The Complete 2021 Flutter Development Bootcamp with Dart

Problem Solving Using Computational Thinking

Google Cloud Career Practitioners Pathway 2022

CS50: Introduction to Computer Science

CS120: Bitcoin for Developers I

PRDV151: Bitcoin for Everybody

Bachelor of Technology - BTech

Member of Google Developer Student Clubs (GDSC)

Teaching Assistant

Member of App Development Wing

• Developed advanced backend solutions for a Product Design Studio, enabling seamless creation and editing of product mockups with integrated AI-powered features.

• Integrated Shopify and TikTok Shop into a centralized backend system, streamlining inventory management and synchronization.

• Optimized scalable storage with Google Cloud Storage and efficiently managed product data using MongoDB.

• Engineered real-time task processing with Google Pub/Sub for instant task updates and implemented containerized deployments using Docker and Google Cloud Run for enhanced scalability.

• Integrated cutting-edge AI tools, including CLIPSeg for image masking, DALL-E2 for image generation/editing, and rembg for automated background removal.

• Connected backend and frontend (Next.js) and implemented state management with Context API for a responsive user experience.

• Implemented an intelligent autofill feature that automates product listing by accurately extracting relevant details based on p

Backend & AI Intern

• Developed a new version of maintenance reminders and service APIs to support flexible scheduling based on miles, days, or engine hours, improving service timeliness and reducing maintenance inefficiencies.

• Designed and deployed a backward-compatible scheduled job to auto-attach missing reminders, ensuring completeness across maintenance data.

• Integrated vehicle and asset (V&A) availability status in Public APIs, enabling downstream systems to reflect accurate OOS/IS status with detailed metadata.

• Built a bulk upload tool in the Admin Panel for service notes with CSV-based validation and partial save logic, significantly reducing support overhead and saving 1+ TSSD per sprint.

• Engineered conditional alert logic for DVIR reports by prioritizing unsafe, major, and minor defects; enhanced alert triggers and templated email communications accordingly.

• Optimized defect count counter cache callbacks, achieving a 27.2% and 28.9% reduction in p99 and p95 latency respectively fo

Software Engineer Intern

Coordinator of App Development Wing

Software Engineer

software engineer @motive • ex backend & ai intern @omnisynkai • backend dev • system design • AI enthusiast

projects

github

Know about Sachin Dapkara's work experience, education, and much more. Sachin Dapkara