# Karthik Thyagarajan > CS & AI @ Purdue | karthikthyagarajan.com Location: San Francisco Bay Area, United States Profile: https://flows.cv/karthikthyagarajan https://www.karthikthyagarajan.com/ I'm an undergraduate at Purdue University studying Computer Science and Artificial Intelligence, passionate about building systems that blend perception and reasoning. I enjoy tackling complex problems at the intersection of intelligence and interactivity. I am an ideator, a builder, and a dreamer. I’ve led ML projects in both academic and applied settings, and I’m always looking for opportunities to build, learn, and collaborate on impactful tech. ## Work Experience ### Machine Learning Engineering Intern @ Peraton Labs Jan 2025 – Present | Silver Spring, MD Designed and implemented the first-of-its-kind reinforcement-learning agent to intelligently navigate complex IoT device environments—reducing exploration latency by 35% and boosting malware detection coverage by 25% over a brute-force search baseline. Implemented a heterogeneous graph neural network combined with autoencoders to model inter-device relationships and inform RL agent policy, aiming to enhance policy convergence and improve malware detection accuracy. ### Founding Engineer @ Repple Jan 2025 – Present | West Lafayette, Indiana, United States ### Co-President and Technical Lead @ buildpurdue Jan 2025 – Present | West Lafayette, IN Designed the operational framework for a new founder hub, bridging the gap between customer discovery and technical building. Solely developed the organization's operating platform (Next.js/TypeScript), implementing secure RBAC pipelines to automate student and alumni management. ### Computer Vision Researcher @ Memories.ai Jan 2025 – Jan 2025 Engineered and deployed a customer-facing, scalable video memory framework for AR apps, enabling long-term spatial and contextual awareness and optimizing throughput for speed and scale. Designed and launched a Python SDK for the Mavi platform, driving end-to-end developer workflows around video analysis; published to PyPI at pypi.org/project/pymavi ### Undergraduate Robotics Researcher @ IDEAS Lab Jan 2025 – Jan 2025 | West Lafayette, Indiana, United States Collaborated in a cross-functional, iterative team of engineers and researchers to build end-to-end real-time SLAM and novel view-synthesis pipelines, improving scene reconstruction accuracy by 25% while ensuring safety and reliability in deployment. Implemented performance optimizations in C++ and Python to scale mapping algorithms for autonomous navigation, reducing processing latency ### Undergraduate Data Science and ML Researcher @ The Data Mine - Purdue University Jan 2024 – Jan 2024 | West Lafayette, Indiana, United States Partnered with AgRPA in an iterative, cross-disciplinary team to build an end-to-end weed-detection pipeline using Python, TensorFlow, and Postgres, optimizing database queries for 40% faster retrieval. Developed semantic segmentation and localization models to accurately locate weeds during real-time drone flight, speeding up ground-vehicle-based methods by 50% and cutting herbicide costs by 60%. ### Integrated Photonics Design Engineer @ Instachip (YC W25) Jan 2022 – Jan 2024 | Alexandria, Virginia, United States Worked as part of a student-led startup to design powerful optical computing chips for neural network backpropagation and telecommunication. Designed optical circuits that combined digital and analog systems to perform powerful silicon-photonic computation. ### SEAP Naval Intern @ U.S. Naval Research Laboratory Jan 2023 – Jan 2023 | Washington DC-Baltimore Area Led a team of four interns in the PALIS project, applying machine learning to underwater acoustics with a specific focus on the interaction between semantic segmentation and acoustic loss modeling. Developed and implemented cutting-edge image-to-image translation models using UNets, Transformers, and GANs, improving transmission loss prediction accuracy by 20%. Contributed to replacing resource-intensive physics engines with machine learning models, projecting a 40% reduction in resource usage upon deployment. ### Information Technology Assistant @ Fairfax County Public Schools Jan 2022 – Jan 2022 | Alexandria, Virginia, United States Performed maintenance on school technology over the summer. Reimaged 2,000 student laptops, installed server software, and maintained hardware. ## Education ### Bachelor of Science - BS in Computer Science and Artificial Intelligence Purdue University ### Thomas Jefferson High School for Science and Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/karthikthyagarajan06 - Portfolio: https://karthikthyagarajan.com --- Source: https://flows.cv/karthikthyagarajan JSON Resume: https://flows.cv/karthikthyagarajan/resume.json Last updated: 2026-04-11