Luciana Cendon
About me
I’m Luciana, a dedicated AI & Machine Learning Specialist with over 8 years of experience in machine learning, computer vision, and data science. I hold two master’s degrees—one in Electrical Engineering from Caltech and another from leading European institutions—which have given me a strong academic foundation that supports my work in advanced AI and technology.
Over the years, I’ve contributed to impactful projects, from building real-time computer vision pipelines for robotics applications at Quiet Machines to working on anomaly detection systems at NASA’s Jet Propulsion Laboratory. These experiences have honed my expertise in computer vision, data analysis, and machine learning pipelines, while deepening my understanding of data-driven problem-solving.
I am currently expanding my expertise in scalable system design, including cloud-based architectures, backend development, and API integration, to create robust and reliable AI-driven platforms. As part of my work, I am designing and developing a stealth SaaS platform that leverages advanced AI techniques, such as large language models (LLMs), natural language processing (NLP), and computer vision, to address complex matching problems. This involves end-to-end system development, including scalable architectures, machine learning pipelines, and algorithm design.
When I’m not immersed in tech projects, I enjoy honing my musical skills on the electric guitar 🎸 and staying active through exercise and hiking. I’m also a coffee enthusiast with a passion for crafting the perfect espresso ☕. Most importantly, I’m a proud mom to an amazing daughter, and we love traveling 🌍 together and discovering new places.
Resume
Download Full ResumeEducation
California Institute of Technology (Caltech)
Master of Science in Electrical Engineering
Pasadena, CA - June, 2016
École Polytechnique Fédérale de Lausanne (EPFL)
Grenoble Institute of Technology (Grenoble INP)
Politecnico di Torino
Master in Micro and Nanotechnologies for Integrated Systems
Conjoint degree from three universities
Lausanne, Switzerland • Grenoble, France • Turin, Italy - March, 2014
Politecnico di Torino
Bachelor in Electronics Engineering
Turin, Italy - March, 2012
Professional Experience (Recent)
Senior Computer Vision/Robotics Engineer
Quiet Machines, LLC
Nov 2022 - May 2024 | Pasadena, CA
I was the sole computer vision engineer responsible for designing and implementing the entire computer vision pipeline. My focus was on object detection and tracking within video contexts, particularly isolating runners in complex, noisy environments. I developed and trained models for image segmentation and scene understanding, managing data curation and annotation to improve detection accuracy. Additionally, I optimized and integrated these models into the prototype system for high-performance inference and conducted field tests to enhance system performance. I also developed and integrated the frontend with the backend, ensuring seamless communication and real-time data synchronization via WebSockets.
Data Scientist & Software Engineer
Jet Propulsion Laboratory
Nov 2019 - Nov 2022 | Pasadena, CA
At JPL, I contributed to multiple projects, including building machine learning pipelines and developing data analysis systems. I supported NASA’s ARIA Project by designing anomaly detection methods using spatio-temporal time series data to predict volcanic activity. For NASA's Ocean Worlds Life Surveyor (OWLS) Project, I created high-performance simulation tools for generating synthetic holographic images and developed algorithms for automated peak detection in noisy spectrometer data. I've also built automated dashboards in Power BI to visualize resource utilization, supporting data-driven decisions.
Professional Experience
Research Engineer
California Institute of Technology
Jan 2019 - Oct 2019 | Pasadena, CA
I spent 9 months working at Pietro Perona's lab, where I developed, trained, and deployed detection and pose estimation models using AWS SageMaker. These models were used as part of a system for automated behavior analysis in lab animals, facilitating scalable cloud-based processing for pose estimation and detection. During this time I also designed a system for automated video editing using imitation learning. This project is available in the projects section.
Research Engineer
Oben Artificial Intelligence
Dec 2017 – Jan 2019 | Pasadena, CA
At Oben, I developed advanced software solutions for personal avatar animation, including implementing gaze tracking using C++ and ensemble regression trees. I also worked on extracting lighting information from facial textures using augmented spherical harmonics, as well as developing an active appearance model for automated lip synchronization. Additionally, I designed a general-purpose chat system adaptable to new personalities and delivered Q&A chat software, which served as the foundation for the company's mobile health initiative.
