AI Application Engineer

D

Oct 2020 – Jan 2022

• Developed a resume recommendation system that matched candidates to jobs and consultants using ML-based similarity modeling.
• Designed and built a resume parsing API leveraging NLP and ML techniques to extract structured data from unstructured resumes.
• Implemented Skills2Vec, a Word2Vec-based skill similarity model trained on large-scale scraped job data, significantly improving recommendation relevance.
• Built search and autocomplete systems using MongoDB Atlas indexes to support consultant search and job discovery.
• Performed feature engineering and data preprocessing using Pandas, NumPy, and scikit-learn.

Tech Stack: Python, NLP, Machine Learning, Flask, Word2Vec, MongoDB, Azure