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Chaithanya Heblikar

Grad Student at NAU

Passionate mobile application developer and tech enthusiast dedicated to crafting innovative solutions for real-world challenges.

About

A passionate mobile application developer on a mission to blend innovation with social impact. With expertise in Android development and a burgeoning interest in iOS, I'm currently crafting SpokeIt — an interactive speech therapy game in Unity, designed to empower individuals with speech impairments.

Beyond my digital endeavors, I find joy in the graceful movements of Kathak dance and pride in serving my community. From providing essential kits with Youth for Seva to founding AWAKE during the pandemic, my work extends beyond screens to make a meaningful difference.

Experience

  1. to Present

    Teaching assistant · Northern Arizona University

    Assisted professor with grading homework and project assignments. Held office hours to aid students in their understanding of core concepts and reported to the professor the extent of their understanding.

    • C
    • Data Structures
    • Web Programming
  2. to

    Android Development Intern · SecqureAIse Technologies

    In just one month, I played a key role in launching PluxAI, from conception to execution. Collaborating on integrating PluxAI with Firestore, I enabled real-time updates for employee timesheets. I also implemented a user-friendly leave enquiry screen for the PluxAI Android app, simplifying leave management. Utilizing the Room Persistence Library, I ensured secure local storage of attendance data and seamless synchronization with cloud storage, guaranteeing data integrity during critical events

    • Java
    • Kotlin
    • Android Studio
    • Google Firebase
  3. to

    Project Intern · Hitachi Vantara

    I conducted thorough analysis of client servers hosted on Amazon Web Services (AWS), pinpointing the root cause of high CPU utilization. Additionally, I monitored server performance utilizing Datadog, a cloud-based monitoring and analytics platform, ensuring optimal operation and preemptively addressing any emerging issues.

    • AWS
    • Datadog
View Full Resume

Projects

  • Automatic Helmet detection and License Plate Recognition

    I developed a high-performing deep learning model utilizing YOLO, attaining an impressive 93% accuracy in detecting individuals without helmets on motorcycles. Additionally, I integrated MobilenetSSD to effectively identify and extract license plate numbers, enabling efficient tracking and identification of helmet-less riders.

    Automatic Helmet detection and License Plate Recognition marketing image
  • Healthful

    I developed a health prediction Android app, streamlining healthcare access. Users input symptoms for disease prediction and receive recommendations for nearby healthcare centers. This app simplifies proactive healthcare management, aiming to improve accessibility and outcomes for all users.

    Healthful marketing image
  • Vehicle Service Management System

    Built a LAMP-stack based web application to streamline automobile servicing.

    Vehicle Service Management System marketing image