Research Engineer
HRL Laboratories
Oct 2016 – Nov 2017 | Pasadena, CA
At HRL, I worked on several projects including predictive modeling for well optimization, leveraging data analysis to improve efficiency. I also contributed to the development of reinforcement learning algorithms for autonomous airplane flight and worked on low-power image recognition systems.
Research Engineer
California Institute of Technology
June 2016 – Sept 2016 | Pasadena, CA
During my time at Caltech, I conducted data mining for mouse behavior analysis in time-series data, utilizing Markov chains to model and analyze complex behavior patterns. This work helped identify important behavioral trends, contributing to ongoing research efforts in neuroscience.
Entrepreneurship
Marvus is a company focused on providing custom AI solutions and consulting services
to small and medium-sized businesses (SMBs) and startups. Marvus specializes in designing scalable
AI-driven
systems tailored to solve real-world challenges. By bridging the gap between
cutting-edge AI research
and practical applications, Marvus empowers organizations to innovate and thrive in an increasingly
data-driven world.
As the founder and lead AI specialist at Marvus, I am personally involved in every
project, ensuring each solution is uniquely crafted to address our clients' specific needs.
Learn
more
at
marvus.ai.
Cicci is a stealth SaaS platform focused on innovation in the dating space. While details remain confidential, Cicci leverages advanced AI technologies, including machine learning and natural language processing, to address complex matching problems. Currently under development, Cicci represents my commitment to pushing boundaries and exploring how AI can help create meaningful connections in new ways.
Services
Leveraging extensive experience in machine learning, computer vision, and software development, I deliver tailored solutions through Marvus, my AI consulting firm. With a background spanning academia, startups, and large organizations, I offer a broad range of expertise to help businesses harness AI, streamline operations, and develop custom, scalable software solutions to meet their unique needs.
AI, Machine Learning & Computer Vision Consulting
I provide expert consultation to help businesses harness the power of AI, machine learning, and/or computer vision to solve complex problems. Whether you’re improving operational efficiency, enhancing customer experiences, or exploring how AI can give your small business a competitive edge, I collaborate with you to design practical and tailored solutions. I offer guidance in everything from defining clear strategies to implementing scalable systems that fit your business needs. My approach ensures your AI initiatives align with your goals and deliver measurable value, whether you're a growing startup or a small business looking to innovate.
Data Science & Custom Dataset Creation
I offer comprehensive data science services, including data analysis, processing, and visualization to uncover actionable insights. I also specialize in custom dataset creation for AI models, helping clients collect, clean, and annotate high-quality data tailored to their specific needs. From exploratory data analysis to building full data pipelines, my services are ideal for clients looking to make informed decisions backed by robust data, or businesses needing custom datasets for machine learning models.
ML Ops Pipeline Development
I build and automate MLOps pipelines that streamline the machine learning lifecycle—from data ingestion and model training to deployment and monitoring. This ensures your AI solutions are scalable, reproducible, and seamlessly integrated into your business environment. I set up efficient pipelines that allow for seamless updates and automated model retraining, ensuring continuous performance. This service is ideal for businesses needing scalable AI solutions without dedicating full-time staff to maintaining models.
Custom Machine Learning & Computer Vision Software Development
I develop custom AI, machine learning software and computer vision tailored to meet the unique needs of your business. Whether you're looking to build a specialized tool for object detection, image processing, or predictive analytics, I can create solutions that are robust, efficient, and scalable. My experience in both frontend and backend integration allows me to develop user-friendly software that seamlessly integrates into your existing workflows, making it accessible even to non-technical teams.
Backend Integration & API Development
I specialize in integrating AI models into existing business infrastructure through backend development and creating robust APIs that allow easy access to your models for real-time decision-making. Whether you're deploying AI to a cloud service like AWS or need to integrate your machine learning models into a web-based application, I ensure that the deployment is smooth, scalable, and optimized for performance. This service is particularly valuable for businesses that want to incorporate AI into their products or services without building in-house AI expertise.
Model Deployment, Monitoring, and Maintenance
I ensure that your machine learning models not only get deployed successfully but also perform optimally over time. From initial deployment to ongoing monitoring, I track model performance to ensure accuracy and take corrective actions, such as automated retraining when necessary. This service includes regular maintenance to ensure that your models are up to date and responsive to new data. This is ideal for businesses needing long-term AI solutions but without the overhead of a dedicated internal team to manage the models post-deployment.
