Intro
As the Chief Technical Officer and founding member of MultiOn Inc., I specialize in AI-driven web and mobile technologies. My journey began with a BS in Computer Science from Binghamton University, where I consistently achieved high academic honors. I am highly self-motivated, a quick learner, and have a passion for problem-solving and connecting with people.
Professionally, I've developed a comprehensive mobile app that enables seamless interaction between users and AI agents, significantly automating workflows and enhancing digital communication. I forged a strategic partnership with Amazon Alexa, integrating our MultiOn Agent into Alexa devices. My roles have included directing the reinforcement learning and fine-tuning of open-source models to improve our AI agents' performance and reliability.
Before MultiOn, I worked as a Software Development Engineer at Amazon Audible, leading critical features for the iOS app, and at Pocket Gems, where I enhanced gaming applications for iOS and Android. At Delta Airlines, I developed features for the Fly Delta mobile app, improving customer experiences. These experiences have equipped me with a diverse skill set, enabling me to lead high-impact projects that push the boundaries of AI and technology.
Experience
MultiOn AI
Chief Technical Officer & Founding Member
August '23 - Present
- Developed an advanced remote browser agent for automating web actions, creating the "Large Action Model" (LAM) for scalable AI tasks.
- Led the development of the MultiOn iOS app, providing users with AI-driven task automation.
- Launched an AI-powered browser extension with 20,000 active users.
- Built scalable backend infrastructure and APIs for seamless AI integration across digital platforms.
- Fine-tuned AI models and implemented RLHF to improve AI performance and accuracy.
- Directed a dynamic team in agile development, aligning technological advances with strategic business goals.
- Judged major hackathons and presented at prestigious AI events, enhancing thought leadership and community engagement.
Amazon Audible
Software Development Engineer
November '22 - August '23
- Designed, developed, tested, and maintained various features of the Audible iOS app.
- Implemented a recommendation engine, improving user engagement by 25%.
- Utilized Swift, Objective-C, UIKit, Core Animation, Core Data, and SwiftUI.
- Worked with product managers, UX/UI designers, and QA engineers in an agile environment.
- Conducted code reviews and mentored junior engineers.
- Enhanced app performance and reliability using efficient algorithms and best practices.
Pocket Gems
Software Engineer
May '22
Working as a Software Engineer on Adventure Chef game on iOS/Android with 200K+ downloads. Developed user facing in-game features to improve Ads monetization and user retention by 2X. Fixed critical gameplay-breaking bugs and added performance enhancements ensuring smooth experience for live games. Utilized C#, JavaScript, Python and Unity framework for game development.
Tata Consultancy Services (TCS)
Software Engineer
Sept '21 - April '22
Working as a Software Engineer for a major project with Delta Air lines. Implemented innovative solutions for Delta's iOS App to improve flight bookings, cancellations and increase user productivity by 50% (Swift, XCode). Designed automation testing for iOS and Android for critical workflows.
EDGE by Zag Labs LLC
Software Developer Intern
Summer '20
Designed a dynamic website for shopping and ordering company products. Developed using Node.js modules and AngularJS web framework to enhance functionality and user experience on web pages.
CV Research
Aug '18 - May '20
Researched visual signal analysis for machine learning-assisted speech detection through lip-reading using Convolutional Neural Networks (CNNs).
Binghamton Mars Rover
Sept '18 - May '20
I worked with a Binghamton ACM project team to build a rover to compete in the University Rover Challenge in Utah. I helped build autonomous systems using Computer Vision to achieve object detection to achieve obstacle detection and terrain mapping to improve navigation abilities of the rover.
Education
Binghamton University
Bachelor's Degree, Computer Science
Projects
Sentiment Analysis System
Developed a text-based sentiment analysis system using RoBERT Transformer model utilizing Python and PyTorch framework. Trained the model on a 20K emotion dataset to recognize sentiment on any text dataset: Happy, Sad, Love, Anger, Fear, and Surprise. Achieved a final test accuracy of 94%.
Stock Price Predictor
Designed a future stock price prediction system deploying CNN (Convolutional Neural Network) and LSTM (Long Short Term Memory RNN) trained on a 16K historic stock price time-series dataset to predict future closing stock prices of companies listed in NASDAQ. Achieved accuracy of 95.
Video Streaming App
Developed iOS mobile application to help users learn new techniques and refine basic management skills to increase their productivity utilizing Swift-5, Xcode, AV Foundation, AV Kit, UI Kit iOS Frameworks, and MVC architecture . Implemented secure log-in procedures with username, password, touch id, and face id. Published the app on Apple App Store.
Delivery Management app
Developed iOS mobile app to provides easy access to parcel status and data and real-time updates from the field. Utized Swift-5, XCode, Cocoa Touch, Cocoa Pods, Storyboards, and Multithreading . Implemented MVVM design pattern and performed Unit Test. Deployed application to the Apple Store.
Distributed Key-Value Store
Built a NoSQL Distributed Key-Value store like Facebook’s paper on Cassandra Database with configurable consistency, following principles of CAP theorem. Implemented features such as configurable consistency for read/write operations, fault tolerance by implementing hinted handoff and log-based failure recovery ensuring high availability even during the failure of multiple servers. Utlized Java, Apache Thrift, Protocol Buffers.
Online Spreadsheet
Built a full stack web app to allow users to simulate a dynamic and interactive excel like spreadsheet, utilizing JavaScript, Node.js. React.js, express.js, REST API and MongoDb, which performed all basic functionalities such as copy, delete, update, support formula (using Abstract syntax tree) and replicate for better fault tolerance.
Face Recognition
Built a face recognition system using a 16 layered ConvNet trained on a 200K image dataset to learn face embeddings and recognize faces on any custom data. Acheived accuracy of 97% on LFW dataset.
Critter World Project
Created distributed and concurrent simulation of world containing creatures (critters) able to move, reproduce and evolve. Used Abstract Syntax Trees as genome for critters, and added fault injections for genome mutations. Finished with a nice GUI front-end written in JavaFX.
Awards
- Cum Laude Honors (2021)
- Dean’s List (All Semesters)
- Binghamton Scholar's Group (2018)
- President's Scholarship at Binghamton University (2018)
- Best Science Student Award (2018)