Aman Kumar

Senior Software Engineer

Noida, Uttar Pradesh, India5 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable data pipelines and microservices.
Proficient in cloud deployment and backend development.
Passionate about leveraging technology for positive impact.

Stackforce AI infers this person is a Backend-focused Software Engineer in the SaaS industry.

Contact

Skills

Core Skills

Data PipelinesMicroservicesBack-end DevelopmentCloud Computing

Other Skills

Data IngestionProcessing pipelinesMicroservices architectureRequirements gatheringSnowflakeHevoCore-Vision product module backendAI model integrationAPI designDB designDevOpsCloud deploymentPythonJavaSpring Boot

About

I am software enthusiast who loves to learn new things, be it anything. I code, read, model 3d. I enjoy working on projects that require me to work outside my comfort zone. I also make software applications which help people in a positive way. I am motivated by legends like Steve Jobs, Akio Morita, Dr. Abdul Kalam. "Those who are crazy enough to think they can change the world usually do" + "Stay hungry, stay foolish" + "Small aim is a crime; have great aim"

Experience

5 yrs 10 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 9 mos

Current Experience

Level ai

Senior Software Engineer

Sep 2024 – Present · 1 yr 9 mos · Noida, Uttar Pradesh, India · Hybrid

1. Developing and maintaining Data Ingestion and Processing pipelines in distributed microservices architecture.
2. Requirements gathering with customer related to integration of third party Contact Centre tools like Zendesk, NICE, Salesforce etc.
3. Data Export of insights generated in-house using Snowflake and Hevo.

Data IngestionProcessing pipelinesMicroservices architectureRequirements gatheringSnowflakeHevo+2

Ripik.ai

Back End Developer

Jun 2023 – Aug 2024 · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site

1. Built from scratch Core-Vision product module backend, complete with AI model integration, API and DB design.
2. Maintained, added new features to the product and worked on the Devops and Infra for Application deployment.
3. Built from scratch: AI Studio application, and handled its upkeep and cloud deployment.
4. Python, Java, Spring Boot, AWS, Azure, Mongo Atlas, PostgreSQL

Core-Vision product module backendAI model integrationAPI designDB designDevOpsCloud deployment+9