Frequently Asked Questions
1. What services do you offer?
I provide a range of services, including: AI & Machine Learning Consulting, Data Science & Custom Dataset Creation, MLOps Pipeline Development, Custom Machine Learning Software Development, Backend Integration & API Development, and Model Deployment, Monitoring, and Maintenance. For more detailed descriptions of each service, please visit the Services page.
2. How do you charge for your services?
I offer both hourly rates and project-based pricing, depending on the nature of the work and client preferences. My hourly rates range from $80 to $250, based on the complexity and type of service. For long-term projects, I offer custom pricing packages to ensure clients get the best value. If you're unsure which pricing model works best for your needs, feel free to contact me, and I’d be happy to provide an estimate.
3. How long does a typical project take?
The duration of a project depends on its complexity and scope. A simple model deployment or dataset creation might take a few weeks, while a full AI solution or custom MLOps pipeline can take several months. However, machine learning projects can be iterative as we refine models based on feedback and additional data. I maintain regular communication with clients to ensure realistic timelines are set and adjusted as needed. For ongoing support, I also offer retainer agreements.
4. How do you set timelines for machine learning projects?
Setting timelines for machine learning projects depends on several factors, including data availability, model complexity, and the specific goals of the project. Typically, I provide an initial estimate based on the scope of work and refine the timeline as the project progresses. Machine learning is a process of discovery, and as we gather more data and test different models, the timeline may adjust accordingly. I maintain regular communication with clients throughout the project to manage expectations and ensure that deadlines are realistic and aligned with the project’s progress.
5. Do you work on a retainer basis?
Yes, I offer retainer services for clients who need ongoing support, such as model monitoring, maintenance, and occasional retraining. I typically limit retainer work to 10–20 hours per month to manage multiple client commitments and ensure high-quality service. If you need regular assistance without a full-time commitment, my retainer packages provide the right amount of support to keep your systems running smoothly.
6. What’s your process for starting a new project?
We’ll begin with an initial consultation to discuss your project goals, needs, and challenges. Based on our discussion, I’ll provide a detailed project proposal, including the scope of work, estimated timeline, and cost. Once the proposal is approved, I’ll start the work and keep you updated regularly with progress reports. Upon completion, I’ll ensure the solution works as expected and provide any necessary follow-up support.
7. Do you offer free consultations?
Yes, I offer a free 30-minute consultation to help potential clients understand the scope of their project and discuss how I can assist. Feel free to Contact Me to schedule your consultation.
8. How do you ensure the quality of your work?
I focus on delivering high-quality, scalable solutions by thoroughly testing all models and software before delivery. This includes cross-validation, performance benchmarking, and scenario-based testing. After delivery, I offer post-project maintenance to address any immediate tweaks or issues. For ongoing model monitoring and maintenance, clients can choose one of my retainer packages to ensure their models continue performing optimally as data evolves and new challenges arise.
9. What if I need changes after the project is completed?
After completing a project, I understand that you may need additional adjustments or modifications. For small tweaks or corrections that are within the original project scope, I provide post-project support at no additional cost. However, for significant modifications or new requirements that fall outside the initial agreement, I will provide a new proposal and pricing for the additional work. This ensures that both parties are clear on the scope and expectations.
10. Do you sign non-disclosure agreements (NDAs)?
Yes, I am happy to sign an NDA if required. I understand the importance of confidentiality and always take care to protect your intellectual property and sensitive business information.
11. What industries do you specialize in?
My experience with Machine Learning spans across a broad range of fields and applications. My flexibility allows me to adapt quickly to new challenges, making me eager to explore different industries and solve unique problems. I’ve tackled diverse projects, and I’m always looking to expand my expertise into new areas. Whatever the industry, I bring a strong foundation in AI, data science, and machine learning, ready to help businesses innovate and grow.
Contact
Let's Collaborate!
Have a project in mind or need help with AI, machine learning, or custom software solutions? Fill out the form below, and I’ll get back to you as soon as possible. I look forward to discussing how we can bring your ideas to life!