Christopher Calderon
@christophercalderon1
Creative AI Software Engineer with 8 years of experience.
What I'm looking for
I am a Senior AI Software Engineer with over 8 years of experience in building impactful machine learning systems, particularly in the finance and healthcare sectors. My journey has led me to develop innovative solutions like fraud detection models and LLM-powered tools that empower users to make informed decisions. I thrive on combining deep technical expertise with a commitment to delivering scalable and reliable AI products that truly make a difference.
At Amazon, I developed 'Shoppot', an intelligent voice-powered shopping assistant that significantly enhanced order processing efficiency. My role involved integrating advanced speech recognition and natural language processing technologies, resulting in a remarkable 70% increase in order processing speed. Previously, at Freenome, I engineered a cancer detection system that achieved over 95% diagnostic accuracy, showcasing my ability to leverage AI for critical healthcare applications.
Throughout my career, I have embraced challenges and continuously sought opportunities for growth. I am passionate about using AI to tackle meaningful problems and am eager to contribute my skills to a forward-thinking organization that values innovation and collaboration.
Experience
Work history, roles, and key accomplishments
Senior AI Software Engineer
Amazon
Mar 2023 - Present (2 years 4 months)
Developed "Shoppot," an intelligent voice-powered shopping assistant that enabled customers to place orders 3x faster and completely hands-free, resulting in a 70% increase in order processing efficiency. Integrated speech recognition (ASR) and natural language processing (NLP) to convert voice messages into structured shopping requests.
AI Software Engineer
Freenome
Mar 2021 - Present (4 years 4 months)
Engineered a cancer detection system, improving diagnostic accuracy by over 95% and reducing false negatives. Developed a cancer detection application with 93.31% accuracy using blood tests and Keras/TensorFlow for analysis and classification.
Full Stack Engineer
Cohere
Oct 2019 - Present (5 years 9 months)
Engineered full-stack AI systems with Python backends and React frontends, integrating state-of-the-art NLP and deep learning. Optimized performance across frontend dashboards (React/GraphQL) and backend services (Python, Hack, MySQL, RocksDB).
ML Software Engineer
Darktrace
Jun 2018 - Present (7 years 1 month)
Built AI-driven detection systems that apply NLP and deep learning to structured and unstructured inputs. Engineered modular pipelines and deployed ML-powered services on cloud platforms to automate classification and reduce false positives.
Education
Degrees, certifications, and relevant coursework
University of San Francisco
Master of Computer Science, Computer Science
Grade: 3.8 / 4
Focused on Artificial Intelligence, Machine Learning, and computational approaches. Completed coursework in Advanced Machine Learning, Natural Language Processing (NLP), Data Mining, and Big Data Analytics. Collaborated with a local fintech startup on deploying fraud detection algorithms leveraging ensemble learning and real-time data pipelines. Thesis: “Enhancing Fraud Detection in Financial Syst
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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