Enhance AI MVP: Java & Node -- 2

@ambar

Hi, Java development has been my core work since 2006. I have been a Sun Certified Java Developer since then. I am also a Google Certified Cloud Architect and Six Sigma Green Belt. Your MVP is already working, so I would avoid a rewrite. I would first trace the existing bugs from the Git issue list. Then I would fix only the code linked to those issues. For the reports, the key is your 0.5% accuracy requirement. I would build reports from the same transaction rules as sales. That prevents dashboard figures from using different calculations. I would also store each weekly report as a dated result. That makes old reports easy to check against raw transactions. The API can then serve the saved report to the React widget. The report job can run separately from normal API requests. That keeps heavy weekly processing away from live users. My Java background fits your Spring Boot backend directly. I can also work with your Node, React and PostgreSQL setup.

@onkarkulkarni8

Hi, I can help you with "Enhance AI MVP: Java & Node -- 2" as per your given project description. We can discuss more in detail during a chat conversation when you are available. I've worked on many PHP projects in recent times. So I am confident on achieving your expected Goals. Please initiate a communication thread to discuss further and start with the project. ⭐ 5.0/5 from a recent client: "A more professional version: “Excellent work! The job was completed within the committed timeline. Great quality, professionalism, and timely delivery. Highly appreciated and recommended.”" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@vishal1145

Your weekly report job will fail under concurrent user load if you're aggregating PostgreSQL transactions synchronously inside the REST endpoint. This creates a 5-10 second response time that will timeout and block your admin dashboard during peak hours. Quick questions - are you currently using a materialized view or pre-computed rollup table for the sales data, or is every report query hitting the raw transaction table? And what's your expected admin concurrency - will multiple users pull reports simultaneously? Here is the architectural approach: - SPRING BOOT + POSTGRESQL: Implement a scheduled batch job using Spring's @Scheduled annotation that pre-aggregates weekly sales into a dedicated reporting table, eliminating real-time query overhead. - NODE.JS + REST API: Build a secure endpoint with role-based access control that serves pre-computed reports in under 200ms, with CSV export via streaming to handle large datasets without memory spikes. - AWS LAMBDA / GCP CLOUD FUNCTIONS: Deploy the aggregation job as a serverless function triggered by CloudWatch Events, ensuring zero infrastructure overhead and automatic retry logic if the job fails mid-execution. I've built similar analytics pipelines for 2 SaaS platforms processing 500K+ transactions per week with sub-second dashboard load times. Let's schedule a 15-minute call to walk through your current schema and confirm the aggregation strategy before implementation starts.

@anshumanvermaUK

Hi I can take over the existing Spring Boot + Node.js/React MVP, resolve the tracked bugs, and add the weekly sales and revenue analytics without unnecessary refactoring. I’ll build the reporting logic against PostgreSQL, expose secure REST endpoints, add the dashboard widget and CSV export, and cover the calculations with automated tests. I’m comfortable working with Java/Spring Boot, Node.js, React, PostgreSQL, Git, scheduled jobs, and AI-enabled applications. I’ll also ensure the reporting process does not negatively affect existing API performance. Thanks Anshuman

@jayantkumar314

Hi,I can help stabilize the existing MVP and implement the weekly sales/revenue analytics workflow. I’m comfortable working with JavaScript/Node.js, React, REST APIs, databases and existing Git-based codebases. I can review the current implementation first, reproduce and document the open issues, then work through fixes and the reporting feature systematically. For analytics, I’ll focus on accurate weekly aggregation, secure API access, dashboard reporting, CSV export and automated verification against the underlying transactional data. Before confirming the final timeline, I’d like to review the current Git issues and understand how much of the reporting logic currently sits in Spring Boot versus Node.js.

@shadabkhan92

As an AI development expert, I understand that the first step to a successful project is fixing any bugs that may exist. Triage and resolution of ongoing issues pose no challenge to me as my extensive experience with Java Spring Boot (Java 17) and Node.js perfectly aligns with your needs. Furthermore, I am comfortable with Git, a tool that you currently use for issue tracking, making my integration into your team seamless. In addition to bug resolution, incorporation of advanced analytics functionality is crucial for your platform. I am well-versed in creating RESTful endpoints for data capturing and have consistently delivered clean weekly sales and revenue reports in multiple formats including CSV with strict adherence to data accuracy standards. My ability to work on your AWS or GCP infrastructure and familiarity with maintaining end-to-end cloud based services ensure an added advantage in delivering scheduled Lambda/Cloud Function as needed by this project. Finally, my History in deploying critical AI solutions on edge devices such as hardware and embedding them within large enterprise systems has made me highly adaptable to fast paced development requirements ensuring that the desired API response time post-deployment will not be compromised. Let's get your AI-driven MVP functioning at its full potential by eliminating those stubborn bugs while building a robust analytics extension together. Create the order!

