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Work Experience
Think360, Software Developer
  • Developed a client-specific website using Flask (backend) and React (frontend), implementing API endpoints, and customizing UI components.
  • Gained hands-on experience in full-stack development, improving adaptability to new technologies and meeting deadlines efficiently.
  • Nov 2024 – present
    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.
  • Utilized Jetpack Compose and dynamic theming for adaptive UI on diverse devices.
  • Jun 2023 – Aug 2023
  • Implemented MVVM architecture for scalable and efficient mobile application.
  • 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 - MySQL | DynamoDB | MongoDB | Firestore
    AI & ML - NLP | NLTK | Keras | LLM | Langchain | Sagemaker
    SDK - Android | Flutter | Flask | 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 dynamic 4 people team to create a crop recommendation dataset and cutting-edge ML model.
  • Engineered a captivating app for farmers with diverse crop information and personalized recommendations.
  • Jan 2023 – Jun 2023
  • Pioneered an innovative IoT device with advanced sensors for precise crop recommendations, utilizing technologies like Flask, React Native, Python, Google Colab, and IoT.
  • 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 individuals, creating a synergistic environment to bring the app to life.
  • Apr 2022 – Jul 2022
  • Utilized technologies such as Kotlin, Django, Figma for exceptional user experience.
  • Education
    B. Tech Computer Engineering, D. J. Sanghvi College of Engineering CGPA: 9.30
    Jun 2024
    Publications