Aaditya Anand
Software Engineer Backend & Distributed Systems @University of Maryland Baltimore County
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WORK HISTORY
Software Engineer Backend & Distributed Systems @University of Maryland Baltimore County
Washington, DC, US
Improved and maintained distributed backend systems supporting 500+ concurrent users across multiple academic departments, focusing on performance, reliability, and engineering quality. Re-architected backend workflows to improve responsiveness and reduce incident resolution time by 30%. Built backend services powering real-time analytics dashboards, reducing reporting delays by 30%, and optimized PostgreSQL queries and indexing to cut dashboard latency by 50%. Strengthened engineering reliability by implementing GitLab CI/CD pipelines with 85% automated test coverage, leading code reviews, enforcing GitHub Flow, and resolving production issues across API, database, and infrastructure layers.
EDUCATION
University of Maryland Baltimore County
Master of Science - MS, Computer Science
Medi-Caps Institute of Science & Technology , AB Road, Pigdamber (Rau) Indore-453331
Bachelor of Technology - BTech, Computer Science
ABOUT AADITYA ANAND
I’m a Backend Software Engineer specializing in distributed systems and high-scale cloud architectures, with experience building production platforms that support real-world users and data-intensive workloads.My work focuses on designing high-performance backend services, event-driven architectures, and scalable APIs using technologies such as Python, Java, Kafka, Redis, PostgreSQL, and AWS. I enjoy solving complex systems problems — improving latency, scaling services under heavy load, and building reliable infrastructure that supports modern applications.In my recent roles, I have: • Reduced backend system latency by 50% through database and architecture optimization • Built automation pipelines that reduced manual operational effort by 40% • Designed Kafka-based distributed data pipelines processing large volumes of real-time data • Developed scalable microservices and APIs supporting 500+ concurrent users • Implemented CI/CD pipelines and testing frameworks improving release reliability and engineering velocityI’m particularly interested in working on backend infrastructure, distributed systems, data platforms, and cloud-native architectures where software design and system performance directly impact real-world applications.Technologies I work with regularly include: Python | Java | Kafka | Redis | PostgreSQL | Microservices | AWS | Docker | KubernetesI’m currently exploring opportunities as a Backend Engineer / Distributed Systems Engineer / Platform Engineer, where I can contribute to building reliable, scalable systems used by thousands or millions of users.If you\'re building high-scale backend systems, data platforms, or distributed cloud services, I\'d love to connect.
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