Suryansh Shukla

Software Engineer

Hyderabad, Telangana, India4 yrs 6 mos experience

Key Highlights

Proficient in developing APIs for KYC processes.
Experienced in cloud applications using Google Cloud and Azure.
Strong background in microservices architecture.

Stackforce AI infers this person is a Fintech and SaaS-focused Software Engineer with expertise in API development and cloud solutions.

Contact

Skills

Core Skills

ApisMicroservicesMultithreadingWorkflow AutomationCloud ApplicationsOptical Character Recognition

Other Skills

3rd Party IntegrationsAgile DevelopmentAnalytical SkillsAngularJSAzureBack-End Web DevelopmentBootstrapC (Programming Language)Cascading Style Sheets (CSS)ConcurrencyCore JavaCritical ThinkingCustomer ExperienceData StructuresDatabases

About

I'm a Software Engineer, I'm also a sportsman, and play dynamic team sport like basketball, leveraging teamwork and coordination to achieve collective goals. I'm also a badminton player, learning from coaches and honing individual skills to excel independently. Just as in sports, I thrive in collaborative environments, contributing my technical expertise while embracing opportunities for personal growth. My adaptability and willingness to learn make me an asset to any team, where I aim to score big in achieving our shared objectives. Let's rally together and achieve greatness in our endeavors

Experience

4 yrs 6 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 yrs 1 mo

Current Experience

Copart

Software Engineer

May 2024 – Present · 2 yrs 1 mo · India · Hybrid

Kyc hub

Software Engineer

Dec 2021 – May 2024 · 2 yrs 5 mos · Hyderabad, Telangana, India · Remote

Develop APIs for KYC (Know Your Customer) processes, integrating both internal and third-party methods for enhanced user verification and compliance.
Engineered subscription and invoice modules by implementing scheduling, concurrency models, and multithreading to optimize cost deduction processes and automate workflow.
Created various Optical Character Recognition (OCR), computer vision, and cloud-based applications leveraging Google Cloud and Azure services for advanced data processing and analysis.
Utilize Microservices architecture, employing REST templates and WebClient for efficient communication and data transfer between projects, ensuring code reusability and system integrity.

APIsKYCMicroservicesRESTOptical Character RecognitionCloud Applications+2