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I'm a results-driven AI/ML engineer with a decade of experience designing and deploying intelligent, cloud-native solutions across computer vision, NLP, and real-time data systems. I integrate AI models into full-stack applications using Python, FastAPI, and React, across AWS, Azure, and GCP. I excel at building scalable microservices, streaming architectures, and MLOps pipelines to deliver high-performance systems. I love collaborating with cross-functional teams, writing clean code, and automating deployment and monitoring to deliver measurable impact.…I'm a results-driven AI/ML engineer with a decade of experience designing and deploying intelligent, cloud-native solutions across computer vision, NLP, and real-time data systems. I integrate AI models into full-stack applications using Python, FastAPI, and React, across AWS, Azure, and GCP. I excel at building scalable microservices, streaming architectures, and MLOps pipelines to deliver high-performance systems. I love collaborating with cross-functional teams, writing clean code, and automating deployment and monitoring to deliver measurable impact.

Ian Frank Doherty

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm a results-driven AI/ML engineer with a decade of experience designing and deploying intelligent, cloud-native solutions across computer vision, NLP, and real-time data systems. I integrate AI models into full-stack applications using Python, FastAPI, and React, across AWS, Azure, and GCP. I excel at building scalable microservices, streaming architectures, and MLOps pipelines to deliver high-performance systems. I love collaborating with cross-functional teams, writing clean code, and automating deployment and monitoring to deliver measurable impact.…I'm a results-driven AI/ML engineer with a decade of experience designing and deploying intelligent, cloud-native solutions across computer vision, NLP, and real-time data systems. I integrate AI models into full-stack applications using Python, FastAPI, and React, across AWS, Azure, and GCP. I excel at building scalable microservices, streaming architectures, and MLOps pipelines to deliver high-performance systems. I love collaborating with cross-functional teams, writing clean code, and automating deployment and monitoring to deliver measurable impact.

Available to hire

I’m a results-driven AI/ML engineer with a decade of experience designing and deploying intelligent, cloud-native solutions across computer vision, NLP, and real-time data systems. I integrate AI models into full-stack applications using Python, FastAPI, and React, across AWS, Azure, and GCP.

I excel at building scalable microservices, streaming architectures, and MLOps pipelines to deliver high-performance systems. I love collaborating with cross-functional teams, writing clean code, and automating deployment and monitoring to deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior AI/ML Engineer at Eric.ai

January 1, 2023 - Present

Architected and implemented a real-time AI-driven body scanning platform, integrating TensorFlow 2.15, OpenCV 4.9, and PyTorch 2.2 models into a FastAPI backend with PostgreSQL 15 for metadata storage. Built an LLM-based customer support chatbot using LangChain, Hugging Face Transformers, and FAISS to optimize retrieval-augmented generation (RAG). Designed microservices using FastAPI and Django, deployed on AWS Lambda and Kubernetes with auto-scaling. Implemented a real-time streaming pipeline with RabbitMQ, Redis, and WebSockets for instant body measurement visualization on a React dashboard. Deployed models via TensorFlow Serving and TorchServe with ONNX acceleration. Integrated GraphQL (Ariadne) for analytics and Azure Cognitive Services for biometric verification and natural language interaction. Deployed across AKS, and built CI/CD pipelines with Azure DevOps. Leveraged Azure Machine Learning for model training/deployment and used Azure Blob Storage with RBAC for data lake storage

AI/ML Engineer at HCLTech

March 1, 2018 - December 1, 2022

Led the monolith-to-microservices migration, breaking legacy Django 2.2 backend into FastAPI microservices with gRPC communication and RabbitMQ-based event-driven workflows. Implemented Redis caching with PostgreSQL for session storage, built REST APIs with OpenAPI 3.1, and enforced OAuth2.1 and RBAC. Developed an event-driven fraud detection pipeline using Scikit-learn anomaly detection models, deployed as async Celery workers integrated with Kafka. Built a Next.js frontend portal for sellers with live WebSockets, and implemented CI/CD with GitHub Actions and ArgoCD, deploying to AWS Fargate with auto-scaling. Migrated analytics and model storage to Azure Blob Storage and implemented serverless components with Azure Functions. Coordinated CI/CD across AWS and Azure with Azure Pipelines for multi-cloud environments.

Python Engineer (AI/ML) at Leobit

August 1, 2015 - February 1, 2018

Developed Siamese networks for flavor similarity detection using PyTorch and TensorFlow; deployed inference with ONNX. Architected scalable Django API gateway with GraphQL to expose AI model predictions; built ETL pipelines with Apache Airflow to process sensorial datasets from MongoDB to Google BigQuery. Implemented MLflow for model versioning, stored assets in Google Cloud Storage. Built asynchronous task processing with Celery and Redis, delivering improved throughput for sensor data; Created real-time WebSockets with Django Channels; Designed Power BI dashboards for BI automation; Implemented automated CI/CD pipelines with Jenkins and Docker Compose for multi-tenant deployments.