Luca Lit

About

I graduated from Dartmouth College in 2021, with a B.A. in Computer Science and Mathematics. Currently working as a Applied AI + Data Engineer at Point72 Ventures!

Previously, I was an ML Infrastructure + DevOps (MLOps) engineer at Appian Corporation, building a high performance platform to train and deploy custom ML Models in a rapid and scalable manner.

I’m passionate about building impactful products that people genuinely love to use:

Heimgard AI: a security platform that scans MCP servers for tool poisoning, prompt-injection, schema drift, and unsafe behaviors.
StoryCloud: a social media app to record and share your life stories with family and friends.
Fryday: an AI-powered recipe sharing platform that enables chefs to instantly turn cooking videos into full recipes.

Relevant Coursework

Data Structure & Algorithms Full Stack Web Development Software Systems Design Natural Language Processing AR/VR Development Linear Algebra Machine Learning & Statistical Analysis Probability and Statistical Inference

Technical Skills

AWS Certified Developer ✅ Kubernetes CKAD ✅ Python Terraform YAML Linux HTML/CSS PostgreSQL C / C# (Unity) Git Docker Apache Airflow Apache Spark Apache Kafka Pydantic AI Langchain Vector DB (Weaviate) RAG Pipelines Model Context Protocol (MCP) Servers

Resume

Work Experience

AI + Data Engineer

July 2024 - Present

Point72 Ventures

Unlocking the Future of Investing with Data + Applied AI 🤖. Building data pipelines, agentic systems and full-stack applications to drive higher-confidence investment decisions at scale.

Software Engineer II, ML Infrastructure

September 2021 - June 2024

Appian Corporation

Software Engineer on the Machine Learning Infrastructure team. Building a scalable platform to train and deploy custom ML models, from document extraction, document classification, to custom entity extraction.
Side Project: End-to-end development of app features to digitize and automate the full lifecycle of DC Central Kitchen's grocery delivery management system (think Instacart!)

Data Science Intern

December 2020 - September 2020

Keystone Strategy, LLC

Pre-processed 170,000+ rows of customer data using numpy + pandas, and employed a pre-trained NLP model to outperform a formerly employed 3rd party software, increasing prediction accuracy from 89% to 98.6%
Trained proprietary ML model to predict precise repair solutions to defected home appliances using textual data (~ 800 lines of Python code). Increased company valuation by ~ 30%, to $XXX million, in preparation for M&A considerations.

Product Manager

March 2021 - June 2021

Digital Applied Learning & Innovation (DALI) Lab

Led a team of 6 at a startup-incubator to develop Anivision, an educational VR application simulating animal perception.
Spearheaded project roadmap, sprint planning, backlog grooming and user testing to develop core gameplay mechanics. Documentation here.

Product Manager, Software Engineer

December 2020 - June 2021

Impact Labs

Collaborated with 5 fellows to conduct UI/UX design and full-stack development of Axolotl, a web app (React, Node.js) servicing gamified educational curriculum for accessible web design, dedicated to increasing awareness for users with disabilities.

Data Science Intern

July 2020 - September 2020

Harmonize

Developed a logistic regression model to forecast customer churn using Python and SQL. Devised renewal strategies for the marketing team using customer segmentation analysis. Increased retention rate by ~20% in the subsequent year.
Automated a script using Selenium to scrape product reviews from review platforms, reporting 20+ bugs and defects.

Research

NLP Research Scientist

June 2020 - March 2021

Dartmouth Sustainable Health Lab

Research: Understanding Public Perception and Communication around Telehealth during the COVID-19 Pandemic.

Developed a data pipeline to scrape telehealth-related tweets and trained a linear support vector machine learning model to classify tweets based on user type and tweet intent. Applied sentiment analysis and hetero-functional graph theory to characterize healthcare provider and patient communication patterns in the Twitter social network. Thesis published and presented at the IEEE Smart Cities Conference 2020 and INFORMS Annual Scientific Conference.

AV Research Associate

July 2020 - September 2020

Dartmouth Robotics Lab

Research: Autonomous Vehicles Motion Planning

Devising an obstacle avoidance system for autonomous surface vehicles. Implemented 3D LIDAR point cloud clustering for object detection and classification, and an Extended Kalman Filter to estimate object positions based on motion models.

Robotics Research Associate

June 2019 - January 2020

Dartmouth Robotics Lab

Research: Collision-Resistant 3D Printable Drones

Developed a paired simulator and interactive controller for the aviation of soft-body drones with morphable geometry. Employed tetrahedral meshing, finite element method and linear quadratic regulator to optimize rotor thrusts.
Engineered a 3D-printed functional quadcopter model live demoed at the Dartmouth 3D-Printing Symposium in 2019.