Skilled data scientist with expertise in Computer Vision, Machine Learning, and Artificial Intelligence applications.

Proficient in Python libraries such as PyTorch, TensorFlow, OpenCV, Pandas, NumPy, and Ultralytics.

Experienced in building and optimizing AI/ML models for various products and applications.

Notable achievements include:

1. Built an

(a) instance segmentation model,

(b) Object Detection model

(c) Image Classification model

for kids' drawings and handwriting, enabling symptom recognition through analysis of drawing elements.

2. Collated and validated 257 million data points across 88 schools, demonstrating strong data mining and extraction skills.

3. Led a proof-of-concept (POC) on handwriting curriculum design, developing AI models to assess and improve handwriting legibility and speed in children.

4. Built and Deployed 80+ AI/ML models on both kids' drawing and handwriting symptoms to production servers using FastAPI, ensuring efficient model integration and delivery.

5. Created psychological math content for MathLemon (application for mathematics for kids) , leveraging prompt engineering and AI assistants like Claude.

Equipped at collaborating with cross-functional teams, including psychologists, backend developers, and product managers.

Committed to driving impact through data-driven solutions and continuously expanding knowledge in the rapidly evolving field of data science and analytics.