Real-time Multiplayer Chess Platform
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Summary
Developed a real-time multiplayer chess platform leveraging modern web technologies and cloud infrastructure to support high concurrency and low-latency gameplay.
LOKESH REPALA
Software Engineer
Dallas, US.About
Highly accomplished Software Engineer with an M.S. in Computer Science and over 3 years of expertise in building scalable, fault-tolerant distributed systems across AWS, Azure, and GCP. Proven ability to design and deliver production-grade microservices, REST/gRPC/GraphQL APIs, and robust CI/CD pipelines, driving significant improvements in system latency, reliability, and delivery speed. Adept at leveraging a diverse tech stack including Java, .NET, Python, and Kubernetes to achieve measurable business and technical outcomes.
Work
State Farm
|Software Developer
Dallas, TX, US
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Summary
Led the development and optimization of high-performance microservices and CI/CD pipelines on Azure and AWS, significantly enhancing system availability and developer efficiency.
Highlights
Delivered Spring Boot microservices and .NET Core APIs on Azure and AWS, achieving 99.9% availability and sub-200 ms API latency.
Implemented CI/CD with Docker, Kubernetes, and service deploy gates, cutting release time 40% and raising test coverage 15%.
Improved resiliency with circuit breakers and deep root-cause analysis, reducing production incidents 30%.
Optimized SQL Server and MongoDB schemas and pipelines, improving query performance 35% and stabilizing Big Data flows.
Led 60+ cross-team code reviews and mentored five engineers, boosting code quality 30% and cutting post-release defects 25%.
Accenture
|Software Engineer (Full Stack)
Hyderabad, Telangana, India
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Summary
Engineered full-stack solutions and optimized infrastructure, driving significant cost savings, performance improvements, and operational efficiency for enterprise clients.
Highlights
Applied Python PuLP to an EC2 resource-allocation linear program, trimming compute spend 18% while meeting SLA.
Developed Angular and .NET Core apps that consumed REST APIs and processed JSON payloads, cutting UI load time 25% and lifting UX scores 15%.
Orchestrated the migration of Java microservices to Docker containers managed by Kubernetes on Azure DevOps, achieving zero-downtime deployments and slashing infrastructure maintenance time by 40%.
Designed a multi-tier system for ~10M daily B2B transactions with robust authentication and authorization, lowering latency by 20%.
Operated .NET Core payment services on PostgreSQL, improving error rates 45% using authentication, idempotency keys, consistent hashing, and end-to-end tracing.
Education
California State University, Chico
Chico, CA, United States of America
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Master of Science
Computer Science
Jawaharlal Nehru Technological University, Hyderabad
Hyderabad, Telangana, India
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Bachelor of Technology
Information Technology
Skills
Languages/Frameworks
Java, C++, C#, Python, TypeScript/JavaScript, .NET Core, Spring Boot, Node.js, Django, React, Angular.
Cloud/Containers
AWS EKS, Lambda, Azure, GCP, Kubernetes, Docker, Terraform, Argo CD, GitHub Actions.
APIs/Systems
REST, gRPC, GraphQL, WebSockets, microservices architecture, event-driven design.
Data/DevOps
PostgreSQL, SQL Server, MongoDB, DynamoDB, Redis, Kafka, Elasticsearch, Grafana, Prometheus, Splunk.
AI/RAG
FAISS, BM25, BGE small-en v1.5 embeddings, cross-encoder re-ranker, FastAPI.
Projects
Retrieval-Augmented Generation Pipeline
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Summary
Designed and implemented a Retrieval-Augmented Generation (RAG) pipeline for efficient document ingestion, hybrid retrieval, and large language model deployment.