Hi, I'm Krish Chaudhary
Software Developer & ML Engineer
MS in Computer and Information Science @ UPenn
Passionate about building scalable, intelligent software and solving real-world problems with code.
MS in Computer and Information Science @ UPenn
Passionate about building scalable, intelligent software and solving real-world problems with code.
My interests in the field of Computer Science are deep learning, computer security, and quantum computing. I believe the most important thing technology can do is improve the community, so I strive to apply my skills and knowledge to the most pressing problems. In my free time, I like cooking, playing guitar, working out, or surfing.
I'm a software developer and machine learning engineer with experience in SaaS, healthcare AI, consulting, and teaching. I love building robust, scalable systems and collaborating with cross-functional teams to deliver impactful solutions.
Publications
Years Experience
Projects
Built a fraud detection system for SaaS real estate platform, achieving 92% accuracy. Integrated with production APIs and led A/B testing for validation.
Led a team to develop a medical chatbot using Agency Swarm framework for autonomous multi-AI agent communication. Promoted to Computer Vision team for flagship product testing.
Automated reporting, managed CI/CD pipelines, and deployed scalable infrastructure for clients using SQL, PowerBI, Snowflake, Jenkins, Ansible, Terraform, AWS, Docker, and Kubernetes.
Developed a honeypot system with a microservice architecture to attract real-world attackers for analysis and research. The system mimicked a real SaaS application with intentionally designed vulnerabilities. Detected and categorized over 30,000 attacks, and presented findings at a national conference.
A web3 project for decentralized charity, employing the concept of blockchain-enabled applications to allow seamless, transparent donations. Won 2nd place at the Spring 2022 Blockchain Project Series.
Created an Arduino-based battle bot with autonomous and user-controlled modes. The bot utilized sensors and motors for navigation and combat, and was presented at a robotics competition.
Built an anomalous transaction detection software for early detection of fraudulent activity with an accuracy of 92%. Worked as the ML engineer to develop an end-to-end pipeline for model development, deployment, and retraining. Collaborated with backend team to integrate into production APIs and conducted A/B testing to validate performance.
Teaching assistant for CS 176A (Computer Communication Networking). Helped students with homework assignments, test preparation, and general course questions.
Supported freshmen CS and ChemE students by offering advice and guidance through the complexities of entering college.
Led a team to develop a differential diagnosis agentic chatbot using the Agency Swarm framework and OpenAI's LLMs. Designed a chatbot to request patient symptoms, provide a diagnosis with potential causes, and query private health records. Promoted to Computer Vision team to test company flagship product—patient monitoring algorithms.
Worked with the Greenheck Group to generate insights from company data using SQL, PowerBI, Snowflake, and ML scripts. Managed CI/CD pipelines, designed and deployed Kubernetes clusters and Docker containerized microservices for optimized, scalable infrastructure. Improved SQL querying and updating data, saving hundreds of hours of manual labor in reporting data to Latin American clients.
Master of Science (MS), Computer and Information Science
Jun 2025 – May 2027
Relevant Coursework: Software Systems, Machine Learning, Data Science for Finance
Bachelor of Science, Computer Science
Jun 2021 – May 2025
Activities and societies: Institute of Electrical and Electronics Engineers, UCSB Early Research Scholars Program (2022–2023), Technology Management Program
I'm always interested in new opportunities and exciting projects. Feel free to reach out if you'd like to collaborate or just want to say hello.