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Maliha SanjanaMS
Open to opportunities

Maliha Sanjana

@malihasanjana

I build computer vision and machine learning pipelines for medical imaging and real-world prediction problems.

Bangladesh
Message

What I'm looking for

I'm looking to build scalable, explainable AI solutions for real-world problems, particularly in computer vision, medical imaging, and end-to-end machine learning development.

I've built and evaluated machine learning and deep learning models at Neurootix across diverse computer vision datasets, contributing to model selection, pipeline refinement, and research-driven AI development.

My work includes fine-tuning MedSAM ViT-B for FLARE22 liver tumor segmentation, where validation Dice reached approximately 0.84 and accuracy approximately 0.98. I've also developed diabetic retinopathy segmentation models, PlantVillage crop disease classifiers, and a heart disease prediction pipeline.

I pair AI development with practical product work, including responsive web applications and a browser-based phishing detection dashboard. I also lead hands-on Python and image-processing workshops that connect theory with deployment.

Experience

Work history, roles, and key accomplishments

NE
Current

AI/ML Engineer

Neurootix

Aug 2025 - Present (1 year)

Designed, tested, and evaluated multiple machine learning and deep learning models across diverse computer vision datasets. Conducted applied experiments aligned with ongoing AI projects, contributing to model selection, pipeline refinement, and research-driven development. Directed technical skill development workshops on Python and Image Processing.

BC

GenAI Job Simulation

May 2025 - May 2025 (0 months)

Built a rule-based chatbot prototype to interpret financial data from 10-K and 10-Q reports. Processed structured financial datasets and generated user-friendly outputs.

Education

Degrees, certifications, and relevant coursework

NB

Northern University Bangladesh

Bachelor of Science, Computer Science and Engineering

2021 - 2025

Grade: 3.669/4.0

Pursued a Bachelor of Science in Computer Science and Engineering, achieving a CGPA of 3.669 out of 4.0.

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