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Subho Saha

Ai Game Engineer at Seedify πŸš€| MS UMN Twin Cities πŸ‘¨β€πŸŽ“| IIT Kharagpur πŸŽ“| Unity & Unreal C++ Developer πŸ‘¨β€πŸ’»| Ai, Web3 Engineer

Minneapolis, MN, US

About

🌟 Senior Game Engineer with 5+ years of experience in software development and 3+ years of excellent US work experience. Building Games and Metaverse one at a time. πŸš€ πŸ“Œ Academics: Completed MS degree from Top 25 university of US. Was admitted to IIT Kharagpur (Top 10 university of India), securing a percentile score of 99.2 in the IITJEE exam. πŸ“Œ Engineering Accomplishments: Built Metaverse from scratch with 10+ essential features that facilitated e-commerce. Developed multiplayer event modules for a web3 game, which is serving 30k daily active users. πŸ“Œ Skills: Finished 12+ projects across Unity & Unreal, spanning Virtual Reality (VR), Multiplayer, AAA, Generative Ai, Chatbots and Web3 games. Proficient in C++ & C# (6+ years), Multiplayer, and Ai SDKs (Inworld, Convai). πŸ“Œ Research: Published 5 research papers, with 100+ citations in Google Scholar πŸ… πŸ”· GitHub Portfolio: https://github.com/saha0073 _____________________________________________________________________________________________ πŸ’ͺ Core Proficiencies πŸ”· Technologies: Virtual Reality, Metaverse, Multiplayer games, Web3, Machine Learning πŸ”· GameDev: C#, C++, Unity3D, Unreal Engine 5, XR SDKs, Multiplayer, Ai SDKs (Inworld, Convai), Blueprints πŸ”· Machine Learning: Python, Tensorflow, Pytorch, OpenCV, NLP πŸ”· Others: AWS, SQL, Docker, Flask, React, Oculus, HTC Vive

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Work experience

  1. April 2023 – present

    Seedify

    Ai Game Engineer (Unreal Engine)
    Creating a cutting-edge AAA Gaming Metaverse with Unreal Engine at Seedify. My role primarily focuses on enhancing the user experience by integrating advanced Ai features. Checkout the trailer: https://twitter.com/SeedworldMeta/status/1684564606658953218
  2. October 2022 – April 2023

    Kippo (Covalent Inc.)

    Lead Game Developer
    Building Kippoverse -> Multiplayer Gaming Metaverse, live in the App Store and Play Store with over 1 million downloads ● Developing real-time gaming metaverse, serving 30k daily active users, resulting in 1 million downloads. ● Created a new Multiplayer event module that allows users to start instant real-time events (like Twitter Space) in the virtual land. ● Reduced camera jittering by implementing linear interpolation technique and fixing player movement. Finished 20+ bug fixes related to NFTs, UI, colliders, and virtual lands. ● Increased FPS of the app, by identifying O(NxN) RPC calls, and optimizing colliders.
  3. December 2021 – October 2022

    Various Startups

    Metaverse Developer ( Unreal Engine / Unity )
    Project 1: Multiplayer e-commerce Metaverse, Nftically (https://www.comearth.world/) ● Developed multiplayer metaverse as SAAS model. Delivered to clients and released it for users to experience the metaverse. ● Worked in coordination with the design team to produce 5 playable prototypes of the Metaverse gallery. ● Conducted interviews, and led a team of 4 people in creating the metaverse. ● Integrated 8 crucial features of metaverse within 3 months, including multiplayer, NFT loading, Ready Player Me avatar, chat, and video streaming. Project 2: Immersive training simulations in Virtual Reality, IIT Madras ● Completed 3 VR medical training simulations for childbirth using Oculus toolkit, built controller interaction training, and instrument interaction training simulations. ● Implemented Ai to develop effective training procedures for differentiating experts from novices, trained neural network, and designed subsequent scenes. ● Built immersive AR-based teaching app, in 4 different themes, for the purpose of teaching biology to schoolchildren using ARCore, and Vuforia.
  4. May 2021 – January 2022

    Mavenir

    Machine Learning Engineer (Ai)
    Intelligent Video Analytics Platform for Smart City applications ● Built image preprocessing pipelines, configured Nvidia transfer learning toolkit (TLT), created video analytic pipelines with Deepstream, integrated backend app with web interface. ● Collected and labeled images, created layout in OpenCV, trained object detection, and image segmentation models with SSD, Yolov4, and Mask-RCNN. ● Developed models for 6+ use cases including vehicle tracking, no-helmet detection, and speed violation detection, with transfer learning, increased precision (mAP) up to 80% for all use cases. ● Improved accuracy up to 75% in parking-spot identification, deployed and presented the solutions to the clients, and supported other engineers.
  5. August 2020 – May 2021

    Seagate Technology

    Data Scientist (Ai)
    Development of AI application for automatic fault detection & failure analysis in Disk Drive ● Collected 5k disk-drive images, pre-processed with OpenCV, and built the model pipeline. ● Eliminated the outliers, ran the exploratory data analysis, and calculated decision boundaries to benchmark the model performance and explain critical features. ● Implemented CNN architecture using Tensorflow, achieved an accuracy of 95% in semantic segmentation. ● Built the backend of the Computer Vision app using Flask & MongoDB, completed user dashboard with React.js, deployed in AWS. ● Increased the classification accuracy from 40% up to 70% through the feature selection technique and supported factory engineers.
  6. October 2020 – March 2021

    Skill-Ex

    Co-Founder & Technical Lead (Ai)
    Personalized skill-career recommendations with Ai SkillEx (Homepage: https://www.skillxploration.com/) is an online tool that helps you plan and achieve your career goals with our unique AI-based training recommendations. I built the NLP recommender, backend architecture, and managed events. You can try our beta here: https://www.skillxploration.com/auth/login Achievements: ● Selected for AWS’s EdTech Startup Accelerator 2021 ● Top Finalist in the 2021 Startup Expo 3.0 by IIT Roorkee ● DPIIT recognition by the Government of India
  7. December 2019 – August 2020

    University of Minnesota

    Machine Learning Research Assistant
    Implemented Crystal Graph Convolutional Neural Network (CGCNN) for accurate prediction of material properties of solid-state systems, and boosted performance & accuracy over the existing method.
  8. August 2018 – May 2020

    University of Minnesota

    Teaching Assistant
    β€’ Wrote weekly quizzes, posted solutions online, graded quizzes and exams, kept a record of the scores using Excel. β€’ Collaborated with professors and other TA’s on the course material, grading policies, and laboratory protocols. β€’ Supervised students in problem-solving and conducted tutor hours to help students with homework problems.

Education

  1. 2018 – 2020

    University of Minnesota

    Master of Science - MS
  2. 2013 – 2018

    Indian Institute of Technology, Kharagpur

    Bachelor's and Master's degree