
Mohammed Saajid S
@mohammedsaajids
I build real-time AI inference systems, computer vision pipelines, and high-performance backend APIs.
What I'm looking for
I've built real-time AI systems spanning computer vision, language-model inference, and molecular synthesis. At Zummit Infolabs, I engineered an OpenCV pipeline for continuous live-video inference and trained image-classification CNNs with TensorFlow and Scikit-learn.
My projects include a Triton and gRPC YOLO inference backend running at 28.11 FPS, a FastAPI service handling 132.8 RPS, and a Rust edge inference server with real-time token streaming. I enjoy optimizing model deployment, latency, data flow, and reliable production APIs.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Zummit Infolabs
Nov 2024 - Mar 2025 (4 months)
Engineered a real-time computer vision pipeline using OpenCV for continuous model inference on live video feeds. Trained and validated a baseline CNN for image classification, establishing automated preprocessing and scaling workflows.
Education
Degrees, certifications, and relevant coursework
Saveetha Engineering College
Bachelor of Technology, Computer Science and Engineering (AI and ML)
2023 -
Grade: 8.2/10
Pursuing a B.Tech in Computer Science and Engineering with a focus on AI and ML, maintaining a CGPA of 8.2/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/mohammed-saajidSalary expectations
Job categories
Skills
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