Dhananjay Dubey

Dhananjay Dubey

About

Detail

United States

Contact Dhananjay regarding: 
work
Full-time jobs

Timeline


work
Job
school
Education
folder
Project
auto_stories
Publication

Résumé


Jobs verified_user 0% verified
  • P
    Web Developer
    PlanetWise Solution
    Sep 2025 - Jul 2026 (11 months)
  • New Jersey Institute of Technology
    Graduate Teaching Assistant
    New Jersey Institute of Technology
    Mar 2025 - May 2025 (3 months)
    Assisting in teaching Software Architecture, grading assignments, and resolving student queries.
  • Google Developer Groups on Campus  New Jersey Institute of Technology
    Technical Director
    Google Developer Groups on Campus New Jersey Institute of Technology
    Jan 2025 - May 2025 (5 months)
  • Google Developer Groups on Campus  New Jersey Institute of Technology
    Technical Lead
    Google Developer Groups on Campus New Jersey Institute of Technology
    Oct 2024 - Dec 2024 (3 months)
    Lead workshops and events to promote technology learning and collaboration within the NJIT community.
  • New Jersey Institute of Technology
    Research Assistant
    New Jersey Institute of Technology
    Jun 2024 - May 2025 (1 year)
    🔹 Overview
    I developed an AI-driven Mixed Reality application for HoloLens 2, integrating YOLO object detection and Meta’s LLaMA AI to create a real-time, immersive AI assistant. The system enables visual and conversational interaction with objects in the environment using speech, gaze, and gestures.

