SHIVAS
BHAT
EXPERIENCE.LOG
Built real-time social feed and live auction marketplace using WebSockets. Developed 1v1 multiplayer system with matchmaking, friend challenges, and AI bots. Designed Redis-backed job system maintaining stable p95 latency with distributed locking.
Built and launched a B2B fan-engagement platform used by live match venues to deliver interactive matchday experiences. Worked directly with client stakeholders to scope and deliver features under tight matchday timelines. Delivered white-labeled experiences for CBS, Bayern Munich, Smithfield Hall NYC, Westchester SC, Serie A, Peroni, Michelob Ultra, and The Long Acre. Integrated Stripe payments and end-to-end product flows, handling everything from backend systems to UX and client delivery.
Built and automated reliability tooling for production Kubernetes (EKS) platforms. Developed Terraform-based workflows for incident recovery and infrastructure automation. Implemented Istio-based traffic management with mTLS, routing, and canary releases.
Built full-stack web applications for internal operations, improving workflow efficiency. Implemented JWT-based authentication and optimized frontend-backend interactions, reducing API traffic by 40%.
SELECTED_WORK
End-to-end deep learning platform on Kubernetes supporting containerized model training and scalable inference. Benchmarked CNN architectures across NVIDIA T4, Apple M1 CPU, and MPS accelerator with Roofline performance modeling.
Full-stack Deep Learning system for real-time cotton leaf disease diagnosis. Implemented K-Means clustering for segmentation and trained CNN model achieving 95% accuracy. Deployed via Flask API and Android.
Web application using Python and Streamlit to help AWS users optimize cloud costs in real time. Integrated AWS CloudWatch APIs with cost-scaling algorithms and interactive dashboard.
SKILLS.EXE
Production Kubernetes (EKS) platforms, Terraform-based infrastructure automation, CI/CD pipelines with GitLab CI, Helm, and zero-downtime deployments.
Building scalable APIs, real-time systems with WebSockets, Redis-backed job systems, and event-driven architectures for high-performance applications.
Modern web applications with React.js, optimized frontend-backend interactions, and responsive interfaces with clean user experiences.
Deep learning systems with TensorFlow and PyTorch, CNN architectures, computer vision preprocessing, and model optimization for production deployment.
Designing and optimizing relational and NoSQL databases, implementing data consistency patterns, and building efficient query systems.
Production observability with Prometheus, Grafana, Datadog. Security implementation with SSL/TLS, OAuth, JWT authentication systems.
ABOUT.TXT
I'm Shivas Bhat — a Software Engineer currently pursuing my MS in Computer Science at NYU Courant (Expected Graduation December 2026).
I specialize in DevOps/SRE, full-stack development, and machine learning. I build scalable distributed systems, real-time applications, and production-grade ML platforms on Kubernetes.
Built a B2B fan-engagement platform used by live match venues including CBS, Bayern Munich, Smithfield Hall NYC, Serie A, Peroni, and Michelob Ultra to deliver interactive matchday experiences.
AWS Cloud Practitioner certified. Previously at Cloudera and Persistent Systems. Passionate about building reliable, high-performance systems.
CONTACT.SH
I'm open to new opportunities and collaborations. Feel free to reach out via email or connect on LinkedIn.