer-based NLP pipeline using BERT to analyze large volumes of noisy and unstructured user feedback, addressing slang, spelling errors, class imbalance, sentiment classification, and entity extraction.

Python BERT PyTorch Hugging Face NLP NER FastAPI Docker

AI Engineer — Contract Project

3D Medical Imaging with LIDC

3D Medical Imaging with LIDC

Developed preprocessing and training pipelines for 3D lung cancer classification using DICOM scans, MONAI, and PyTorch. The project achieved 87.5% accuracy and an AUC of 0.91, with Grad-CAM used for model interpretability.

PyTorch MONAI 3D CNN DICOM Grad-CAM Healthcare AI
Github
Audio AI Sound Recognition

Audio AI — Environmental Sound Recognition

Compared multiple deep learning architectures for environmental sound classification and evaluated deployment constraints for edge inference, ultimately using YAMNet embeddings for a TensorFlow Lite-compatible solution.

Python TensorFlow YAMNet Audio AI TFLite Edge AI
Github
Breast Cancer AI Model

Breast Cancer Classification

Developed deep learning models including DenseNet, EfficientNet, and VGG16 for breast cancer image classification, with Grad-CAM heatmaps used to improve model interpretability.

Python Keras TensorFlow CNN Grad-CAM Healthcare AI

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Github
Market Analysis Agent

Market Analysis Agent

Built a multi-agent system for e-commerce analysis using LLMs, sentiment analysis, data collection, trend detection, and LangChain-based orchestration.

Python LangChain LLMs AI Agents Data Pipeline
Github