Summary
Akarsha Jain is an MSCS candidate at USC and a pragmatic ML systems engineer with 11 years of software experience building production-grade, low-latency distributed systems and applied AI. He has deployed Kafka-driven real-time pipelines and fault-tolerant microservices on AWS EKS for high-volume transaction and fraud-detection workloads, emphasizing scalability, observability, and sub-100ms processing. His recent projects span multi-agent research assistants with persistent memory and observability tooling, edge computer-vision models optimized for mobile inference, and full-stack LLM/RAG integrations using Next.js and FastAPI. Comfortable across the stack—from PostgreSQL-backed semantic retrieval to Kubernetes deployments—he blends research-minded experimentation with operational rigor. Based in Los Angeles, he pairs industry experience at NAB with academic systems work at USC and Mayo Clinic, uniquely focusing on where model performance and distributed infrastructure meet in production.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern California
Bachelor of Technology - BTech, Computer science and engineering, Bachelor of Technology - BTech, Computer science and engineering at Walchand Institute of Technology, Solapur