I am a full stack AI developer and engineering leader specializing in deploying production-grade Generative AI agents, MLOps automation, and web platforms (Python, SQL, R, Spark, AWS). I bridge complex statistical algorithms with enterprise-grade software delivery.
My achievements include:
- Designing and building Mimir, a production Generative AI agent (utilizing LLMs, RAG, and tool calling) that automates global RFP reviews and accelerates solution design globally for Maersk Contract Logistics.
- Creating the SCA Toolbox, a containerized self-service Python web application (Akamai-hosted) that provides geocoding, Center of Gravity analysis, and Traveling Salesman optimization directly to country-level engineering teams.
- Structuring an AI-powered RFP knowledge base optimization pipeline using NLP deduplication and answer synthesis across 1,524 entries to improve response quality.
- Dropping machine learning application development cycles by 75% (from two months to two weeks) by implementing robust MLOps practices, modular statistical libraries, retraining scripts, and Dash GUIs.
- Developing an automated flu tracking software (NLP and predictive analytics) that alerts marketing and inventory teams in advance of seasonal flu outbreaks.
- Creating a deep learning seq2seq model for automated address cleansing to extract standardized components from unstructured inputs.
- Building a few-shot learning SKU-level demand prediction system to improve seasonal inventory planning.
- Reaching the national finals of the Trend Micro Big Data Programming competition by building a Natural Language Processing bot that summarizes text and identifies factual inconsistencies.
Reach out on LinkedIn or via Email to partner with me today.