Building intelligent agentic systems, deep learning models, and robust software architectures to deploy scalable AI in production.
PyTorch neural nets, computer vision models, and custom generative layers.
LangGraph state loops, ReAct agents, and semantic retrievers.
Scalable Python APIs, AWS microservices, and CI/CD workflow automation.
Machine Learning Engineer with strong software foundations, specializing in stateful agentic workflows, deep learning pipelines, and production backend integrations.
ML Engineer
University of Galway
Architected and built an intelligent Resume-JD matching system leveraging stateful agent loops and natural-language matching.
Developed and scaled enterprise-level conversational RAG models with automated data indexing pipelines.
Engineered a production-grade agentic RAG recommendation loop in Python, combining CLIP multimodal fusion in ChromaDB with LangChain ReAct tool-use and FastAPI serving.
Built a real-time driver assistance pipeline in PyTorch fusing Depth Anything V3 dense spatial maps with YOLO bounding boxes to generate collision proximity scores.
Developed a convolutional Variational Autoencoder (VAE) in PyTorch to model learned apparel feature distributions and generate high-fidelity synthetic garment images.
Python-based NLP application that parses and ranks candidates against Job Descriptions using semantic similarity indices.
Classical computer vision and image processing system to automatically detect occupied and vacant parking slots in real time.
Scalable full-stack application connecting Angular 19 SSR to a Python FastAPI backend deployed on local Minikube orchestrators.
Distributed system converting uploaded videos to high-fidelity audio streams utilizing asynchronous message queue brokers.
Ireland
India • GPA: 3.8 / 4.0
Awarded merit-based scholarship toward the Master's in Artificial Intelligence at the University of Galway.
Part of the winning team in the University of Galway IdeasLab Enterprise Challenge, awarded a €1,000 prize.
Covered Supervised Learning, Deep Networks, and Causal Inference with Amazon research scientists.
Write technical ML articles detailing structured LLM data returns, receiving 200+ likes.
Hosted hands-on OpenAI training and API deployment workshop for 50+ business and tech professionals.
Earned a \$1,000 winner's prize in the MBot Global Challenge for advanced embedded control programming.
Currently seeking Machine Learning Engineer and Software Engineering opportunities in Ireland.