    🔹 Key Features
    ✅ Real-time Object Detection using YOLO, processed externally for efficiency.
    ✅ AI-Powered Object Descriptions with LLaMA, generating natural language insights.
    ✅ Immersive MR Interface: 3D bounding boxes, speech bubbles, and spatial UI.
    ✅ Hands-Free Interaction: Speech recognition, eye tracking, and gesture control.
    ✅ Optimized Performance: Efficient cloud processing via Ngrok & Flask A
  • KNS Technologies
    Unity Developer
    KNS Technologies
    May 2023 - Jul 2023 (3 months)
    Built physics-based co-op game Kitchen Chaos using Unity Netcode for GameObjects (NGO) to provide server-authoritative movement and interactions and Engineered high-performance WebGL and OpenGL pipelines
  • Matrix HR Technologies
    Unity Developer
    Matrix HR Technologies
    Jan 2023 - Apr 2023 (4 months)
    Unity Developer
  • Byjus
    Software Engineer
    Byjus
    Jul 2021 - Nov 2022 (1 year 5 months)
    - Media & Video Engine Optimization: I took complete ownership of the media and video engine re-architectures to create a unique Player Pooling framework with Java/Kotlin languages, leading to 40% reduced CPU usage. The Exoplayer engine was updated for the incorporation of advanced reactive event streams via Kotlin Coroutines/RxJava. On lower-end hardware, you enforced efficient use of the SurfaceView rendering approach, while tuning the DefaultLoadControl parameters resulted in a 65% decrease in the rebuffer rate.
    Forensic Profiling & UI Refactoring: I oversaw the forensic UI rearchitecture through the application of architectural design patterns to isolate the video rendering component from the core logic. These optimizations were pe
  • Language Your Way  ABC Quest
    Senior Unity Developer
    Language Your Way ABC Quest
    Jun 2020 - Jul 2021 (1 year 2 months)
    - Developed multiplayer educational games using the Photon plugin to facilitate real-time, multi-user classroom
    simulations.
    - Developed in-house native plugins for iOS and Android using C++ and Metal to provide low-level support for
    animation re-targeting and spatial simulations.
    - Implemented procedural rigging and animation techniques to increase deformation realism for 3D avatars, boosting user engagement by 30%
    - Integrated WeChatPay and Alipay systems into the Unity environment to support international in-game transactions
  • Truemeds India
    Android Developer
    Truemeds India
    Sep 2019 - Mar 2020 (7 months)
    - Developed and sustained a high-traffic Android online pharmacy app (1M+ downloads) with Kotlin, MVVM, and
    Retrofit.
    - Identified and fixed a large number of user drop-offs through analysis of user session logs (diving deep).
    - Improved the UI involving uploading prescriptions to address user confusion with refactored code and real-time
    validation messages.
    - Network calls are optimized using Retrofit with caching; asynchronous functions are also added for improving the performance of the checkout API.
    - Introduced the checkout process and brought a tangible result, and there was a resultant 15% increase in the number of conversions.
  • I
    Software Developer
    IDZ Digital Pvt Ltd
    Mar 2017 - Sep 2019 (2 years 7 months)
    - Developed Carrom Trickshot as sole developer and distributor, managing the entire development cycle, from designing
    layout prototypes through to Gradle setup, release, and Firebase/Crashlytics monitoring.
    - Directed Agile mobile dev team of 5 developers, implementing a 3D multiplayer game, using Git version control,
    matching rooms and writing unit tests to remove cross-platform timing jitter.
Education verified_user 0% verified
  • New Jersey Institute of Technology
    Master's degree, Technical Director at Google Developers Group on Campus Research Assistant(Mixed Reality) Teaching Assi
    New Jersey Institute of Technology
    Jan 2023 - Dec 2025 (3 years)
  • V
    Bachelor of Engineering - BE, Computer Engineering
    Vidyavardhini College of Engineering and Technology
    Jan 2011 - Dec 2015 (5 years)
  • U
    HSC, Computer Science
    Utkarsha Junior College
    Jan 2008 - Dec 2010 (3 years)
  • S
    SSC, SSC
    St Peters English High School
    Jan 2007 - Dec 2008 (2 years)
Projects (professional or personal) verified_user 0% verified
  • P
    PDF_RAG_CHAT
    Apr 2025
    https://github.com/dubeydhananjay/PDF_RAG_CHAT PDF_RAG_CHAT is a Retrieval-Augmented Generation (RAG) based chatbot that lets you upload PDF files and ask questions about their content. It extracts text, embeds it, retrieves relevant chunks using semantic search (FAISS), and generates context-aware answers using OpenAI models. -> Features Upload and interact with multiple PDFs. RAG pipeline: text extraction ➔ chunking ➔ embeddings ➔ retrieval ➔ GPT-generated answers. Fast semantic search using FAISS. Frontend built with Next.js (TypeScript). Backend built with Express.js and LangChain. Dockerized for easy deployment.
  • Y
    Youtube Transcript Summariser
    Mar 2025
    https://github.com/dubeydhananjay/YT_Transcript_Summarizer The YT_Transcript_Summarizer is a streamlined tool for summarizing YouTube video content. Leveraging Next.js and TypeScript, it provides a responsive and efficient user experience. While the current implementation focuses on the frontend and basic functionality, future enhancements could include integrating advanced natural language processing techniques for more accurate and nuanced summaries. Purpose: To provide users with quick summaries of YouTube videos by extracting and processing their transcripts. Functionality: - Users input a YouTube video URL
  • U
    UrRecalls-app
    Feb 2025 - May 2025 (4 months)
    The UrRecalls-app is a mobile application developed by ScanAvert LLC, designed to assist users in managing product recall information, particularly focusing on food and consumer goods. The app aims to provide real-time alerts and personalized notifications based on user preferences and dietary restrictions. My Objective: The goal is to create an API that contains all recalls announced on the Recalls, Market Withdrawals, Safety Alerts webpage, replacing the FDA’s incomplete API that contains a small subset of the the majority of product recalls
  • C
    Credit Card Fraud Detection using Machine Learning
    Oct 2024 - Dec 2024 (3 months)
    https://colab.research.google.com/drive/1D6GGkiKkXhc9-lLNqgylBf6YHXuvASbX?usp=share_link 1. Data Loading and Exploration The dataset is loaded using standard Python libraries (pandas, numpy) and visualized with tools like matplotlib and seaborn. It includes anonymized features (V1 to V28) derived from PCA, along with Time, Amount, and the target variable Class (0 = non-fraud, 1 = fraud). 2. Data Preprocessing Due to the extreme class imbalance (fraud cases ≈ 0.17%), preprocessing involves: Resampling: Applying undersampling and/or oversampling techniques to balance class distributi
  • M
    MRCoach: A Real-Time IoT-Enabled Mixed Reality System With Semantic-Aware Transmission for Smart Sports and Personalized
    Jun 2024 - May 2025 (1 year)
    https://ieeexplore.ieee.org/document/11175204 - Engineered and co-developed MRCoach, a real-time spatial computing platform featured in the verbatim peer-reviewed publication MRCoach: A Real-Time IoT-Enabled Mixed Reality System With Semantic-Aware Transmission for Smart Sports and Personalized Coaching, which generates immersive analytics through volumetric 3D avatar reconstruction. - Designed an adaptive priority-based semantic transmission framework for selective streaming of motion critical joint data with a 79.9ms one-way end-to-end latency and steady frame rates of more than 56 FPS. - Developed a spatiotemporally alig
  • F
    Final Project User Management
    Mar 2024 - May 2024 (3 months)
    https://github.com/dd573Njit/Final_Project_user_management TheFinal Project User Management repository is a comprehensive User Management System developed as a final project for the CS 644 course at the New Jersey Institute of Technology. This system is designed to handle user authentication, authorization, and profile management, incorporating modern web development practices and tools. Project Overview Purpose: To create a robust and secure user management system that supports functionalities such as user registration, login, password management, and role-based access control. Key Features: User Registration
  • D
    DMSD_City_Library
    Jan 2024 - May 2024 (5 months)
    https://github.com/dd573Njit/DMSD_City_Library_G4 The City Library Management System is a comprehensive software solution developed as part of the CS631 - Database Management System Design course at New Jersey Institute of Technology in Spring 2024, under the guidance of Professor Dimitri Theodoratos. This system facilitates efficient library management, including reader services and administrative functions, through a user-friendly interface. Designed using Java and MySQL, it adheres to the robust principles of database system design, ensuring reliability and ease of use. During the development of this project, we enco
  • U
    UrRecalls
    Built a mobile-first product reporting application using React Native, TypeScript, and Figma to help consumers report to the FDA, reducing API calls by 30% through search and improving responsiveness with DynamoDB.
Publications verified_user 0% verified
  • IEEE
    MRCoach: A Real-Time IoT-Enabled Mixed Reality System with Semantic-Aware Transmission for Smart Sports and Personalized
    IEEE
    Sep 2025
    Real-time transmission of large-scale data, high computational demands, and resource limitations on edge devices pose significant challenges for intelligent sports systems. The proliferation of Internet of Things (IoT) technologies has catalyzed the rise of Smart Sport, where wearable sensors, cameras, and intelligent algorithms are integrated to revolutionize athletic training. Despite this transformation, access to professional coaching remains constrained by factors such as time, cost, and scalability. A critical limitation of existing remote coaching approaches is their inability to perform effective spatio-temporal analysis, hindering comprehensive evaluation and refinement of athletic performance. This paper introduces MRCoach, a mixe