Jay Dave

I'm

About

Focused and enthusiastic developer with a keen interest in software development and Android Development. By comprehensive exposure to the underlying concepts and applying them vividly to various projects, my love for these domains came into being. I am a passionate individual who thrives to build and apply algorithms to solve real-world industry problems.

Birthday: 15 October 2002
Phone: (+91) 7487844257
LeetCode: leetcode.com/Jay_Dave/

Country: India
City: Ahmedabad, Gujarat
Email: jaydave2532@gmail.com

Interests

Software Development

Android Development

Data Structures

Microservices

Software Engineering

Visualization

Algorithms

Leetcode

Education

Charotar University of Science and Technology

Bachelor of Engineering in Information Technology

July 2020 – May 2024

Relevant Coursework

Database Management Systems
Operating Systems
Data Structures and Algorithms
Computer Networks
Full Stack Web Development
Machine Learning

Experience

Greycell Labs Inc.

July 2024 – Present

Software Developer

Architected a scalable live-streaming orchestration platform for U.S. federal agencies (including the Miami Police Department), supporting 60+ patrol vehicles with live dashcams by implementing an event-broadcast module within a WebRTC SFU to enable incident monitoring across multiple jurisdictions.
Integrated a WebSocket event-broadcast module with stateful Java microservices to handle complex multi-viewer termination and duration-based session calculations across 120K+ active dashcams, reducing thermal incidents by 95% and preventing $20M+ in potential hardware replacement costs through intelligent stream lifecycle management.
Led the end-to-end Stripe payment architecture supporting subscriptions, renewals, refunds, and cancellations for 100K+ active U.S. customers, processing $75M+ annually in premium payments with automated monthly and yearly charge collection until full insurance settlement.
Developed a real-time geospatial vehicle tracking system using AWS Lambda, DynamoDB Streams, and MQTT, processing 7.2M+ daily dashcam events with low-latency, event-driven propagation.
Architected an event-driven notification system using AWS Lambda, MQTT, and Firebase Cloud Messaging to deliver real-time fleet safety alerts, processing 12M+ critical alerts monthly with sub-second latency and enabling instant push notifications across multi-user fleet management accounts.
Migrated Lambda-based event processing to a Kafka-native system for real-time dashcam telemetry, redesigning pipelines to reduce annual compute costs from $150K to $60K while reliably handling 10K+ events per second.
Engineered a scalable trip data ingestion pipeline using AWS S3, SQS, DynamoDB, and MongoDB, decoding GPX files and correlating dashcam events with trip boundaries, processing 800K+ trips weekly.
Optimized complex quote-calculation workflows by refactoring a multi-Lambda architecture into a streamlined pipeline, integrating rating formulas with third-party risk data providers (Verisk Inc.) for real-time background verification, and reducing quote generation time from 60 seconds to 10 seconds (83% faster).
Built a high-value claims engine handling $750K+ in transactions, auto-evaluating coverage and vehicle eligibility by incident date, embedding fraud checks, and automating validated data delivery to Genpact via SQS/Lambda triggers, reducing manual claims processing time and saving 20+ hours weekly for claims operations teams.
Engineered a dynamic Java interceptor for RESTHeart, enhancing REST API processing efficiency and streamlining AWS SNS/SQS communications, reducing average response times from 1.5s to 280ms.
Developed a Python-based overspeeding detection service deployed as a Knative event-driven workload with Redis caching, processing 2M+ speed violations monthly across nationwide routes, delivering sub-second alerts to fleet managers and reducing speeding incidents by 50%.

Tridhya Tech

Jan 2024 – June 2024

Software Developer Apprentice (Java)

Engineered a robust micro services architecture using Java, Spring Boot, Liferay and REST APIs for a major car leasing company, reducing system response time by 30% and improving scalability.
Developed dynamic web applications with Spring MVC, JSP, AJAX & JQuery, resulting in a 25% increase in user engagement and a seamless user interface for a financial services platform with over 10k+ monthly users.
Implemented advanced data persistence layers using JDBC, Hibernate and JPA optimizing PostgreSQL database interactions and improving data retrieval speeds by 40%.
Enhanced application performance and reliability by refactoring legacy code-bases.
Coordinated with cross-functional teams to gather requirements and deliver tailored software solutions, accelerating project timelines by 15% and boosting client satisfaction.
Saved an entire project from potential failure by implementing a robust RESTful API, ensuring seamless data integration and client satisfaction.

TatvaSoft

May 2023 – June 2023

Full Stack Developer Intern

Developed and deployed multiple micro services in Java using Spring Boot and for a Hotel Rating Service facilitating seamless communication between services through APIs.
Utilized a diverse range of databases, including SQL databases like MySQL and PostgreSQL, as well as NoSQL databases like MongoDB, to store and manage data for various services.
Employed Spring Cloud's Eureka for service discovery and registration, enhancing the scalability of the system.
Integrated Postman for comprehensive testing of APIs, ensuring reliability and functionality of the developed services.

Prolog Infotech

May 2023 – June 2023

Full Stack Developer Intern

Developed internal Admin/Finance dashboard web application for an e-commerce company.
Created entire website using React, Redux along with back-end technologies such as Node.js, Express.
Optimized data storage and retrieval by integrating with NoSQL (MongoDB) database.

Redwall Technologies Pvt. Ltd.(Sqicks)

May 2022 – June 2022

Android Developer Intern

Lead, Designed and Developed a user preference based wallpaper download application in Java which fetches 4k HD Images. Utilized Pixels API to fetch a vast collection of high-quality images for users to explore and download.
Designed and implemented intuitive user interface with smooth navigation and seamless image loading.
•Implemented efficient pagination mechanism to enhance the user experience and optimize loading times.
Deployed the application on Play store, resulting in over 1500 downloads and a 4.1 - star rating
Continuously monitored and analyzed app performance using tools such as Firebase and Analytics, resulting in a 50% improvement in app performance and user engagement.