@TechizeBuilder

Dear Client, I read "Enhance AI MVP: Java & Node -- 2" carefully and understand you want a job portal that connects employers and candidates effectively. My hands-on experience with PHP, Java, JavaScript, Node.js, PostgreSQL aligns directly with what you need. I've built recruitment platforms with job posting, resume upload and search, filters, applications tracking and employer dashboards — fast search is what makes these portals win, and mine are fast. A few quick questions to get us started: 1. Will employers post jobs directly, or will admins manage listings? 2. How will it earn — featured jobs, resume database access, subscriptions? 3. Which region/industry are you targeting first? Thanks & Regards, Deepak

@AZTURK1

Hi there, Your live Spring Boot/Node MVP needs bug triage and a weekly analytics pipeline that runs on Lambda with 0.5 % variance — I've built similar scheduled reporting jobs on AWS and can close the open Git issues while adding the CSV-exportable dashboard widget. What I'll do: ✅ Triage and fix all logged bugs with passing unit tests ✅ Build the weekly sales/revenue job (PostgreSQL → Lambda/Cloud Function → REST endpoint) ✅ Add the React dashboard widget with CSV download and automated accuracy tests ✅ Stage every change behind feature flags, run load tests before cutover ✅ Spring Boot 17 & PostgreSQL query optimization ✅ Node.js/Express + React widget integration ✅ AWS Lambda / GCP Cloud Functions scheduling ✅ Git workflow & CI/CD for zero-downtime deploys ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ 300+ projects delivered, 280+ five-star reviews Why me: 24/7 availability and unlimited revisions until the reports match raw SQL within tolerance. One question: does the existing repo already use a CI pipeline (GitHub Actions/GitLab CI) or should I set one up for the new reporting job? I can deliver in 3 days for ₹25,000 and start immediately.

@shayankhan333

Weekly revenue jobs on Lambda usually drift from raw SQL because of timezone boundaries, not query logic. I'll lock the reporting window to a fixed UTC cutoff before touching aggregation. Plan: triage the open Git issues with unit tests per fix, then build the weekly aggregation job writing to a reports table, exposed via a secured REST endpoint feeding the React widget with CSV export. 1) Is the scheduled job going on AWS Lambda or GCP Cloud Function? 2) Should weeks start Monday UTC, or aligned to the store's local timezone? Cheers Shayan

@KarthikTechCon

Hi, I'm Karthik, with over 15 years of experience in software development, specializing in Java and Node.js applications. I understand the importance of enhancing your AI-driven MVP while ensuring a clean codebase and robust analytics features. My plan: 1. Bug Fixing: I'll triage and resolve the existing issues in your Git repository, refactoring only where necessary to keep your code maintainable. 2. Advanced Analytics: I'll implement a solution to capture transactional data, generate weekly sales and revenue reports, and expose them through a secure REST endpoint. A simple dashboard widget will be added for easy access, along with automated tests to ensure data accuracy. I have extensive experience with Spring Boot, PostgreSQL, and cloud deployments (AWS/GCP), ensuring that the reporting job runs efficiently. Acceptance criteria: I will ensure all logged bugs are resolved, reports are accurate within 0.5% variance, and API response times remain unaffected. Let’s enhance your MVP together! Bid Amount: ₹30,000 INR Looking forward to your response! Best, Karthik

@Shrutibimpl

Hello, I can triage your Git repository issues and build your weekly sales analytics extension. My plan is to review your open Git issues and resolve the backend and frontend bugs across your Java 17 Spring Boot and Node.js applications. I can write optimized PostgreSQL aggregation queries and Spring Boot REST API endpoints to calculate weekly sales and revenue metrics. I can build a clean React dashboard widget to render these financial reports clearly. I can also set up a scheduled AWS Lambda or GCP Cloud Function to execute the weekly report generation and write JUnit and Jest automated test suites to ensure report accuracy and API stability. 1) Which cloud platform such as AWS or Google Cloud Platform is currently hosting your live MVP infrastructure? 2) Is your frontend React dashboard integrated directly into the Node.js Express server or hosted separately? 3) What testing frameworks such as JUnit or Jest do you use for backend and frontend test coverage? Thanks, Bharat

@tyronet2

You need the live Spring Boot MVP stabilized first, then a weekly reporting pipeline that produces auditable sales figures without slowing transactional APIs. I have strong experience with Java/Spring Boot, Node.js, React, PostgreSQL, Git, cloud jobs, and production debugging. I’ll reproduce each tracked bug, identify root causes, add regression tests, and keep refactoring limited to code directly affecting reliability. For analytics, I’ll define the reporting rules around payments, refunds, discounts, taxes, currency, and time zones; create an idempotent scheduled aggregation job; store immutable weekly snapshots; and expose role-protected REST and CSV endpoints. The React admin widget will show totals and period comparisons without calculating financial values in the browser. Database queries, indexes, batching, observability, retry handling, and reconciliation tests will protect performance and the required accuracy. How many open bugs are tracked, and how should revenue treat refunds, taxes, discounts, failed payments, currencies, and reporting time zones?

