# Lokesh Poluru Velayudham > SWE @BioInvision | MS in CS @CWRU Location: San Francisco Bay Area, United States Profile: https://flows.cv/lokeshpoluruvelayudham Hi, I’m Lokesh — a Developer, Builder, and Founder working at the intersection of AI, imaging, and scalable systems. I currently work at BioInVision, where I design and deploy AI-powered 3D imaging systems that push the boundaries of biomedical visualization and tissue analysis. • Built full-stack web and VR platforms for CryoViz™, enabling interactive 3D and volumetric exploration of whole-organism datasets. • Developed and optimized deep learning pipelines (GANs, ViTs, StainDiffuser) for segmentation, classification — accelerating biomedical workflows by 40%+. • Engineered infrastructure for multi-GPU training and model serving using FastAPI, PyTorch, and Azure Cloud, improving throughput and inference latency. Alongside that, I’m pursuing my Master’s in Computer & Data Science at Case Western Reserve University (CWRU), where I’ve worked on: • AI inference optimization with AI3 and Apache TVM, under faculty mentorship. • Research in data privacy, distributed systems, and ML deployment as part of my thesis work. • Building Stratum Labs, a startup creating explainable AI architecture (Signal Fabric Engine™) for enterprise decision intelligence. Before that, I co-founded Foox, a food-tech platform connecting restaurants and food lovers through digital ecosystems. Whether it’s optimizing deep neural pipelines, scaling backend systems, or leading 0→1 product builds, I’m driven by one thing — turning complex ideas into working, impactful systems. 💡 Hustling for the betterment of the race. 📬 Contact: lokeshvelayudham@gmail.com | lokesh.poluruvelayudham@case.edu ## Work Experience ### Software Engineer & Machine Learning (AI & Imaging Systems) @ BIOINVISION INC. Jan 2025 – Present | Cleveland, Ohio, United States • Developed deep learning pipelines for tissue segmentation, pathology classification, and virtual staining — improving data throughput and enabling faster experimental iteration. • Engineered multimodal AI systems that combine vision transformers (ViTs), GANs, and diffusion-based architectures for high-resolution bioimage interpretation. • Built scalable inference infrastructure leveraging FastAPI, PyTorch, and Azure Cloud to serve large 3D/4D imaging models with optimized latency and memory efficiency. • Integrated large language model (LLM)-based tooling to assist in annotation management, metadata generation, and image-to-text interpretation — bridging data science and domain expertise. • Designed end-to-end visualization and analytics pipelines with Next.js, WebGL/vtk.js, and Python microservices, enabling interactive exploration of multi-GB cryo-imaging datasets. • Led system design for streaming and rendering pipelines that reduced dataset load times from minutes to seconds, powering real-time scientific review and decision-making. ### Research Assistant @ Case Western Reserve University Jan 2025 – Jan 2026 • Conducting research on AI model acceleration and inference optimization, leveraging AI3 and Apache TVM to reduce compute latency and memory footprint in large-scale image processing. • Developing efficient deployment strategies for transformer-based architectures and generative AI models, improving scalability on both GPU clusters and edge devices. ### Teaching Assistant @ Case Western Reserve University Jan 2024 – Jan 2025 | Cleveland, Ohio, United States Introduction to Programming for Business Applications. BTEC 420 Marketing Models and Digital Analytics. BUAI 435. • Facilitating Python instruction for 50+ students, achieving a course completion . • Guided student projects to solve 10+ business problems using Python, focusing on research and design. • Enhanced student engagement by 25% through interactive lectures, hands-on exercises, and timely feedback ### Software Application Developer - Undergraduate Research Office @ Case Western Reserve University Jan 2024 – Jan 2025 | Cleveland, Ohio, United States Developing full-stack registration app using MERN stack with dashboards for students, judges, and admins . • Automated student-judge matching for 1500+ students and 250+ judges, improving event efficiency. • Collaborating with University IT to integrate for secure user access. ### Teaching Assistant @ Case Western Reserve University Jan 2024 – Jan 2024 | Cleveland, Ohio, United States Mentored 30+ middle school students in engineering concepts, fostering interest in STEM careers. • Led 10+ hands-on activities and taught technical skills at think[box], boosting student confidence. • Developed an interactive curriculum, increasing student engagement by 25% through practical learning. ### Student Assistant @ Case Western Reserve University Jan 2024 – Jan 2024 | Cleveland, Ohio, United States Developed Student-Judge Matching Model: Built an application using Excel macros to automate the matching of 1500+ students and 250+ judges, reducing manual effort by 70% and improving event coordination efficiency for the Spring Intersections session. Organized Research Events: Assisted in organizing and promoting research and creative initiatives for undergraduate students, supporting the successful execution of the Spring Intersections session. Facilitated University-Community Engagement: Coordinated interactions between student researchers and the university community, enhancing communication and visibility during key events. ### Full Stack Engineer @ Alter Cabs Jan 2023 – Jan 2024 | Chennai, Tamil Nadu, India ### Full Stack Engineer (Founding engineer) @ Foox Technologies Jan 2019 – Jan 2023 | Chennai, India Supported 50+ enterprise clients by leading backend engineering for a B2B SaaS ordering platform (Node.js, Express, Redis). •Improved search performance 30% by implementing Firebase and Golang microservices for indexing. •Delivered MVP ahead of schedule, contributing to ₹4.5M funding and ₹ 0.75 crore revenue within 6 months. ### Development Intern @ GUVI Geek Networks, IITM Research Park Jan 2019 – Jan 2019 | Chennai, Tamil Nadu, India The team identified the problem & strategized a solution for Hiring IIT Madras-incubated Startup Enhanced employer-employee interactions on the platform, achieving a 25% increase in engagement and user satisfaction. • Oversaw end-to-end development of a scalable hiring platform, resulting in a 30% increase in successful job placements and 20% faster time-to-hire for 10,000+ employers. Read more at: http://timesofindia.indiatimes.com/articleshow/68721989.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst ## Education ### Master's degree in Computer Science Case Western Reserve University ### Bachelor of Engineering in Electrical, Electronic and Communications Engineering Technology/Technician Anna University Chennai ### Infant Jesus Schools ## Contact & Social - LinkedIn: https://linkedin.com/in/lokeshvelayudham - Website: https://www.lokeshvelayudham.tech/ --- Source: https://flows.cv/lokeshpoluruvelayudham JSON Resume: https://flows.cv/lokeshpoluruvelayudham/resume.json Last updated: 2026-04-05