Hire the Best Computer Vision Engineers
in the United States

Hi - I'm an ex-Deloitte Applied AI and Strategy senior consultant; expertise in designing, developing, and deploying AI systems and data platforms. I've worked with clients ranging from Fortune 100 to SMBs. I built and launched a VC-backed AI / computer-vision startup and currently an Adjunct Professor of Machine Learning and Computer Vision at UNC Charlotte. Technical Expertise: python, pytorch, opencv, langchain / langgraph, scikitlearn, numpy, pandas, react, react-native, nextjs, django, fastapi, sql / nosql, aws

I am a senior machine learning engineer at an AI real estate startup. I have had the pleasure of working in the machine learning space all 8 years of my professional career. I am passionate about building solutions that provide tangible value to the end customer. I began my AI career as a researcher at MIT Lincoln Laboratory. While at MIT LL, I worked on projects revolving around computer vision, NLP, and graph analytics. After MIT LL, I joined Avitas, GE venture as a computer vision engineer. Avitas flew drones around well pads and captured IR/RGB video and LiDAR data. My role was to develop solutions, mainly deep learning, to input the video/lidar data and facilitate inspection of the well pads. Baker Hughes bought Avitas. Shortly after, I joined FoxyAI as their first full time hire. Currently at FoxyAI, I oversee all AI development. Programming: Python, JavaScript/HTML/CSS, Java, Matlab Machine Learning: PyTorch, TensorFlow, Keras, Scikit-learn, Caffe Computer Vision: OpenCV, Pillow, Image Generation (CLIP, DALLE, Dreambooth), YOLO, Mask-RCNN, LiDAR, 3D Reconstruction, SWIN-Transformer, OCR, UNET Data Science: Numpy, Pandas, Scipy, Matplotlib, Seaborn Misc: various AWS tools, Docker, MongoDB, FastAPI, Django, Flask, Git, Jira, UNIX tools/admin

PROFESSIONAL SUMMARY AI Engineer with 8+ years of expertise in production-scale ML systems, specializing in GenAI Applications, Large Language Models (LLMs), Computer Vision, NLP, Statistical Analysis, Machine learning and multimodal architectures. Adept in enterprise data annotation/data labelling and LLM response ratings, evaluations, justifications, rewriting for coding and mathematical problems/reasoning.

I am an AI engineer who is dedicated to creating real-business value with AI. Whether you need assistance with building predictive models, natural language processing applications, computer vision systems, or deploying AI solutions in production, I've got you covered. I thrive on challenges and am dedicated to delivering high-quality, scalable AI solutions tailored to your specific needs. 📌 Core Skills 📌 - Computer Vision: Image / Object Recognition, Image Analysis, OpenCV, Facial Recognition, Text Recognition - Machine Learning: Classification, Regression, Deep Learning, Model Tuning - Programming Skills: Python, C++, PyTorch, OpenCV, TensorFlow

🔥 𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜/𝗠𝗟 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 | 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 | 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 🔥 A highly accomplished and results-driven AI/ML Architect with over 10 years of experience, specializing in architecting and deploying advanced AI/ML solutions for enterprise clients across diverse industries including airline, automotive, marketing analytics, political outreach, and fact-checking for publishers. My background spans the entire AI/ML lifecycle, from strategic solution design to hands-on implementation and operationalization of scalable, real-world systems. I'm currently leading the team at AI Arch Solutions to excel at translating complex business challenges into innovative, AI-driven solutions that deliver measurable ROI. 💪 𝐂𝐎𝐑𝐄 𝐂𝐎𝐌𝐏𝐄𝐓𝐄𝐍𝐂𝐈𝐄𝐒 💪 𝘼𝒈𝙚𝒏𝙩𝒊𝙘 𝘼𝑰 & 𝑨𝙪𝒕𝙤𝒏𝙤𝒎𝙤𝒖𝙨 𝙎𝒚𝙨𝒕𝙚𝒎𝙨 ● 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀: ReAct (Reasoning and Acting), RAG (Retrieval-Augmented Generation), Multi-Agent Systems (MAS), Hierarchical Agent Architectures (e.g., Manager-Worker) ● 𝗖𝗼𝗿𝗲 𝗔𝗴𝗲𝗻𝘁 𝗔𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: Tool Use & Function Calling, Complex Task Decomposition, Dynamic Planning & Reasoning, Self-Correction & Reflection Loops (e.g., Reflexion) ● 𝗠𝗲𝗺𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Designing and implementing agent memory systems, including short-term (context window), long-term (vector databases), and structured memory approaches ● 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Advanced prompt chaining, state tracking across multi-turn interactions, and managing conversational context for complex tasks 𝑫𝙖𝒕𝙖 𝙎𝒄𝙞𝒆𝙣𝒄𝙚 & 𝘿𝒂𝙩𝒂 𝑬𝙣𝒈𝙞𝒏𝙚𝒆𝙧𝒊𝙣𝒈 ● 𝗠𝗼𝗱𝗲𝗹 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: Data cleaning, data imputation, feature engineering, feature space reduction (PCA) ● 𝗠𝗼𝗱𝗲𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: LLMs, Neural Networks, NLP (BERT, ELMO, GPT Variants), K-Means / Hierarchical Clustering, Logistic Regression, Random Forest (XGBoost), K-Nearest Neighbor, Naïve Bayes, GridSearch, Causal Inference, Bayesian Marketing Mix Modeling ● 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Tableau, Seaborn, Matplotlib, Plotly, Dash ● 𝗖𝗼𝗱𝗶𝗻𝗴: Python (NumPy, pandas, scikit-learn, TensorFlow, Keras, NLTK, LangChain, Streamlit), SQL, Java, R ● 𝗗𝗮𝘁𝗮 𝗧𝗼𝗼𝗹𝘀: Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Lambda, S3), Databricks, Airflow (DAGs), Pinecone, PostgreSQL ● 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Regression Discontinuity Design, Interrupted Time Series, A / B Testing

My husband and I are working as a team using our diverse skills to work on projects related to Computer Vision, Image Processing, Drone Software Development, Data Analysis and Augmented Reality. We also have experience in deploying AI/Computer Vision algorithms into Mobile (Native Platforms iOS & Android) and Web (Using Web Assembly & WebGL). We have a strong background in C++ and OpenCV. We have done many projects related to face detection and filters and deploy it into web.