Prasanta Roy

Software Engineer

Hyderabad, Telangana, India6 yrs 9 mos experience

Highly Stable

Key Highlights

Led migration of legacy systems to modern compliance solutions.
Expert in Kubernetes and cloud-based infrastructure.
Strong foundation in system design and full-stack development.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in security and compliance solutions.

Contact

Skills

Core Skills

KubernetesProduction SystemsTypescript

Other Skills

Python (Programming Language)Microsoft AzureAzure Kubernetes Service (AKS)Technical EngineeringCommunicationIndustrial ResearchMachine LearningData ScienceOpenCVAPI DevelopmentWeb DesignProject ManagementUser Interface DesignReact.jsASP.NET Web API

About

I’m a results-driven engineer with close to 6 years at Microsoft, building large-scale, cloud-based solutions across security, compliance, and infrastructure. I've led key features in M365 DLP, worked on Kubernetes migrations, and contributed to multi-cloud platforms. With an M.Tech from IIT Guwahati and a strong foundation in system design and full-stack development, I’m passionate about solving complex problems and driving innovation through scalable engineering.

Experience

6 yrs 9 mos

Total Experience

6 yrs 9 mos

Average Tenure

6 yrs 9 mos

Current Experience

Microsoft

2 roles

Software Development Engineer 2

Mar 2022 – Present · 4 yrs 1 mo · On-site

Improved reliability of Web App and services by implementing enhancements.
Platformized API calls for better efficiency and scalability.
Currently leading efforts on Azure Kubernetes Service for modernizing service infrastructure at Microsoft IDC Hyderabad.

Production SystemsKubernetes

Software Development Engineer

Jul 2019 – Mar 2022 · 2 yrs 8 mos · On-site

Led migration and enhancement of legacy Protection Center DLP to advanced New Modernized Compliance Center M365-DLP within Microsoft Information Protection (MIP) domain.
Introduced multiple innovative security features, reducing data loss risk for clients, alongside active involvement in onboarding new workloads under DLP umbrella.
Implemented proactive DLP Alerts, from configuration to data-driven decision-making, ensuring robust data protection and client security in dynamic digital environments.

TypeScriptProduction Systems

Ibm

Research Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru, Karnataka, India · On-site

Watson Visual Insight
Watson Visual Insights, an IoT4Mfg solution, utilizes machine learning algorithms to detect defects using image data. However, its limitations include only accepting relevant images, lacking video input support, and the absence of pre-processing services. The project's objective is to address these shortcomings by developing services for video input and image enhancement. This initiative seeks to enhance defect detection accuracy, particularly in obstructed environments, and significantly improve the solution's effectiveness across various industries reliant on image data analysis.

Production SystemsPython (Programming Language)