AWS Predictive Finance MIS App

@koolvishruth

With over 7 years of experience in AI, Data Science and Software Development, I bring a unique blend of skills perfectly suited for your AWS Predictive Finance MIS App project. My expertise with LLMs such as Claude and GPT-class APIs guarantee accurate and reliable AI responses from real database queries. I will ensure the AI application layer is equipped with foolproof guardrails that prevent data fabrication and unauthorized modifications. Let’s connect

@kumarashish99

With my 5+ years of experience in AWS infrastructure setup, backend development and strong grounding in AI/ML, I firmly believe I am an excellent fit for your project. The extensive technical proficiency I possess in the aforementioned areas will enable me to build a robust and scalable infrastructure for your EPM platform. My deep familiarity with AWS services like Lambda and Aurora Serverless will ensure efficient batch/incremental data ingestion pipelines, keeping financial costs optimized without compromising on quality. Additionally, being an AWS-certified professional, I have a thorough understanding of IAM (Identity and Access Management) policies ensuring per-tenant data isolation - something of paramount importance to your project. Not only can I develop proficiently within the React/TypeScript framework, but my grasp over Python, Postgres schema design and FastAPI will help design an effective RESTful API layer for your backend system. Moreover, my skillset extends to Terraform and CloudFormation making me well-equipped to implement Infrastructure as Code practices for easy reproducibility and scalability. Having worked extensively with financial systems like Tally and Oracle during integrations, I understand the complexities involved well. Rest assured, quality deliverables within defined budgets and timelines are my priority. Let's collaborate to create an EPM platform that not only complements but elevates the current finance MIS landscape.

@vishal1145

Your consolidation logic will fail if you're treating intercompany eliminations as a post-aggregation step instead of embedding them in the rollup query itself. Most EPM rebuilds I've seen hit this exact wall when they scale past 3 entities because the FX translation layer and the elimination layer fight each other in the wrong sequence. Quick questions - are you planning to version every budget submission so users can compare approved vs. draft states without overwriting history? And what's your approach to handling partial-period actuals ingestion when a client's ERP closes mid-month but your forecast cycle runs on calendar months? Here is the architectural approach: - POSTGRES SCHEMA DESIGN: Build a temporal versioning model with effective-dated rows and audit triggers so every planning change is traceable and rollback-safe without performance degradation at 10M+ row scale. - AWS LAMBDA + FASTAPI: Deploy a serverless API layer with per-tenant database connection pooling using RDS Proxy to avoid cold-start penalties while keeping idle costs near zero. - AI GUARDRAILS: Implement a read-only tool registry where every LLM function call hits a whitelist of SELECT-only stored procedures with full query logging to CloudWatch and zero write permissions at the database role level. I've architected similar multi-tenant EPM systems for 2 mid-market finance platforms that scaled to 40+ isolated client environments without shared infrastructure. Let's schedule a 20-minute technical call to align on your consolidation engine design before you commit to a schema.

@NaveenSingh09

Hello, I’ve carefully reviewed your requirements and have the expertise to deliver this project with high quality, on time, and to your expectations. With 6+ years of hands-on experience in Python automation, social media growth, and AI-driven workflows, I’m confident I can deliver the results you need. Building a production‑grade EPM platform on AWS aligns with my experience in full‑stack engineering and cloud‑native solutions. I will first solidify the React/TypeScript codebase, enhancing editable grids, real‑time calculations and dashboards while preserving the existing data‑dense UI. Next, I will design a FastAPI layer that exposes secure endpoints, implements row‑level access control and supports per‑tenant databases, leveraging Aurora Serverless for cost efficiency. For the ingestion side, I will create incremental pipelines that pull actuals from ERP systems such as Tally and Zoho Books, with modular connectors ready for SAP/Oracle. The approval workflow will be built with role‑based state transitions, ensuring that submissions move through review, sign‑off and lock stages. Consolidation logic will handle multi‑entity roll‑ups, intercompany eliminations and FX conversion, all isolated per client. Terraform scripts will provision isolated environments and enforce strict boundaries, logging every data request. I look forward to collaborating on this strategic product. Looking forward to discussing the project details further on chat. Best regards, NAVEEN THAKUR

