Summary
Shivashankar Chandrashekaraiah is an AI Backend Engineer with eight years of experience building scalable, production-ready systems that power conversational AI and high-throughput messaging. Currently at Xrep.AI, he designs LLM-driven agents, cron- and Celery-based orchestration, and robust queuing architectures that handle thousands of SMS/calls per day while respecting rate limits and real-time constraints. He has a strong full-stack backend toolkit—Python, FastAPI, Node.js, Redis, RabbitMQ, MySQL, Docker—and a track record of squeezing 10x throughput gains and measurable conversion improvements from engineering changes. At Rizzle and Myelin Foundry he combined applied ML (PyTorch, ESRGAN, FaceNet) with mobile and cloud optimization to cut latency and costs, and shipped novel features like motion-tracking and smart video cropping. He pairs rigorous CS training (MS, UT Dallas; top-ranked BE) with hands-on deployment experience on AWS and edge devices, often solving non-obvious scale and latency challenges such as sub-second audio-to-LLM pipelines. Known for translating research-grade models into reliable product infrastructure, he thrives at the intersection of ML, real-time systems, and pragmatic engineering.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.88, Master of Science - MS, Computer Science, 3.88 at The University of Texas at Dallas
Bachelor of Engineering - BE, Computer Science, 9.02, Bachelor of Engineering - BE, Computer Science, 9.02 at Sri Jayachamarajendra College Of Engineering