Ford Lascari

Master of Science in Computer Science

Specialization in Computer Graphics

• Coursework: Deep Learning for Text, Game AI, Blockchains, Computer Animation, Shape Grammars.

Bachelor of Science in Computer Science

Specializations in Modeling/Simulation and Computer Intelligence

• Coursework: Deep Learning, Machine Learning, Computer Simulation, Numerical Analysis, Robotics.

Independent Applied AI Consultant

• Help businesses implement and improve large language model and agent systems.
• Lead agent development for voice-based logistics and adaptive customer research.

AI Engineer / Full Stack Engineer · Contract

• Built full stack applications powered by large language models.
• Developed TorqAgent, a custom no-code agent-building framework for Intellibridge.

Technical Project Manager / Lead AI Developer · Contract

• Led development teams building multi-agent systems across a range of use cases.
• Handled project scoping, technical delivery, sales, customer success, hiring, and training.

AI Engineer / Full Stack Engineer · Contract

• Built generative AI applications using the OpenAI Assistants API.
• Delivered the initial MVPs for ReadyRNs, an AI-assisted nursing education platform, and Agentive, a low-code agent builder.

Machine Learning Research Assistant

Electro Optical Systems Lab · Electronic Warfare Division

• Developed machine learning models and algorithms, including neural networks and genetic algorithms.
• Worked on aerial object detection, time series classification, and classification using particle filters.
• Analyzed simulation outputs and created visualizations and research presentations.

Lascari AI · Hey Bubba

Voice agents for owner-operator truck drivers.

• Led agent development and built outbound agents that called carriers to negotiate freight rates.
• Designed orchestration infrastructure for automated load booking, real-time load search, and internal operations.

Voice agentsLogisticsAgent orchestration

Lascari AI · Deep Need

Adaptive interviews for customer research.

• Built a conversational agent that adjusted interviews to participant responses, with support for hundreds of concurrent sessions.
• Used clustering to identify patterns in customer responses.

Conversational AICustomer researchClustering

Personal project

A real estate search tool built around better backyards.

• Scraped Trulia listings and images, then used vision models to identify backyard photos.
• Trained a ranking model on personal preferences to filter properties by outdoor space.

LLM visionWeb scrapingRanking models

Personal project

A tool for finding relevant conversations on Twitter/X.

• Collected tweets from curated lists and trained an engagement classifier on personal interaction history.
• Added image and video analysis for context, with Celery workers for asynchronous processing.

ClassificationMedia analysisCelery

Morningside AI

AI-assisted learning for nurses.

• Built the initial MVP with specialized assistants using the OpenAI Assistants API and support for uploaded learning materials.

OpenAI Assistants APIEducation

Morningside AI

A low-code platform for building autonomous agents.

• Built the initial MVP on the OpenAI Assistants API, designed to support thousands of users.

Agent buildersOpenAI Assistants API

Width AI · Intellibridge

A custom framework for building agents without code.

• Provided full stack development and connected models and APIs to tools agents could use to complete tasks.

Full stack developmentAgent tools

Personal project

Simulated polling with language models.

• Used Montana census and salary data to build a stratified dataset of personas, queried them with OpenAI GPT models, and compared the results with real polls.

Synthetic dataOpenAI GPTPolling

Web application

AI-generated children's picture books.

• Used GPT-4 for stories and image prompts, Stability and Replicate for image generation and manipulation, and Turn.js to display the books.

GPT-4Image generationTurn.js