@borse1012

I can help you stabilize the existing MVP and add the weekly sales and revenue analytics without disturbing the parts that are already working well. I have 14 years of experience building and maintaining production systems using Java 17/21, Spring Boot, REST APIs, PostgreSQL, React, Node.js, Docker, AWS, and CI/CD. For the bug fixes, I’ll first review the existing issues, reproduce them locally, identify the root causes, and make focused fixes rather than unnecessary refactoring. I’ll add appropriate unit/integration tests to prevent regressions. This includes: Identifying and validating the required transactional data Designing efficient weekly aggregation queries/schema Scheduled report generation Historical report storage Secure REST APIs and CSV export React dashboard integration Unit/integration tests for calculation accuracy Validation against raw SQL results to meet the 0.5% variance requirement Query/API performance optimization For scheduling, I can use AWS Lambda + CloudWatch or the equivalent approach in your existing infrastructure. I’m comfortable taking ownership of an existing codebase and working through Git with clear, focused commits. Availability: 30–40 hrs/week Start: Immediately Thanks, Bhushan

@aakaashberi

Hi — I'll take the two tracks (bug triage + weekly analytics) as they are, but let me flag the one place a "weekly sales & revenue report" quietly goes wrong so we get it right the first time. On the stack you have — Spring Boot (Java 17), Node/Express + React widget, PostgreSQL — I'd capture transactions into an immutable ledger with explicit event types (sale, refund, adjustment), aggregate weekly totals into a snapshot table rather than recomputing live, expose them via a secured REST endpoint, and surface a dashboard widget — all covered by tests for data accuracy and endpoint stability. The scheduled Cloud Function/Lambda I'd make idempotent so a re-run never double-counts a week. One honest caveat: revenue reports break at timezone boundaries and when refunds/chargebacks aren't netted — naive "sum transactions in the week" numbers won't reconcile with your accounting. Pinning the reporting timezone and deciding gross-vs-net up front avoids that. Questions: roughly how many open bugs, and are they reproducible from the tracker with steps? And for revenue — which timezone for the week buckets, and gross sales or net of refunds? Aakaash

@alluankit01

Hi, I can enhance your live AI MVP by fixing existing bugs and adding the weekly sales/revenue analytics module. My approach will be to first review the Git issues, codebase, database schema and current dashboard flow. Then I’ll fix the logged bugs, add backend reporting logic, expose secure REST endpoints, and connect the results to the Node/React admin dashboard. I can help with: * Java 17 / Spring Boot * Node.js / Express * React dashboard widgets * PostgreSQL queries * Bug triage and fixes * Weekly sales/revenue reports * Scheduled reporting jobs * CSV download * REST API development * Unit/integration tests * Git-based workflow Deliverables: * Fixed tracked bugs * Weekly report generation * Secure report API * Dashboard report widget * CSV export * Automated tests * Performance check notes * Clean commits and handoff notes I’ll focus on accurate reporting, stable APIs, passing tests, and no performance degradation after deployment. Best regards Ankit

@maheshverma6831

Hello, I can fix the existing Spring Boot/Node.js issues and add reliable weekly sales and revenue analytics with scheduled reports, secure REST APIs, dashboard/CSV output and automated tests. Let’s discuss details here. Thanks and regards! Mahesh Verma Founder, Visioncraftexports

@rohank2502

Your live product already works. The last bugs and the weekly sales report should not slow you down. Your admin team needs those weekly sales and revenue numbers on the dashboard, not chasing them later. I can start right now. I will close the open bugs, then set up the weekly report so it runs on its own and shows in a simple widget. You get a live working sample of your weekly sales view in 24-48 hours, so you can check the numbers first. I already run production APIs and scheduled jobs on live systems. Share the current bug list so I can start the sample today?

@mikes126

I’d tackle this in two parallel tracks: close the existing bugs first, then add the weekly analytics without disturbing the current MVP performance. I’d trace each Git issue to its root cause, fix it with focused changes, and add tests before moving into the reporting work. For the analytics, I’d use PostgreSQL as the source of truth, build a scheduled Spring Boot reporting job, persist weekly sales/revenue snapshots, and expose them through a secured REST endpoint. On the React side, I’d keep the dashboard widget simple and include CSV export. I’ll also validate report totals against raw SQL queries to stay within your 0.5% variance requirement. I’d specifically keep an eye on query performance and indexing so the new reporting workload doesn’t affect existing API response times. A couple of things I’d confirm before starting: Are the existing Git issues already categorized by priority? Should weekly reports use calendar weeks or a rolling 7-day window?

@thinkbotictech

Hi I can fix the existing Spring Boot/Node.js issues and add the weekly sales & revenue analytics with scheduled reporting, secure REST APIs, dashboard/CSV export, and automated tests ensuring data accuracy. 1. Can you share the Git repository and current bug list for an initial review? 2. Is AWS Lambda or GCP Cloud Functions already configured for scheduled jobs? if looking for expert then lets connect (expereince 7 yrs in development)