Rosenblatt AI

Our team of US talent is ready to advise on, architect, and implement your next AI model. We are machine learning scientists and engineers from top AI universities (UW, GaTech, Harvard, etc.) and Fortune 100 (Nvidia, Travelers Insurance, Home Depot, etc.) and look forward to bringing our skills to your next project without the cost of salary, equity, and benefits. We specialize in building custom models end to end in a variety of domains for startups and enterprise alike. 🏆 Accomplishments 2024 Upwork Agency Top Rated Plus in Our First 90 Days 2023 Techstars Accelerator Alumni (1% acceptance rate) 2022 AWS Impact Accelerator Alumni & CTO-Fellowship (0.1% acceptance rate) 2021 GSU Outstanding Undergraduate Researcher (One student selected annually) 💻 Experience Graduating amidst the challenges of COVID, I've since spent my entire career working remotely. Through over 2.5 years of experience as a machine learning engineer at two multi-billion-dollar corporations, and an additional 2 years as a data engineer working at petabyte-scale, I have earned the experience needed to build your model to scale. Here are some of the projects I have worked on: 🗒️ LLM Topic Modeling: Extracting Political Candidate Profile Info at Branch Politics 📉 Product Sales Anomaly Detection for CPG Companies at Salient ♻️ Contrastive Learning: Fine Tuning Vision-Text Foundation Models to Answer "Is This Recyclable?" 📣 Market Mix Modeling: Guiding Media Spend through Casual Models at Expedia 🏠 XGBoost: Ranking Community Relevance at A Place For Mom 🔎 Spark EDA: Analyzing Big Data for Retirement Communities at A Place For Mom 📍HDBSCAN: Segmenting Urban 🌃 vs Rural 🚜 Community Geoclusters at A Place For Mom 🧾 Doc2Vec: Measuring Customer Receipt Similarity using NLP at Home Depot 📱 Bidirectional LSTMs: Detecting Anomalies in Device Geo-tracking 🛰 Neural Architecture Search: Using AI Models to Classify Satellites Obscured by Atmospheric Distortion 🧫 Microscope Image Classification: Using AI to Identify Deadly Bacteria Strains 🚗 Visible Light Communication: Augmenting Road Safety Information Using Visual Perception