Mehvish idrisi

Software Engineer

Delhi, India2 yrs 11 mos experience

Key Highlights

Stackforce AI infers this person is a skilled AI and Software Engineering candidate with a focus on automation and deployment.

Python (programming Language)Kubernetes

IngresDockerJenkinsAzure Kubernetes Service (AKS)HTMLWeb DevelopmentTeam ManagementC++

2 yrs 11 mos

Total Experience

1 yr 4 mos

Average Tenure

3 mos

Current Experience

Jan 2026 – Present · 3 mos · Bengaluru, Karnataka, India · On-site

Jun 2025 – Dec 2025 · 6 mos · Noida, Uttar Pradesh, India · On-site

During my internship at Times Internet, I worked closely on building and automating AI-driven pipelines end to end. My role involved debugging models and systems at different stages, automating workflows to make the pipelines more reliable, and understanding how AI solutions move from development to production.
I gained hands-on experience in running and monitoring complete pipelines in production environments, ensuring stability, performance, and quick issue resolution. Working in a fast-paced and pressurized setup helped me improve my problem-solving skills, debugging efficiency, and decision-making under tight timelines.
Overall, this experience strengthened my understanding of AI automation at scale, real-world production deployment, and how robust systems are built and maintained beyond just model training.

Python (Programming Language)IngresDockerJenkinsKubernetesAzure Kubernetes Service (AKS)

Jan 2025 – Apr 2025 · 3 mos · Netaji subhas university of technology · On-site

Oct 2024 – Dec 2024 · 2 mos

Developed and successfully deployed a Space Traffic Density Prediction Model using ML & AI to analyze and forecast satellite and debris movement. Worked on data preprocessing, predictive modeling, and deep learning algorithms to enhance accuracy. Gained hands-on experience in cloud deployment and AI-driven forecasting, contributing to space traffic management solutions.