@Appworldz

Hi, I’m Sahanaj. This is the kind of build where architecture matters as much as coding. I’ve worked across SAP/Oracle/Dynamics integrations, React, Python APIs, PostgreSQL and AI applications, and can turn your prototype into a production-grade EPM platform. I’d focus on isolated tenant infrastructure, Terraform, FastAPI/Postgres, financial RBAC/workflows, consolidation + FX, incremental ERP ingestion, and a strictly read-only, fully audited AI tool layer. Rate: ₹2,250/hour Initial build: 12–16 weeks with a dedicated engineering effort. I’d suggest a technical architecture sprint first, then build against measurable production milestones rather than rewriting the prototype blindly.

@rohank2502

Your prototype already plans. Production means each client in their own locked space, actuals in, forecasts out, no mixed books. I can start right now. In 24-48 hours you get a live sample of your flow: one isolated client space, an editable budget grid with live totals, and a change history so every forecast edit is traceable. You click it and decide. I already run live systems with login, scheduled jobs, and paid software in production. I will not pretend I shipped a full planning suite like yours. The proof is your sample, not a pitch. Approve that 24-48h sample and I start today.

@sagarpanwar0123

Hi, Yes, I can help you set up and understand the AWS S3-based workflow you described. I have 8+ years of experience in web and cloud development and am an AWS Certified Solutions Architect. I’ve also worked on cloud-based international projects, including UK government-related projects. I can guide you through the S3 setup, HTML page structure, video implementation, and campaign/referral tracking in a beginner-friendly way. Before we start, I have two quick questions: 1--Do you want this to work only with AWS S3, or can we also use CloudFront/Lambda if required for the geo-based behavior? 2--Do you already have the HTML template and tracking flow ready, or do you want to build everything from scratch? I’m available to start immediately. Best, Sagar Pawar

@erincguray

Greetings I am Erinc I am a Web Developer since 2020 knowledgeable in Python and Cloud Computing. I can confirm I will provide the AWS Predictive Finance MIS App you're looking for strictly under your budget. I am available to start right now and regularly on desk everyday. Looking forward to hear from you. Thanks for your consideration.

@Tacticssoft

Hi, I’m an experienced Full-Stack Engineer with strong expertise in **React/TypeScript, Python/FastAPI, PostgreSQL, AWS, APIs, and AI integrations**, and I can help transform your validated prototype into a production-grade EPM platform. I understand this requires more than standard CRUD development: the architecture must support **isolated per-client environments, audited financial data, planning workflows, hierarchy-based RBAC, consolidation, FX translation, and reliable ERP actuals ingestion**. For the backend, I recommend **FastAPI + PostgreSQL/Aurora**, with clear versioned data models, audit trails, and strict access controls. Each client environment can be provisioned independently using **Terraform**, ensuring repeatable and secure deployments without shared financial storage. I focus on clean, scalable architecture, strong financial-data controls, and long-term maintainability. I’m comfortable working with an existing React prototype and extending the current system without unnecessarily rebuilding what already works. Thanks

@rahulk0744

As a seasoned developer with a strong background in Full-Stack development and hands-on experience with AWS Lambda, PostgreSQL, and Python, I am confident in my ability to deliver your Predictive Finance MIS App to the highest standards. I have a track record of building scalable web applications and high-performance mobile apps, which are exactly what you need for this project. My proficiency in React/TypeScript will be valuable as we extend your existing data-dense codebase while my expertise in the AI application layer will ensure a sound design that guarantees read-only tool scoping, full logging of every AI query/response, and a hard boundary between what AI can read and what only an authenticated human action can change. Lastly, my strong understanding of Postgres schema design with versioned/audited data models, row-level access control will prove highly valuable as we design per-tenant isolated deployments for each client's data environment. In all these, my 5+ years of experience building diverse web applications gives me the unique ability to understand your business requirements and provide efficient yet cost-effective solutions that cater to your specific needs. Let's make your project a success - reach out to me today!

