Experience

Lauretta.io

• Singapore
• Technology, Information and Internet
• 1 - 100 Employee

• Machine Learning Engineer

  • Jan 2023 - Present

  Austin, Texas Metropolitan Area



The Johns Hopkins University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Oct 2021 - Dec 2022

  Baltimore, Maryland, United States VectorCam ● Developed image classification models for the speciation of mosquitoes to address a public health challenge. ● Accomplished a proof of concept by deploying the models on an Android app and testing it in Zambia. ● Rapidly retrained and tested models during field data collection achieving high accuracy of ~90 percent.

• Student Developer

  • Aug 2021 - Jun 2022

  Baltimore, Maryland, United States ● Created Computer Vision models to help visually impaired people navigate to storefronts and bus stops. ● Trained door detection model using YOLO and successfully tested it on a TensorFlow lite embedded system. ● Programmed a robust text detection and recognition pipeline for storefronts with accuracy above 95 percent.

• Research Assistant

  • Aug 2021 - May 2022

  Baltimore, Maryland, United States PULSE Lab ● Utilized Deep Learning to decrease computation time by 25 percent and improve ultrasound beamforming. ● Simulated and analyzed 100 Ultrasound imaging data using several toolboxes in MATLAB for model testing. ● Worked on improving challenges of Autoencoder and Generative Adversarial networks for ultrasound imaging.



SRI

• United States
• Research Services
• 700 & Above Employee

• Computer Vision Research Intern

  • Jun 2022 - Aug 2022

  Princeton, New Jersey, United States • Developed multiple video data pre-processing pipelines for human behavior assessment using Python. • Analysed and processed 1 terabyte of video data for model development. • Implemented 8 video classification models ranging from RNNs to state-of-the-art video action recognizers.



SOIL - School of Innovation and Leadership

• India
• Research Services
• 1 - 100 Employee

• AI/ML intern

  • Jul 2021 - Aug 2021

  Hyderabad, Telangana, India • Implemented Optical Character Recognition model using OpenCV for text recognition in images. • Implemented text similarity API using Spacy and BERT recommendation model. • Worked on a full-stack web application for a book recommendation system.



Indian Institute of Science (IISc)

• India
• Research
• 700 & Above Employee

• Research Intern

  • Jun 2020 - Jan 2021

  Bangalore Urban, Karnataka, India • Developed an Autoencoder model for Novelty Detection using Pytorch which successfully solved a limitation and has produced state-of-the-art results in 3 out of 4 experiments. • Using the concepts learned during the thesis, implemented a unique way of classifying benign and malignant tumor images. • Established 4 baselines from existing research work in Novelty Detection, Open Set recognition, Domain Adaptation/Generalization and modified them to improve the results.



CIE IIIT Hyderabad

• India
• IT Services and IT Consulting
• 1 - 100 Employee

• NLP Intern

  • Jun 2019 - Jul 2019

  Hyderabad, Telangana, India Worked on projects under the guidance of an NLP Startup in the CIE incubator with an aim of gaining experience in python and machine learning. • Started my internship by completing upload-download web tasks using the Flask framework of Python. • Completed Natural language processing tasks- Sentimental analysis, Text Summarization, and classification using Spacy and Pytorch frameworks.