Resume

Venkat Rao Manavarthi

Software Engineer
manavarthivenkat@icloud.com | +1 816-577-0765
linkedin.com/in/venkatrao-manavarthi | github.com/venkatmanavarthi | venkatmanav.com | DC, United States


Summary

Software Engineer with 4+ years of experience building scalable backend and distributed systems across enterprise and cloud environments. Skilled in designing and optimizing microservices, APIs, and real-time data pipelines using Go, Python, FastAPI, Docker, Kubernetes, and AWS/GCP.

Proven success in improving system efficiency and delivery velocity — including reducing infrastructure setup time by 80%, boosting query performance by 30%, and lowering cloud costs by 25%. Experienced in building CI/CD pipelines, automating testing frameworks, and deploying high-availability systems serving thousands of concurrent users.

Certified in AWS and Hugging Face Agents, with a strong academic foundation (MS in Computer Science, University of Missouri) and a track record of delivering production-grade solutions that scale.


Professional Experience

National Institute of Standards and Technology

Software Engineer
July 2024 – Present

  • Designed and deployed scalable Go-based microservices and gRPC APIs, enabling real-time distributed control with low-latency response times in high-availability environments.
  • Optimized PostgreSQL queries via go-gorm ORM tuning and indexing, improving system performance by 30% for data-intensive workflows.
  • Automated integration test workflows with config-driven execution pipelines (Go + CI/CD), cutting manual QA effort by 60% and accelerating release cycles.
  • Partnered with research teams to deploy backend services on Kubernetes-based high-availability simulation platforms, ensuring 99.9% uptime and supporting real-time experimental validation.

Curators of Missouri System

Software Engineer
June 2023 – June 2024

  • Developed Terraform and Bash-based automation scripts for AWS & GCP, enabling repeatable deployment of Dockerized testbed environments and reducing setup time by 80%.
  • Designed and deployed RESTful APIs with FastAPI, streamlining backend orchestration and reducing inter-service communication latency by 40%.
  • Built Dockerized testing environments and CI/CD pipelines (GitHub Actions, Jenkins), ensuring reproducible infra testing and reducing environment drift by 95%.
  • Delivered real-time IoT data pipelines (Kafka + GCP Pub/Sub) with state partners, enabling sub-second processing of 100K+ safety data events.

Nagarro

Software Engineer
January 2022 – July 2022

  • Built and deployed FastAPI-based microservices to AWS Lambda, reducing infrastructure costs by 40% while enabling on-demand scalability.
  • Implemented a Redis caching layer for high-traffic search services, cutting average query response time by 50%.
  • Optimized large-scale data ingestion pipelines by transitioning from CSV to Apache Parquet format, improving I/O performance and reducing cloud storage costs by 25%.
  • Automated CI/CD pipeline for API deployments using GitHub Actions, cutting release turnaround time by 35%.

Early Career (Zersey, Beadcore)

Software Engineer
June 2020 – January 2021

  • Developed and deployed iOS applications using Swift and SwiftUI, achieving 95% crash-free sessions on App Store.
  • Integrated RESTful APIs and Core Data storage, enabling offline-first functionality and improving data sync reliability by 40%.
  • Collaborated with designers and QA teams to deliver 3+ production iOS apps, reaching 5K+ active users within the first 3 months.
  • Implemented unit testing with XCTest and automated builds, improving release cycle efficiency by 30%.

Skills

Languages: Python, Go, Java, SQL, Bash

Frameworks & Libraries: FastAPI, Flask, Spring Boot, React

Cloud Platforms & DevOps: AWS (EC2, Lambda, S3, RDS, EKS, CloudWatch), Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD, Git

Databases & Storage: PostgreSQL, DynamoDB, Cassandra, MongoDB, Redis

Distributed Systems & Messaging: Kafka, gRPC, REST APIs, Microservices

Testing, Monitoring & Automation: PyTest, UnitTest, Postman, Prometheus, Grafana

Machine Learning & AI: LLMs, LangChain, OpenAI APIs, Agentic AI

Other Tools: Linux, Nginx


Education

Master of Science in Computer Science
University of Missouri - Kansas City
August 2022 – May 2024

Bachelor of Technology in Computer Science
Lovely Professional University
July 2018 – May 2022


Awards

  • Ayinala Award for Excellence in Research (2024)
  • Dean’s International Scholarship (2022 – 2024)
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