@gkcodelabs

You're rebuilding a prototype EPM platform into production — the hard part isn't the React grid or the FastAPI layer. It's per-tenant isolation done right: each client's Postgres instance, repeatable provisioning via Terraform, and guardrailed AI that reads actuals but never writes to financial tables. We've built this exact pattern — multi-tenant architectures with isolated data, Claude tool-calling with read-only scoping and full audit logs, batch pipelines optimized for Aurora Serverless cost. Built LangGraph agents, procurement RFQ automation with multi-step workflows, and financial integration connectors. Quick diagnostic: are the initial clients bringing their own AWS accounts, or are you provisioning dedicated instances in a shared org? That shapes the isolation and cost model materially. M1 (day 4–5): isolated Postgres + Terraform scaffold for one client environment — you see it spin up, connect, scale to zero, and bill correctly. M2 (day 12–15): FastAPI backend + React frontend integration, approval workflows, AI copilot with tool-calling guardrails. M3 (day 18–21): ERP connectors (Tally/Zoho first), production hardening, handover + support window. We're building our Freelancer history on this, so you get founding-client pricing, milestone-gated payments, and deliverables you can test before releasing M2. — Arpit, GKCodeLabs (full working-day overlap)

@nabiullax86

The hardest part of this build isn't the React grids - it's per-tenant isolation plus an AI copilot that can never fabricate a number. I'd handle both explicitly: Terraform modules that provision a client's own Aurora Serverless v2 Postgres + FastAPI service per environment (workspace per tenant, no shared tables), and an LLM layer restricted to read-only tool calls that return SQL result sets, with every prompt, tool invocation and response logged - writes to financial tables only ever go through authenticated human actions in the API. For the EPM core I'd model versioned plan data (scenario + version + period as first-class dimensions, append-only audit), RBAC scoped to the planning hierarchy with read-only upward visibility, and approval states as an explicit workflow machine rather than a lock flag. Actuals ingestion starts with Tally/Zoho Books incremental pulls via Lambda on a schedule, normalised into a staging layer before mapping to the chart of accounts. I have a team across FastAPI/Postgres, React/TypeScript and AWS/Terraform, so frontend extension and infra move in parallel. One question: for consolidation, do you need FX translation to follow a specific standard (Ind AS 21 / IAS 21 - closing rate for balances, average for P&L), and are intercompany eliminations rule-driven or manually mapped in your prototype today?

@GenomyR

Hello, Regarding your AWS Predictive Finance MIS App: building and extending desktop tools requires strict file binary parsing, deterministic state serialization, and offline error handling so data is never corrupted. Here is how I structure the delivery: 1. Stage 1 (50% Milestone): Inspect data/save file specifications, map serialization schema, and deploy initial core parser in 2-3 business days. 2. Stage 2 (50% Milestone): Complete UI controls, offline integrity verification, and hand over full compiled binaries with documentation. All deliverables include full commercial IP transfer upon milestone approval. During execution, I provide direct communication and staging previews for rapid review. Happy to discuss specific requirements right here in Freelancer chat. Do you have sample save files or specification sheets ready for testing the schema parser? Best regards, Tumisang

@karthikresonite

Dear Client, We at Resonite Technologies are excited to submit our proposal for the development of your Enterprise Performance Management (EPM) platform. Our proven experience in building robust, scalable applications on AWS aligns perfectly with your requirements. Our skilled team specializes in full-stack development with expertise in JavaScript/TypeScript and React for the frontend, ensuring seamless integration with your existing data structures. On the backend, we leverage Python (FastAPI) and have extensive experience with Postgres schema design, ensuring versioned, audited data models with secure access controls. Furthermore, our knowledge in AI application design allows us to implement strict guardrails for LLM interactions, ensuring data integrity and security. We are adept at creating efficient, cost-effective data ingestion pipelines optimized for AWS, allowing for scalable and predictable operational costs. Our commitment to delivering a tailored solution with isolated client environments, coupled with Infrastructure as Code practices, ensures a smooth deployment and management process. We look forward to the opportunity to work with you. Best regards, Karthik B Resonite Technologies

