Vamsi Saladi

Chief Technology Officer

Contour (YC S23) · Manhattan, New York, United States

Present

I believe voice agents are the future and will greatly reduce the need for outsourced call centers and reduce the risk of customer complains and compliance transgressions.

Data Scientist

Rocketship.vc · Los Altos, California, United States

Software Developer

Hypeshot

Helped develop a React based application as a Google chrome extension that allows users to stream, customize, and watch live streams of games and connect their preferences to exterior applications. Worked specifically on scraping data from web sources, connecting back end infrastructure to the front end display and managing the AWS infrastructure necessary to support the application.

Course Assistant

Stanford University · Stanford, California, United States

Course Assistant for CS 236: Deep Generative Models and CS 236G: Generative Adversarial Networks

Software Engineer Intern

Amazon Web Services (AWS) · Seattle, Washington, United States

Developed an Amazon Lambda Service that aggregates data concerning Guardrail (custom security features that can be applied to AWS Organizational Units) usage in AWS Control Tower environments and consolidates the data to account for changes in time, regions and specifications of the users accounts to provide insightful information about what guardrail specifications a customer should considering applying in a given instance

Ai Fellow

UnifyID · Redwood City, California

Worked on using neural networks and machine learning to help implement useful and practical implicit authentication. Using gait, finger movements, and usage patterns, we developed a neural network that could effectively and practically serve as a tool for implicit authentication of mobile devices.

Artificial Intelligence Researcher

Polarr · San Francisco Bay Area

Developing machine learning models to help photo editors take advantage of advances in generative adversarial networks to help edit facial features. Primarily focused on helping generate new, realistic and high-resolution open eyes to replaced closed eyes in group photos or feature photos, and make cosmetic edits like gaze adjustment and blending of generated image.

Computer Vision and Nlp Researcher

Stanford University · Stanford, CA

Work with massive video datasets to help develop fast and scalable query-answering AI agent based on tone of speakers and facial expressions, along with other vision, speech, and text-based queries.

Computer Vision Research

Stanford University

This project was an attempt to build a commercial product that could help users with aesthetic rankings of pictures and help them decide which image or images could yield the highest interaction rates on social media. Starting with simple techniques like KNNs and regression, we developed innovative methods (like the use of Markov Decision Processes) and CNNs to build a model that could help people and enterprises more effectively leverage their social media presence.

Nlp Research

Stanford University

This project was an attempt to use NLP techniques to further the field of automated semantic understanding and scoring. We used standard NLP techniques like the use of LSTM networks, and supplemented it with novel approaches like the recurrent highway network in an attempt to add literature to this growing field.

Computer Vision Researcher

Stanford University

Conducted research on using biological models to improve the architecture and accuracies of networks that classify and recognize images. We attempted to transform the human retina into a neural network using ideas like the rods and cones to see if we could provide any reasonable boost in how neural networks classify images.

Software Developer

AmerisourceBergen · Chesterbrook, PA

I was in charge of developing a Javascript application to allow the creation of database of project times based on project complexity so that we could project time frames for future projects based on complexities.

Research and Development Intern

Personnel Data Systems, Inc (PDS) · Blue Bell, PA

Using SQL, learned to help create, manage, and search HR databases and compile information for linking tables and having front-end functionalities for HR software customers.