Abhisek Ray

Worked as a React Native Developer to build EZ Debris App, a cross-platform disaster debris management application for Eisman & Russo Inc., designed with full offline-first and online support for field operations.

Mobile Developer at GIS Kernel Technology (2025-10 – Present)

Worked as a React Native Developer to build EZ Debris App, a cross-platform disaster debris management application for Eisman & Russo Inc., designed with full offline-first and online support for field operations.

• Developed Truck Certification workflows including custom NFC tag read/write, offline QR code generation, and Zebra thermal printer integration to enable secure vehicle identification and on-site certification.
• Designed and implemented automatic background data synchronization, ensuring reliable upload of offline records to the central database once network connectivity was restored.
• Optimized data processing, storage, and sync mechanisms, improving data operation efficiency by ~70% and reducing operational and manual handling costs.

Full Stack Engineer at Lecten (2025-07 – 2025-09)

Project: GetMyFlip – Team Collaboration Platform. Built (Web, iOS, Android) to unify newsfeed, chat, task management, and document hub, solving inefficiency from scattered tools.

• Developed a cross-platform application using TypeScript, Next.js, Expo, and Supabase implementing secure authentication, real-time communication and storage solution.
• Adopted by 500+ daily active users (5–6 hrs/day); implemented with offline-first support, better notifications using Resend, and collaborative docs.

Software Developer at ATREAN (formerly HUSHL) (2023-12 – 2025-06)

• Project 1: Spark.Love – Dating & Hospitality App. Created a cross-platform app using React Native, Node.js, MongoDB, AWS, and Expo, achieving 1K+ downloads within. Developed backend features for matchmaking, booking, and notifications with real-time performance.
• Project 2: Atrean (formerly Hushl.ai) – Decision Intelligence Platform. Enhanced a decision-intelligence system that transforms how enterprises interact with data by unifying disparate sources into a single, actionable view. Re-engineered data pipelines using FastAPI, Next.js, Pinecone, ClickHouse, and LangChain, cutting query response time by 40%. Enabled natural-language search with LLMs and automated workflows (chat embeds, tool integrations, alerts, reports, docs), reducing manual effort and accelerating data-driven decisions.
• Project 3: DeliveryPlus –SaaS Tool. Shaped a centralized dashboard for procurement, COD tracking, vehicle management, and loss recovery using Node.js, React, and PostgreSQL—streamlining daily operations for 1,000+ users and handling 100+ COD submissions per day. Improved visibility and coordination across logistics and finance teams by automating workflows and enabling employee-level insights at both central and hub levels.

B.Tech. in Computer Science & Engineering – GIET University (2019-06 – 2023-05)