Devesh Vyas

Full Stack Engineer

Bangalore, Karnataka, India9 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

6+ years of full-stack development experience.
Expertise in building scalable software systems.
Proficient in cloud technologies like AWS and Azure.

Stackforce AI infers this person is a Full Stack Engineer with expertise in Automotive Technology and Virtual Reality.

Contact

Skills

Core Skills

Full Stack Development

Other Skills

Node.jsReact.jsAWSAzureBackend DevelopmentFrontend DevelopmentMobile App DevelopmentMongoDBKubernetesJavaMachine LearningSQLAndroid DevelopmentWeb DevelopmentHTML

About

Technology || ADAS || Intel || AI Full Stack Engineer with experience in designing and developing software systems from scratch, which gives me a clear picture of the entire ecosystem. ★ 6+ years of being a full-stack developer, designing and implementing scalable software systems for a whole range of domains. ★ 2+ years of being a big data engineer, designing and implementing analytics services for various domains.

Experience

9 yrs 6 mos

Total Experience

4 yrs 9 mos

Average Tenure

5 yrs 11 mos

Current Experience

Intel corporation

2 roles

Senior Full Stack Engineer

May 2020 – Present · 5 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

At Intel, we are currently building the next generation of smart mobility - Intel® Onboard Fleet Services.

Node.jsReact.jsFull Stack Development

Graduate Technical Intern

Sep 2015 – Sep 2016 · 1 yr · Bengaluru Area, India

At Intel, I was working with the IOT Group; As a part of this role, I implemented several pocs in IOT cloud security, android, and web applications.

Kalpnik technologies pvt ltd

Software Engineer

Sep 2016 – Apr 2020 · 3 yrs 7 mos · Bengaluru Area, India

At Kalpnik, we were using the power of Virtual and Augmented Reality to revolutionize the way people connect with their faith. As a full-stack engineer, my responsibilities were developing backend, frontend, and mobile app.
My team and I used to do the following daily:
1. Selecting the right technology and cloud tools to build media streaming services that scale to the growing viewers of our platform.
2. Design DB and caching models for rest services to ensure we can handle the growing load of daily active users. Our deployment was across AWS and Azure, leveraging the power of both for appropriate pieces of our software.
3. Discuss, decide and implement User Interfaces in the nascent yet exciting realm of VR.