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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 2 months)

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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