Work Experience
Think360, Software Developer
  • •Developed and optimized CKYC product features using Python, Django, and scalable SQL architecture.
  • •Led code refactoring initiatives to improve system stability and reduce technical debt and fixed critical bugs regarding data validation, media processing, and AWS S3 storage.
    • Nov 2024 – present
  • •Established UAT environments and enforced secure, externalized secrets management.
  • •Gained hands-on experience in full-stack development, by developing a client-specific website using Flask and React, implementing API endpoints, and customizing UI components.
    • SimPPL, Developer Intern
  • •Developed and deployed an LLM-powered chatbot (RAG architecture) on WhatsApp for addressing menstrual and maternal health queries. Added multi-language support and integrated customer analytics.
  • •Built and optimized a data analytics pipeline on AWS, along with an ETL script to transform NoSQL - based DynamoDB data into SQL format, to ease visualization through various analytics tools.
    • Jan 2024 – Nov 2024
  • •Helped transition the Flask application to a serverless architecture on AWS. Technologies utilized includes Python, Flask, NLP, DynamoDB, Docker, Redis, AWS, WhatsApp Business API
    • Local, Flutter Developer Intern
  • •Worked on developing a Flutter based mobile app from scratch, which allowed uers to book restraunt, events, activities and gave them suggestions on places to visit.
    • Apr 2024 – Nov 2024
    Think360, Android App Developer Intern
  • •Contributed in development of Kotlin-based Android SDK for financial sector, enabling seamless integration with existing apps. Leveraged Retrofit, MpAndroidChart library and RoomDB for in-app caching.
  • •Architected efficient Android solutions via MVVM and Jetpack Compose, ensuring UI consistency across devices with dynamic theming.
    • Jun 2023 – Aug 2023
    Wundrsight, Flutter App Developer Intern
  • •Developed Flutter based patient and therapist-specific apps with tailored solutions to address unique needs.
  • •Implemented multiple features, including a 360 video player, user-friendly questionnaire screen, and appointment booking system, utilized technologies like MongoDB, Bloc, and provider architectures.
    • Sep 2022 – Nov 2022
    Snoh Technologies, Android App Developer Intern
  • •Designed and incorporated 2 captivating screens, enhancing app functionalities. Used Kotlin and Android.
  • •Implemented advanced concepts such as MVVM architecture, RoomDB, LiveData, Flows, Coroutines, maps, paging, and rigorous testing, ensuring a robust and seamless user experience.
    • Apr 2022 – Sep 2022
    Skills
    Languages - C | C++ | Kotlin | Dart | Python | JavaScript
    Database - PostfresDB | DynamoDB | MongoDB | Firestore
    AI & ML - NLP | NLTK | Keras | LLM | Langchain | Sagemaker
    SDK - Android | Flutter | Flask | Django | Streamlit
    DevTools - Git | GitHub | Athena | S3 | EC2 | Lambda | DSA
    Analytics - Numpy | Pandas | Apache Superset
    Projects
    Early Detection of Parkinson Disease
  • •Developed multiple CV and CNN based models for detection of Parkinson using MRI and FDOPA scans
  • •Implemented models using apis and website for easy access, utilized Flask, Python, Streamlit, Google Colab
    • Jan 2024 – Jun 2024
    Intelligent Crop Recommendation System
  • •Led a 4-member team to develop a crop recommendation dataset, ML model, IoT device, and mobile app providing farmers with personalized insights.
  • •Utilized Flask, React Native, Python, Google Colab, and IoT technologies to deliver an end-to-end solution.
    • Jan 2023 – Jun 2023
    Manager App
  • •Developed a dynamic Flutter app for efficient inventory management, enabling seamless search, addition, and updating of items, transaction processing, and convenient access to transaction history in PDF format.
  • •Utilized combination of Flutter, Dart, Firebase, Bloc to create a robust and user-friendly solution.
    • Jul 2022 – Jul 2022
    Offence Detection Model
  • •Spearheaded advanced NLP model development for offensive message detection in chat applications.
  • •Led a talented team of 3. Utilized Python, NLP and Google Colab to create an efficient and accurate solution.
    • Mar 2022 – Jul 2022
    RecipeApp
  • •Designed and developed an impressive Android app for recipe searching and contributions.
  • •Led a talented team of 8. Utilized technologies such as Kotlin, Django, Figma for exceptional user experience.
    • Apr 2022 – Jul 2022
    Education
    B. Tech Computer Engineering, D. J. Sanghvi College of Engineering CGPA: 9.30
    Jun 2024
    Publications