Vineet Haswani Email & Phone Number

Bengaluru, Karnataka, India

• Developed and implemented a comprehensive pipeline that extracts attributes from aerial imagery, such as Digital Surface Model (DSM), Solar Access Value (SAV), Pitch, and Azimuth. This innovation reduced processing.
• Developed and implemented a quality check (QC) mechanism to filter out poor-quality images and monitor real-time model accuracy.
• Implemented an auto-alignment mechanism for vertical alignment along the z-axis, significantly reducing misalignment in subsequent processes.
• Working on a 3D roof modeling solution using aerial imagery, aiming to reduce manual modeling time from 30 minutes to just 5 seconds.
• Implemented a RAG mechanism on SQL data to extract information using prompts.

Bengaluru, Karnataka, India

• Developed an end-to-end pipeline for solving the problem of named entity recognition (NER). The pipeline includes data collection, data annotation, data preprocessing, model creation, and model deployment.
• Handled SQL and No-SQL databases which were further deployed to AWS RDS and AWS Keyspaces (Cassandra).
• The TensorFlow models were deployed using the TensorFlow Serving framework on a separate server.
• The scikit-learn model was deployed using AWS sagemaker.
• Used apache airflow for workflow management and monitoring.

Bengaluru, Karnataka, India

• Developed a deep learning model and dataset from scratch for named entity recognition (NER) problem.
• The model was built using the TensorFlow framework that was capable of producing a 0.91 f1-score on our test set.
• The dataset annotation was done using doccano tool (open source web application for NLP).