Gyanapriya Pradhan

Operations Associate

Herndon, Virginia, United States1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Research paper selected for publication in a prestigious journal.
Developed innovative cloud security model integrating machine learning.
Experienced in full-stack development and agile methodologies.

Stackforce AI infers this person is a Cloud Security and Full-Stack Development specialist with a focus on innovative research.

Contact

Skills

Core Skills

NetworkingFull Stack DevelopmentResearch

Other Skills

IPv6AgileCI/CDStatistical Data AnalysisMachine Learning AlgorithmsbackendIPv4MERN StackReact.jsMongoDBExpress.jsNode.jsMultiple Projects SimultaneouslyManagementEmployee Benefits

Experience

1 yr 11 mos

Total Experience

8 mos

Average Tenure

6 mos

Current Experience

Lancesoft, inc.

Associate

Dec 2025 – Present · 6 mos · Virginia, United States · Remote

National internet exchange of india (nixi)

Technical Influencer

Mar 2025 – Present · 1 yr 3 mos · New Delhi, Delhi, India · On-site

NetworkingIPv6

Qualcomm

IT Software Developer

Dec 2024 – Nov 2025 · 11 mos · India · Hybrid

cloud native, multi env, service mesh integration

Upwork

Operations Engineering

Dec 2023 – Jan 2025 · 1 yr 1 mo · Singapore · Hybrid

Full Stack Development, Agile, CI/CD

Full Stack DevelopmentAgileCI/CD

Nit trichy

2 roles

Research Author

Jul 2023 – Nov 2023 · 4 mos · Tiruchirappalli, Tamil Nadu, India

Summer Research Intern - Cloud Security

May 2023 – Jul 2023 · 2 mos · Tiruchirappalli, Tamil Nadu, India

I served as a Research Intern in the field of Cloud Data Security, where I developed a model named SFBRA. This innovative solution operates on a dual-layer protection approach for both users and data, seamlessly integrating cybersecurity practices and machine learning algorithms. The model incorporates various detection algorithms for precise calculations. I am pleased to share that our research paper has been selected for publication in the upcoming February volume of the Cluster Computing Journal by Springer.

ResearchStatistical Data Analysis