Available to hire
Senior AI/ML Engineer with 10+ years designing, building, and shipping LLM-powered applications, RAG pipelines, and real-time ML services on both Azure and AWS. Hands-on with OpenAI, LangChain, Hugging Face, Pinecone, and MLOps. Proven track record in deploying fast, secure APIs, leading teams, and delivering AI systems that cut manual work and boost business results. Skilled in compliance (HIPAA, SOC2) and responsible AI, with strong backend (Python/FastAPI) and modern React/TypeScript front-end skills.
Skills
Experience Level
Work Experience
Senior AI/ML Engineer
October 1, 2020 - PresentDesigned and shipped LLM-powered applications using OpenAI API, GPT-4, and LangChain for clinical note summarization and financial analysis. Built RAG pipelines with Azure Cognitive Search, Pinecone, and LangChain for real-time knowledge retrieval over 20M+ documents. Served low-latency inference APIs with FastAPI on Azure AKS and AWS EKS. Fine-tuned LLMs (QLoRA, PEFT) for domain-specific tasks; improved healthcare QA accuracy by 18%. Implemented guardrails to block PII leaks and prompt injection; rolled out AI features safely with LaunchDarkly. Managed vector search with Pinecone and Weaviate; created real-time dashboards (React + TypeScript) for risk and fraud alerts. Orchestrated streaming pipelines with Kafka (AWS MSK) and Azure Event Hubs. Versioned prompts, retrieval contexts, and model outputs for auditability. Secured APIs with OAuth2, JWT, Entra ID, and Cognito; enforced RBAC and PHI-safe data flows. Mentored 4+ junior engineers; collaborated with clinicians and product teams;
Senior Software Engineer at Codi
August 1, 2017 - October 1, 2020Integrated OpenAI GPT-3 and Hugging Face for semantic search and smart document routing in compliance workflows. Built KYC/AML pipelines extracting entities from 10,000+ forms/month. Deployed ML microservices to AWS Lambda and Azure Functions; predictions <150ms at scale. Managed vector embeddings in Pinecone, Weaviate, and Azure Cognitive Search; used MLflow and Azure ML for model tracking, drift detection, and audit trails. Automated synthetic data generation using Faker. Built React dashboards for review of flagged transactions; implemented output moderation and robust logging with Guardrails. Orchestrated ETL/streaming with Kafka, Celery, and Azure Data Factory. Secured endpoints via API Gateway and Azure API Management. Led code reviews; mentored 3 junior engineers. Enforced CI/CD with drift and schema checks. Partnered with compliance leads to meet HIPAA/SOC2 and keep model outputs reviewable. Enhanced UI with AI-driven typeahead and form autofill in React.
Software Engineer at Dear World
May 1, 2015 - August 1, 2017Developed lightweight Flask APIs to serve predictions from scikit-learn models for real-time public health trends and media sentiment analysis. Built scalable web scrapers to aggregate provider directories, clinical trial registries, and broadcast schedules. Implemented asynchronous data pipelines with Celery and RabbitMQ. Stored serialized model artifacts in Azure Blob Storage with versioning for reproducibility. Created comprehensive PyTest suites; integrated SQLAlchemy ORM with pandas for rapid feature extraction. Built React dashboards for admin review of AI-generated alerts; prototyped TF-IDF based content recommendations. Secured outputs with time-bound Azure Blob signed URLs; monitored API health with Application Insights. Refactored legacy PHP monolith into modular Python services; authored Swagger OpenAPI docs. Prototyped rule-based NLP extractors; collaborated with data analysts on preprocessing patterns; mentored interns.
Full Stack Developer at StrikeTec
June 1, 2012 - May 1, 2015Built interactive data visualization dashboards using D3.js and Chart.js to display trends from regression-based predictive models. Prototyped customer segmentation using early ML SaaS APIs. Deployed Python Django applications on AWS EC2 and Azure Websites. Implemented CI/CD with Jenkins for data processing pipelines. Developed housing value models using scikit-learn and pandas. Secured third-party API integrations with OAuth 2.0 and encrypted storage. Built dynamic UIs with jQuery and early React; contributed to relational database design and indexing. Implemented SSL, backups, and basic load balancing on cloud platforms. Collaborated in Agile teams with Git and Jira; created reusable frontend components. Documented architecture and troubleshooting steps; mentored interns.
Education
Bachelor’s Degree in Computer Science at Drexel University
June 1, 2008 - June 1, 2012Qualifications
Industry Experience
Software & Internet, Healthcare, Professional Services, Media & Entertainment, Life Sciences
Skills
Experience Level
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