Lakhanveer Lodhi

Leading the AI/ML developments. Contributing in the capability enhancements of the Jugalbandi API. Also developing the roadmap for the AI based web application for the documents verification.

Part of the Machine Learning team which acts as consultants to different clients for Quantiphi. Developed and deployed an NLP model with 89% accuracy to predict intents and slots. Developed a machine learning model to identify business fields with 84% accuracy. Developed a Loan Bot to dynamically generate pre-qualification letters. Worked on Topic modeling and intent identification using TF-IDF, LDA, BERT, and K-Means clustering. Developed a POC for language detection (Hindi/English) using MFCC features. Delivered a 2-day workshop on AWS Sagemaker.

Gained hands-on experience in Natural Language Processing and Traditional Machine Learning. Contributed to various model building phases including data gathering, cleaning, preprocessing, feature engineering, model creation and inference.

Contributed in the development of Face Recognition Technique for automating the attendance management system. Conducted research for development of Depression Detection Model.