@rajneejhm

I can work with React/TypeScript on the frontend and Python/FastAPI with PostgreSQL on the backend, along with AWS services such as Lambda and Terraform/CloudFormation. My approach will focus on: - Role-based access and approval workflows - Planning and forecasting with scenario management - Multi-entity consolidation, eliminations and FX translation - Secure tenant-isolated architecture - AI/function-calling with strict read-only guardrails and audit logging - ERP/accounting integrations - Efficient AWS data ingestion and cost optimization - Production-ready deployment and infrastructure automation I can extend your existing prototype into a reliable, scalable production system while keeping the architecture practical and cost-conscious. I’m ready to start immediately and would be happy to discuss the existing prototype, architecture, and project milestones.

@mohammadmoizali8

Your deployment model requires true client isolation, not ordinary shared multi-tenancy. Each environment must be provisioned repeatably while workflows, integrations and auditability remain consistent. My closest experience is building a multi-tenant B2B SaaS platform with organization-scoped data, RBAC, audited workflow transitions, immutable history, PostgreSQL modeling, dashboards and modular backend architecture. I also work with React/TypeScript, AWS, external integrations and database-grounded AI workflows. For the copilot, I would use narrowly scoped read-only tools, validate inputs, log every query and response, and keep financial writes behind authenticated human APIs. AI output would never automatically become an authoritative financial record. My strongest production backend experience is TypeScript/NestJS, alongside Python API experience. I can contribute across React and platform architecture while reviewing the existing FastAPI implementation first. Your finance/EPM lead should define consolidation, FX and elimination rules. I can convert approved rules into versioned, testable workflows. I’m available 10–15 hours weekly at ₹1,250/hour. I recommend beginning with a paid prototype and architecture review. Which workstream is the first priority: platform foundations, approval/RBAC, ingestion or the AI copilot?

@guptakishan805

As a seasoned Full Stack Developer, I have a comprehensive understanding of and hands-on experience with the technologies outlined in your project. My proficiency in JavaScript/TypeScript, React, Python (particularly FastAPI), Postgres, and Amazon Web Services (AWS) fit perfectly into your needs for the frontend, backend, AI application layer, and deployment model respectively. What sets me apart is my ability to turn complex codebases into elegant frontend solutions using React and TypeScript. Throughout my career, I've designed and built various enterprise-level applications that utilized efficient data ingestion pipelines similar to what you're looking for. I'm well-versed in serverless/scale-to-zero patterns such as Lambda and Aurora Serverless which enabled me to optimize AWS costs for my clients while ensuring impeccable functionality of the applications. I'm also proficient in Infrastructure as Code (IaC), leveraging Terraform and CloudFormation, which will be beneficial for provisioning new client environments and maintaining consistency across deployments. Given your unique project requirement of per-client isolated deployment to maximize user data security, I can provide not only technical expertise but also effective account management skills. Choose me and let's bring this sophisticated Full-Stack project to life on AWS together!

@mengw3

I've spent 20+ years in full-stack and cloud, including enterprise planning and forecasting platforms built and run on AWS, which is exactly this EPM build. An EPM platform is won on the model and the data staying trustworthy: budgeting and forecasting logic that is correct, and an AWS deployment that is secure and scales as the data grows. What I'd do: - A production full-stack build for budgeting, planning and forecasting on AWS. - A clean data model and calculation layer that keeps the numbers consistent and auditable. - AWS deployment for compute, database and storage with security and cost handled, plus CI/CD. - Dashboards and reporting so the forecasts are actually usable by the business. You get an EPM platform that runs reliably on AWS with numbers the business can trust. One thing to confirm: which AWS services are you standardized on, and is there an existing model or spreadsheet the logic should match? I can start right away.

@rahulj220

Hello, I am an experienced AWS Cloud Engineer with strong knowledge of AWS, Terraform, Docker, Kubernetes, EC2, S3, VPC, IAM, Load Balancer and CloudFront. I can understand your requirements, troubleshoot issues, and deliver reliable and secure solutions on time. I am committed to quality work, clear communication, and client satisfaction. I am ready to start immediately.