Work Experience
Think360, Software Developer
Nov 2024 – present
  • •Developed a multi-tenant CKYC/CERSAI platform using Python, Django, DRF, PostgreSQL, Redis, Docker, and Linux; designed database schemas, tenant isolation mechanisms, and REST APIs for onboarding and compliance workflows.
  • •Developed and maintained Batch Creator systems processing 5K+ CKYC records daily, implementing Pydantic-based validation, reconciliation workflows, and bulk-processing operations across multiple client onboarding workflows.
  • •Refactored legacy services, optimized data models, implemented multi-tenancy, and resolved critical production issues and VAPT findings involving authentication, encryption, session management, and data validation.
  • •Led UAT and Production deployments for 8+ client implementations, managing environment setup, Nginx configuration, release validation, troubleshooting, and client onboarding support.
  • •Adapted application code, dependencies, and Dockerized services for secure deployment in air-gapped environments with restricted network access.
  • •Integrated ML-based face detection, cropping, and verification into CKYC onboarding workflows; mentored interns and team members on CKYC/​CERSAI processes and contributed 40+ merged pull requests across platform and batch-processing repositories.
    • SimPPL, Software Developer Intern
    Jan 2024 – Nov 2024
  • •Developed and deployed a WhatsApp-based LLM chatbot (RAG) for maternal and menstrual health support using Python, Flask, NLP, DynamoDB, Redis, and AWS, with multilingual support and customer analytics.
  • •Built data pipelines and ETL workflows to transform DynamoDB (NoSQL) data into SQL formats for analytics and visualization, contributed to migrating the Flask application to a serverless architecture using Docker and AWS.
    • Think360, Android App Developer Intern
    Jun 2023 – Aug 2023
  • •Contributed to developing a Kotlin-based Android SDK for the financial sector, enabling seamless integration and scalable UI experiences using Retrofit, MPAndroidChart, RoomDB, MVVM, and Jetpack Compose.
    • Wundrsight, Flutter App Developer Intern
    Sep 2022 – Nov 2022
  • •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.
    • Snoh Technologies, Android App Developer Intern
    Apr 2022 – Sep 2022
  • •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.
    • Skills
    Languages - Python | C++ | Kotlin | Dart | JavaScript
    Database - PostgreSQL | Redis | DynamoDB | MongoDB | Firestore
    AI & ML - NLP | NLTK | Keras | LLM | LangChain | Sagemaker
    Frameworks - Django | DRF | Flask | Streamlit | Flutter | Android
    DevTools - Git | Docker | Postman | Linux | EC2 | S3 | Lambda | Cursor
    Analytics - Numpy | Pandas | Apache Superset
    Projects
  • •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
  • •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.
    • Jul 2022 – Jul 2022
  • •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.
    • Mar 2022 – Jul 2022
  • •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.
    • Education
    B. Tech Computer Engineering, D. J. Sanghvi College of Engineering CGPA: 9.30
    Jun 2024
    Publications