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I am an innovative Software Engineer with over 5 years of experience working across high-profile companies including Meta, JPMorgan Chase, and TCS. I specialize in designing cloud-native, high-throughput, and low-latency enterprise systems, and I am passionate about improving system reliability, performance, and integrating machine learning solutions. Skilled in multiple programming languages like Go, Java, and Python, and experienced with cloud platforms such as AWS and Azure, I thrive in Agile environments collaborating with cross-functional teams to deliver impactful features ahead of schedule. I enjoy championing best practices such as Test-Driven Development and DevOps automation to ensure high-quality, secure, and scalable software deployments.…I am an innovative Software Engineer with over 5 years of experience working across high-profile companies including Meta, JPMorgan Chase, and TCS. I specialize in designing cloud-native, high-throughput, and low-latency enterprise systems, and I am passionate about improving system reliability, performance, and integrating machine learning solutions. Skilled in multiple programming languages like Go, Java, and Python, and experienced with cloud platforms such as AWS and Azure, I thrive in Agile environments collaborating with cross-functional teams to deliver impactful features ahead of schedule. I enjoy championing best practices such as Test-Driven Development and DevOps automation to ensure high-quality, secure, and scalable software deployments.

Venkata Shyam Sudheer

Programmer, Developer, Full Stack Developer, +2

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I am an innovative Software Engineer with over 5 years of experience working across high-profile companies including Meta, JPMorgan Chase, and TCS. I specialize in designing cloud-native, high-throughput, and low-latency enterprise systems, and I am passionate about improving system reliability, performance, and integrating machine learning solutions. Skilled in multiple programming languages like Go, Java, and Python, and experienced with cloud platforms such as AWS and Azure, I thrive in Agile environments collaborating with cross-functional teams to deliver impactful features ahead of schedule. I enjoy championing best practices such as Test-Driven Development and DevOps automation to ensure high-quality, secure, and scalable software deployments.…I am an innovative Software Engineer with over 5 years of experience working across high-profile companies including Meta, JPMorgan Chase, and TCS. I specialize in designing cloud-native, high-throughput, and low-latency enterprise systems, and I am passionate about improving system reliability, performance, and integrating machine learning solutions. Skilled in multiple programming languages like Go, Java, and Python, and experienced with cloud platforms such as AWS and Azure, I thrive in Agile environments collaborating with cross-functional teams to deliver impactful features ahead of schedule. I enjoy championing best practices such as Test-Driven Development and DevOps automation to ensure high-quality, secure, and scalable software deployments.

Available to hire

I am an innovative Software Engineer with over 5 years of experience working across high-profile companies including Meta, JPMorgan Chase, and TCS. I specialize in designing cloud-native, high-throughput, and low-latency enterprise systems, and I am passionate about improving system reliability, performance, and integrating machine learning solutions.

Skilled in multiple programming languages like Go, Java, and Python, and experienced with cloud platforms such as AWS and Azure, I thrive in Agile environments collaborating with cross-functional teams to deliver impactful features ahead of schedule. I enjoy championing best practices such as Test-Driven Development and DevOps automation to ensure high-quality, secure, and scalable software deployments.

Skills

Experience Level

Expert

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Language

English

Advanced

Work Experience

Software Engineer at Meta

September 1, 2024 - Present

Designed and deployed microservices architecture using Go and gRPC, with distributed tracing using OpenTelemetry supporting over 20,000 requests per second, reducing latency spikes by 40%. Enhanced distributed database performance with MySQL sharding and Redis caching achieving 99.99% system availability and reducing query latency by 50%. Developed full-stack features with React (Next.js), GraphQL, and Go, integrating WebSocket real-time analytics cutting content moderation decision time by 35%. Built machine learning models using PyTorch and Python for feature engineering on Meta's MLX platform, improving Reels click-through rate by 18%. Streamlined DevOps workflows incorporating GitHub Actions, Kubernetes (GKE, EKS), and canary deployments, decreasing production incidents by 60% and enabling 50+ daily releases. Leveraged LLM tools for code generation and documentation, accelerating development speed by 25%. Collaborated cross-functionally to deliver strategic features 15% ahead of sc

Software Engineer at JPMorgan Chase

July 1, 2023 - August 27, 2025

Built customer-facing dashboards using the MERN stack with JWT authentication and real-time data visualization, increasing portfolio review efficiency by 40%. Designed RESTful APIs using Java Spring Boot with OAuth 2.0 and HATEOAS to improve response times by 35% under high concurrency. Architected payment microservices with Apache Kafka and Spring Boot, reducing transaction failure rates by 60% and scaling to over 2,000 transactions per second. Developed CI/CD pipelines with Jenkins, Docker, and Kubernetes achieving 95% automated test coverage and reducing rollback incidents by 45%. Led migration of legacy risk systems to AWS with Terraform saving 40% costs and improving resilience. Promoted TDD and maintained over 98% unit test coverage, reducing post-deployment defects by 22%.

Software Engineer at TCS

March 1, 2021 - August 27, 2025

Developed backend services using Java 8/11 and Spring Boot incorporating JWT authentication and Hibernate optimizations reducing database query times by 40%. Created scalable A/B testing frameworks on Microsoft Azure using feature flags, increasing feature adoption by 22% and lowering rollback incidents by 35%. Delivered performant frontend apps with React.js, TypeScript, and GraphQL, decreasing API payload size by 60% and improving load times by 35%. Established test-driven workflows with Jest, React Testing Library, and JUnit increasing test coverage to 85% and reducing regression defects by 30%. Built responsive UIs with HTML5, CSS3, and TypeScript reducing frontend maintenance efforts by 25%. Actively engaged in Agile SDLC and refined JIRA workflows enabling 40% faster time-to-market for features.