Rishwanth Perumandla
Backend Engineer & AI Infrastructure Architect
I engineer production systems that process millions of requests with sub-100ms latency. Specializing in distributed systems, cloud-native architectures, and AI infrastructure that scales.
Reliability
Systems that stay up. I design for fault tolerance, graceful degradation, and self-healing infrastructure.
Performance
Sub-100ms latency at scale. From query optimization to caching strategies, speed is a feature.
Scalability
Built to grow. Event-driven architectures and horizontal scaling patterns that handle 10x traffic spikes.
Craft
Clean code, thoughtful abstractions, and infrastructure as code. Engineering is an artisanal practice.
Professional Summary
I am a Software Engineer with 5+ years architecting production backend systems, distributed microservices, and terabyte-scale ETL pipelines across AWS, GCP, and Azure. I hold an MS in Computer Science from Purdue University.
Expert in Python, Go, Node.js, and Java, specializing in high-throughput API design, database optimization, and AI-native application development. Proven track record of achieving 99.9% uptime SLAs, reducing cloud infrastructure costs by 40%, and delivering secure platforms processing 100K+ daily requests.
Deep expertise in infrastructure-as-code, container orchestration, and scalable data architecture. I engineer systems that make intelligence possible from GPU cluster orchestration for AI inference to event-driven microservices handling millions of events.
Core Philosophy
My engineering philosophy centers on clarity, reliability, and systematic optimization. I design backends that handle millions of requests with sub-100ms latency, orchestrate GPU clusters for AI inference, and build data pipelines that process terabytes without breaking a sweat.
Outside engineering, I explore storytelling through RIPE — my creative identity where filmmaking, writing, and visual design converge. Storytelling teaches rhythm and emotion; engineering teaches structure and precision. I bring both into everything I create.
US-CENTRAL1 // AVAILABLE
System Specs
Languages
PRIMARY_RUNTIMESPython
ExpertFastAPI, Django, Flask
Go
ExpertGin, Microservices
Node.js
ExpertExpress, TypeScript
Java
ProficientSpring Boot
SQL
ExpertPostgreSQL, MySQL
Bash/Shell
ProficientAutomation
Expertise Matrix
CAPABILITIES_V2.0Architecture
AI/ML Infrastructure
Cloud & DevOps
Data Systems
Experience
DEPLOYMENT_HISTORY
MS Computer Science
Purdue University
Pursued Master's in Computer Science with focus on distributed systems, cloud architecture, and AI/ML infrastructure. Coursework included Advanced Database Systems, Distributed Systems, Machine Learning Systems, and Cloud Computing. Gained deep theoretical and practical knowledge in building scalable, reliable systems while contributing to research projects in data processing and system optimization.
Software Engineer
Centella Scientific
Orchestrated terabyte-scale ETL pipelines processing 10M+ molecular records daily using Apache Airflow, Pandas, and PySpark. Engineered low-latency model serving infrastructure for GNN-based predictions using FastAPI and TorchServe, delivering 50ms p99 inference latency for 49 pharmacokinetic descriptors across 7M+ compounds. Provisioned multi-cloud Kubernetes infrastructure (AKS/GKE) using Terraform and Helm, deploying Apache Kafka for event streaming and Redis Streams for queue management.
Software Engineer
Rivach LLP
Scaled backend services to support 2,000+ monthly active users by architecting Node.js/Express, Python (FastAPI, Flask) and Go (Gin) microservices with RESTful APIs on AWS. Reduced authentication failures by 40% by engineering secure server-side modules using OAuth2/JWT protocols and RBAC authorization. Cut release cycles by 50% by implementing CI/CD pipelines (GitHub Actions) and Infrastructure-as-Code (Terraform) for automated deployments.
Software Engineer
Ubiqlogix Pvt Ltd
Processed 100K+ daily requests with 99.5% uptime by architecting scalable microservices using Python (FastAPI, Django), Go (Gin), and Node.js. Reduced operational overhead by 60% by developing automated backend tooling and admin console APIs, replacing manual processes with self-service platform management. Achieved 3x improvement in query throughput by optimizing PostgreSQL, MySQL, and MongoDB schemas.
Certifications
CREDENTIALSAWS Certified Solutions Architect – Associate
Amazon Web Services
The Creative Engine
Outside engineering, I explore storytelling through RIPE — my creative identity where filmmaking, writing, and visual design converge. Storytelling teaches rhythm and emotion; engineering teaches structure and precision.
Explore RIPE →Get In Touch
CONTACT_ENDPOINTInterested in collaborating on distributed systems, AI infrastructure, or technical architecture discussions? I'm always open to meaningful engineering conversations.