yom nigam

Software Engineer

New Delhi, Delhi, India4 yrs 8 mos experience

Key Highlights

Lead developer for AI-driven TV browsing solutions.
Expert in Java and Spring Boot for backend development.
Proven track record in optimizing API performance.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS solutions and cloud integration.

Contact

Skills

Core Skills

JavaSpring BootC++

Other Skills

AWSRedisPythonAngularAWS Certified Solutions Architect AssociateJUnitMockitoJenkinsSoftware InfrastructureServer SideFront-End DevelopmentAmazon Web Services (AWS)TypeScriptCObject-Oriented Programming (OOP)

About

Experienced Lead Backend Software Engineer with 4+ years at Samsung Research and Development Delhi, adept in Front-end development using Angular, TypeScript, coupled with Back-end proficiency in Spring Boot, Java along with AWS cloud. Skilled in JUnit and Mockito testing frameworks. Postgraduate from IIT Guwahati Computer Science Stream in 2020.

Experience

4 yrs 8 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Samsung india

Lead Back End Developer

Jan 2024 – Present · 2 yrs 4 mos · Delhi, India · On-site

Project:- Click to Search
Click to Search offers contextual search and recommendations through screen recognition, enhancing viewer engagement with relevant content for a seamless AI-powered TV browsing experience.
Lead the design, development, and deployment of a scalable OPEN API module, and integrate with third-party applications to make it in line with our business logic.
Optimized read-heavy workflows with a Redis cache, cutting API response time by 60%.
Implemented the circuit breaker patterns and fallback mechanism using spring boot Resilience4j.
Integrate and work on multiple AWS Services Rekoginition, Bedrock, Translate and other third party data services like Wiki-data, TheTake (https://thetake.ai/) to enhance AI-driven capabilities and user experience.
Project:- Chat Together
Developed Chat Together, an interactive TV platform for live stream conversations, designing scalable
microservices with Java Spring Boot, Python, Angular, and Restful services, collaborating across teams.
Designed the architecture and Cloud-Formation template to streamline the end-to-end deployment process to expand our service into multiple regions on AWS.
Implemented the real-time chat streaming pipeline for analysis with the help of AWS Kinesis, Chime and Glue.
Built a chatbot using AWS Bedrock Generative AI, boosting the engagement of the platform user by 20%.

JavaSpring BootAWSRedisPythonAngular

Indian institute of technology, guwahati

2 roles

Research Internship

Promoted

Jul 2020 – Nov 2020 · 4 mos

Developed an obfuscation tool that makes the RTL secure by applying the obfuscation at the front end which secures all the important information of design present at control, operation, and constant level without changing the source code of the HLS tool.

C++