Open to opportunities

Mohammed Abbas

@mohammedabbas1

Message

AI & Data Science engineer skilled in MLOps, cloud-native systems, and applied machine learning.

India

Message

What I'm looking for

I seek roles where I can build production ML systems and scalable cloud-native services, contribute to CI/CD and MLOps, and grow within collaborative, impact-driven engineering teams.

I am a B.E. candidate in Artificial Intelligence and Data Science with a strong foundation in systems programming, cloud-native development, AI/ML/DL, and DevOps practices.

I have built multi-threaded C/C++ systems, end-to-end MLOps pipelines with CI/CD, and deployed real-time inference APIs using FastAPI, Docker, GitHub Actions, AWS, and MongoDB Atlas.

My hands-on projects include a C++ web server using WinSock, Reddit sentiment analysis with Python/R and NLP toolkits, and a vehicle insurance prediction pipeline covering ingestion, validation, training, and deployment.

I collaborate effectively across product lifecycles, lead outreach and publicity initiatives, and publish technical work such as an IEEE review paper and a browser extension; I focus on delivering scalable, reproducible solutions and measurable impact.

Experience

Work history, roles, and key accomplishments

Current

Data Annotation Intern

Current

Turing

Aug 2025 - Present (3 months)

Annotated and analyzed large-scale image and video datasets to support computer vision model training, ensured high labeling accuracy through consistency checks and feedback loops, and contributed to data preprocessing and model evaluation workflows.

Data Annotation Computer Vision data preprocessing Python Data Analysis Model Evaluation