Adit Patel

Software Engineer

Sunnyvale, California, United States1 yr 1 mo experience

Key Highlights

Expert in developing scalable hybrid cloud software.
Proficient in High Availability and observability frameworks.
Strong background in machine learning and data analysis.

Stackforce AI infers this person is a Cloud Computing and Fintech specialist with expertise in scalable software development.

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Skills

Core Skills

High Availability (ha)C++Amazon Web Services (aws)LinuxMachine LearningFlask

Other Skills

NetworkingBoostCLI11systemDNode ExporterPrometheusGrafanaREST APIspytestPython (Programming Language)Azure Machine LearningAnsibleTerraformSystems EngineeringPrometheus.io

About

I build and validate scalable hybrid cloud software where performance and reliability are non-negotiable. By integrating advanced observability frameworks and focusing on developing High Availability features, I ensure our systems are as resilient as they are scalable. My role bridges the gap between complex R&D and practical application, collaborating across teams to accelerate onboarding and resolve critical technical challenges.

Experience

1 yr 1 mo

Total Experience

1 yr 1 mo

Average Tenure

1 yr 1 mo

Current Experience

Synopsys inc

2 roles

Sr. R&D Engineer

May 2025 – Present · 1 yr 1 mo · Hybrid

High Availability (HA)Networking

Software Engineer Intern

May 2024 – Apr 2025 · 11 mos · Hybrid

Hybrid Cloud Team
Developed a C++ installer using the Boost and CLI11 libraries for deploying real-time data caching services on Azure and AWS cloud instances, reducing human intervention by 70%.
Implemented a systemD interface to efficiently manage custom Linux services, eliminating the dependency on Ansible for service startup and automation. Documented steps to update service configurations, including dependency settings.
Designed an end-to-end script for integrating Node Exporter, Prometheus and Grafana to enable real-time monitoring of system level and service metrics, enhancing performance analytics and visualization.

LinuxAmazon Web Services (AWS)C++BoostCLI11systemD+3

State street

Software Engineer Intern

Jan 2023 – Jul 2023 · 6 mos · Hyderabad, Telangana, India · On-site

Collaborated to develop a functionality to identify anomalies in categorical columns using statistical machine learning techniques like Random Forest Classifier. Designed various test cases and performed unit-testing with pytest.
Built REST APIs using Flask for Document Parsing and Data Validation. Documented 150 APIs using Swagger and OpenAPI, and conducted thorough testing using Postman.
Established POC to deploy real-time and batch endpoints on Azure Machine Learning Studio using Python SDK as part of the company’s migration to cloud infrastructure.
Inspected the existing database schema design and summarized information relevant to 7 market value features influencing data quality.

FlaskREST APIsMachine LearningpytestPython (Programming Language)