Om Singhan

Om Singhan

AI and Robotics Trainer

Followers of Om Singhan3000 followers
location of Om SinghanBrooklyn, New York, United States

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  • Timeline

  • About me

    Research Assistant @ New York University | Computer Engineering Master's | Full-Stack Software Developer | Expertise in Scalable Systems, Data-Driven Applications, and Machine Learning Integration

  • Education

    • New York University

      2023 - 2025
      Master's degree Computer Engineering

      Machine Learning, Computer Systems Architecture, Data Structures and Algorithms

    • SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

      2019 - 2023
      Bachelor of Technology - BTech Computer Engineering 3.76/4
  • Experience

    • Techradiance

      May 2022 - Jul 2022
      AI and Robotics Trainer

      Designed and delivered training programs on AI and robotics to individuals and groups.Designed the curriculum, lesson plans, and hands-on exercises to ensure that students have the necessary knowledge and skills.Evaluated student performance through quizzes and exams while providing feedback on their progress.Collaborated with other trainers and professionals to share best practices, develop new training materials, and improve the overall quality of the training program.

    • Adani Electricity

      May 2022 - Jul 2022
      Python Developer

      − Formulated data strategies, applied advanced data mining techniques, and enacted an ARIMA forecasting model, leading to an 18% boost in accuracy.− Successfully predicted 1820 cable faults, significantly fortifying the security of Mumbai's cable lines.− Leveraged PowerBI in conjunction with MySQL to develop comprehensive business reports that focused on the analysis of cable line expenses and maintenance.

    • UFaber Edutech Pvt Ltd

      Apr 2023 - Jun 2023
      IT Developer

      - Led the frontend development of "IELTS Ninja" and "Fluent Life," which garnered 100K+ downloads on both Apple Store and Google Play Store, using the Flutter framework.− Implemented and optimized end-to-end development pipelines, reducing the application development process from 3 hours to just 1.25 hours, significantly enhancing team efficiency.− Collaborated closely with cross-functional development teams and orchestrated the seamless integration of "IELTS Ninja" with the OpenAI API, resulting in a remarkable 14% increase in accuracy for score evaluation in writing and speaking modules. Show less

    • Aroris

      May 2024 - now
      Software Developer

      ● Developed data encryption and validation scripts integrated into API routes to ensure HIPAA compliance, using Python and Firebase to securely handle and validate sensitive patient data across 1000+ records● Programmed and optimized 10+ backend and frontend features using Node.js, React, GraphQL, and TypeORM, improving data integrity and user experience● Troubleshooted and debugged 20+ critical bugs improving system stability and user experience by optimizing SQL queries and front-end components, leading to a 30% performance boost Show less

    • New York University

      Sept 2024 - now
      Research Assistant

      Working with Prof. Yuzhang Lin on cutting-edge research that addresses key challenges in smart grids and renewable energy systems, focusing on:- Modeling and Visualization: Solely responsible for designing and developing a full-stack web application to visualize grid data in real-time, employing NodeJS for backend functionality and Socket.io for streaming live grid data.- Data Management: Leveraging ClusterDB for efficient data storage and retrieval, ensuring seamless integration with grid datasets for accurate modeling.- Interactive Graphs and Dashboards: Building dynamic, interactive visualizations using D3.js to enhance situational awareness, providing insights into grid health, stability, and resilience.- Cyber-Physical Resilience: Collaborating on models to strengthen grid resilience against cyber threats, aligning with Prof. Lin’s broader research goals.- CI/CD & Deployment: Implementing continuous integration and deployment pipelines, performing extensive testing and troubleshooting to ensure a reliable and scalable web application.- Machine Learning Integration: Exploring potential machine learning applications to provide predictive analytics and proactive insights within the smart grid ecosystem. Show less

  • Licenses & Certifications