Welcome to my page

With the help of a number of internships and projects, I have been able to acquire the essential skills of the industrial world with excellence.

ML and Software Engineer at Tangible AI

• Building Conversational AI for Non-profits and Social impact companies.
• Using Qary framework, BERT, Sentence-BERT, Spacy, ALBERT, GPT-3, GPT-J, AWS cloud solutions, and other relevant ML tools.

NLP and Software Engineer at Viva Translate

• Working on NLP libraries to aid Machine Translation for legal and healthcare services and deployed on Cloud platforms.
• Built Machine Learning models, carried out measurement of baseline accuracies of different APIs, aided sentence simplification, grammar tools, and built custom chat apps.
• Built end-to-end solutions and CI/CD pipelines on a REST framework using Django and FastAPI.

NLP Intern at Tangible AI

• Built Conversational AI for History students
• Developed NLP models using Qary and used Streamlit for Frontend development.
• Worked on developing NLP backend for Qary framework using BERT, Sentence-BERT, Spacy, ALBERT, and other Huggingface Transformers.

Open Source Developer at Tangible AI

• Added new features to the Qary framework.
• Used BERT, ALBERT and Spacy to accomplish better functionality of the chat feature.

Chief Engineer at Clevrly

• Assisted in developing NLP models for Open Domain Answering, Named Entity Recognition, Text Summarization, Topic Modelling and POS tagging.
• Used Flask, React, Streamlit for website development, and NLTK, BERT, Pegasus, Tensorflow, Pytorch, Hugging Face Transformers for Data science models.

Software Engineering Intern at Zefyr

• Developed a social media application for a San Diego Startup.
• Used Unity 3d along with Mapbox, and aided in design and user experience of the application.

Top Emerging Talent Program at Pangea.app

Among the top 5% of CS students

AI intern at HMS Baytech

• Built a Fashion design software for consumers to try out clothes in a virtual showroom.
• Developed using Unity 3d and integrated Motion capture using Tensorflow and VIBE dataset.

Open Source Developer at OpenSource@UCSD

• Involved in building an automated Flashcard app called Ruff for UCSD students.
• Developed using NLTK, Spacy, Pdfminer and Streamlit.
• Source Code - https://github.com/os-ucsd/ruff

ML and Android Intern at Happiest Minds Technologies

1) Package label processing app
• Built a document analysis app which takes package label images as input and recognizes the regions of “from address” and “to address”.
• Built using Android Studio using Firebase ML Kit’s Text Recognition API and Geocoder API from Maps SDK to identify addresses.
• Source code - https://github.com/Vishvesh8/PackageLabelReader

2) Dent Detection in Cars using image processing
• Built a website which recognizes the regions on dents given an image of a car. • Built using Flask,HTML,Digital Ocean and Tensorflow ,Mask RCNN.
• Source Code - https://github.com/Vishvesh8/VehicleDamageDetection

3) NLP Chatbot for Car Dealership companies
• Used NLKTK and Tensorflow 2.2.0 to create a Machine Learning Chatbot to answer customer queries.
• Source Code - https://github.com/Vishvesh8/ChatbotForCarDealerships

Game Development and AI Intern at iGamez

• Built a Horse Racing Game to be used for Virtual gambling market.
• Used Unity 3d for Game Development and ML agents(with Tensorflow) to coordinate the paths of the horses.
• Used Blender for 3d modelling and texturing like the horses, racing track etc.

Vishvesh Bhat