Manvi Sharma

Manvi Sharma

Decade of engineering experience at AWS, Workday, and IBM, leveraging a systems-first mindset to deploy high-impact Machine Learning solutions.

From 91.6% brain-tumor classification to real-time industrial anomaly detection across 200+ sensors - I combine deep engineering experience with applied ML to ship models that matter.

91.6% MRI AccuracyReal-Time Anomaly DetectionClinical NER · 0.82 F1
Open to ML Engineer & Data Science roles – 2026
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Featured Projects

200+Sensors · Real-time ML

Methanex Anomaly Detection

Early-warning ML system for industrial process failures - detects sensor anomalies across 200+ channels before they escalate, combining Isolation Forest, LSTM, and Autoencoder ensembles with a Gemini-powered chat interface for operator insights.

PythonIsolation ForestLSTM AutoencoderTime Series+4
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91.6%Accuracy · +21% over baseline

Brain Tumor Classification from MRI Scans

Clinical decision-support system achieving 91.6% accuracy on 4-class brain tumor classification - a +21.35% improvement over baseline using transfer learning with EfficientNet-B3 and a custom medical image preprocessing pipeline.

PythonPyTorchComputer VisionMedical Imaging+3
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0.82 F1Entity Extraction · BioBERT

Clinical NLP NER

Automated extraction of medical entities from clinical notes - fine-tuned BioBERT achieves 0.82 F1 on disease/medication/procedure extraction, accelerating chart review and supporting clinical decision-making.

PythonNLPBioBERTSciBERT+3
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