Vibhav Sunil Deo — Software Engineer

Hi there! I’m Vibhav, a passionate Software Engineer with a strong foundation in networks, infrastructure, distributed systems and cloud. I recently completed my Master’s in Computer Science at North Carolina State University and have worked across organizations like Hughes Network Systems, RackWare, and ZS Associates where I’ve contributed to projects spanning distributed systems, observability, cloud, and data science. Here’s what drives me: 💡 Engineering Reliability: I love designing systems that are resilient, observable, and extensible. 🤝 Collaboration & Learning: I thrive in fast-paced, team-oriented environments where ideas flow freely and innovation is shared. 🌍 Continuous Growth: My curiosity pushes me to keep exploring new tools and technologies and to keep growing by learning something new every day. Skills: 🖥️ Languages and Frameworks: Python, C++, Shell, Java, Go, JavaScript, React.js, Node.js, Spring Boot, Flask, Django, FastAPI Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, Amazon Redshift, Amazon RDS 🔧Tools and Software: AWS, Kubernetes, Virtualization, Docker, Ansible, Linux, Networks, Airflow, ELK, Terraform, Nginx, HAProxy, Patroni, OAuth2, Socket Programming, CI/CD, CloudFormation 📊Data Science: Jupyter Notebook, Tableau, PowerBI, Excel, Hive, Databricks, R, NumPy, Pandas, TensorFlow, Keras, Sklearn, PyTorch, Matplotlib, AWS Glue, AWS Step Functions, MWAA I’m currently open to opportunities in Software Engineering at the intersection of Platform, Infrastructure, Networks and Cloud where I can apply my experience to build impactful scalable solutions. Let’s connect to collaborate on technologies that make a global impact. 🌎

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in distributed systems and data engineering.

Location: San Francisco, California, United States

Experience: 2 yrs 3 mos

Skills

Distributed Systems
Cloud Computing
Infrastructure
Observability
Database Management
Web Development
Data Science
Machine Learning
Data Engineering

Career Highlights

Expert in distributed systems and cloud infrastructure.
Proven track record in optimizing performance and reliability.
Strong collaboration skills in team-oriented environments.

Work Experience

Hughes

MTS-3 Software Engineer (4 mos)

North Carolina State University

Research Assistant (Software Engineer) (8 mos)

RackWare

Software Engineer (3 mos)

ZS

Software Engineer (1 yr 11 mos)

Education

Master's degree at North Carolina State University

Bachelor of Engineering - BE at Pune Institute of Computer Technology

Vibhav Sunil Deo

Software Engineer

San Francisco, California, United States2 yrs 3 mos experience

Key Highlights

Expert in distributed systems and cloud infrastructure.
Proven track record in optimizing performance and reliability.
Strong collaboration skills in team-oriented environments.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in distributed systems and data engineering.

Contact

Skills

Core Skills

Distributed SystemsCloud ComputingInfrastructureObservabilityDatabase ManagementWeb DevelopmentData ScienceMachine LearningData Engineering

Other Skills

Go (Programming Language)Prometheus.ioNGINXetcdconfdOpenSearchFluentdAnsiblePrometheusPostgreSQLReact.jsBootstrap (Framework)Next.jsDjango REST FrameworkMongoDB

About

Experience

2 yrs 3 mos

Total Experience

1 yr 1 mo

Average Tenure

Current Experience

Hughes

MTS-3 Software Engineer

Jun 2025 – Oct 2025 · 4 mos · Gaithersburg, Maryland, United States · On-site

● Worked on migrating a load balancing solution from F5 BIG-IP to an opensource NGINX-based solution, by integrating etcd and confd for active health checks, maintaining persistent connections to ensure reliability, and providing soft-exit handling for maintenance support.
● Engineered a fault-tolerant log aggregation system for distributed applications using OpenSearch and Fluentd, with automated deployment via Ansible, enabling resilient centralized logging and reducing debugging time by around 40%.
● Developed a monitoring subsystem in Go with a flexible interface for integration with any Time Series Database (TSDB), improving platform SLA observability by 100%. Automated the deployment with Prometheus as TSDB via Ansible.
● Spearheaded PostgreSQL DB upgrade from v11 to v16 across production systems, implementing a minimal-downtime migration plan

Go (Programming Language)Prometheus.ioDistributed SystemsCloud Computing

North carolina state university

Research Assistant (Software Engineer)

Sep 2024 – May 2025 · 8 mos · Raleigh, North Carolina, United States · On-site

● Developed a web application with a frontend built using Next.js and a backend using Django REST Framework employing MongoDB for efficient data management.
● Integrated CILogon with the application to provide robust end to end authentication and authorization across the application.
● Deployed the application on AWS EKS ensuring scalability and implemented a CI/CD pipeline with CodeBuild and CodePipeline streamlining deployment.
● Worked on the waste segregation system using OpenCV and Yolo for NC Department of Energy. Designed the ETL for the same using Python, shell and AWS.

React.jsBootstrap (Framework)Web DevelopmentCloud Computing

Rackware

Software Engineer

May 2024 – Aug 2024 · 3 mos · San Jose, California, United States · Remote

● Boosted the performance of SWIFT product, used for container migrations across any cloud platform and disaster recovery of deployed applications, by 15% through C++ code optimization and protobuf template refinement.
● Increased client cluster resource efficiency by 20% and enhanced observability by developing and integrating a monitoring service for SWIFT. Created new APIs and handled PostgreSQL CRUD operations for various monitoring actions using OOPS and modern C++ techniques.
● Conducted POCs on various monitoring tools such as Prometheus, InfluxDB, VictoriaMetrics and Sensu to enhance monitoring capabilities.

C++KubernetesCloud ComputingInfrastructure

Zs

Software Engineer

Aug 2021 – Jul 2023 · 1 yr 11 mos · Pune, Maharashtra, India

Data Utility Companion Application
● Designed the architecture framework for the application aimed at automating data migration and data upload functionalities.
● Led the construction of the applications ETL using Airflow, AWS Glue, Python, and Bash, increasing operation efficiency by 200%.
● Developed REST APIs for communication between the SFDC front-end and AWS backend with API Gateway and Lambda functions.
● Created AWS CloudFormation templates for consistent and scalable provisioning and management of resources required by the application.
● Collaborated to establish a robust CI/CD pipeline using AWS CodeCommit and AWS CodePipeline to improve the application deployment.
Customer Alignment Engine
● Optimized existing and designed new PostgreSQL stored procedures for the engine, boosting client’s sales performance by 15%.
● Developed an alignment generation rule suggestion tool using AWS which streamlined the sales planning resulting in an increase in sales.
● Engaged in client conversations to define project requirements. Managed workload analysis and change request effort estimation.
● Trained and mentored interns on the AWS cloud, data integration pipeline and the engine, ensuring seamless onboarding to the project.
● Designed Tableau dashboards relating sales data to customers (HCP/HCO) and employee data that helped the client increase revenue by 7%