full-stack software // backend platforms // ERP and AI automation full-stack // ERP // AI automation

Ramesh Choudhary

I build full-stack systems that automate real business operations.

I design and ship full-stack software products, .NET service backends, Angular/React interfaces, and AI-enabled workflow automations for operations where ERP data, documents, e-commerce, IoT telemetry, and analytics have to work together reliably. Full-stack engineer building .NET, Angular/React, ERP, and AI automation systems.

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5+ years building enterprise software

5+ apps full-stack business applications shipped

10+ automations AI and ERP workflows delivered

Full-stack .NET, Angular, React, Python

> ls ./case-studies/

Production Systems

scope: full-stack // ERP automation // data

docxter.sys active

DocXter: Multi-Agent Invoice Automation

A production agentic AP system for a Texas-based wholesale distributor, built to move invoice intake from manual document review to exception-driven automation. AI invoice automation for AP review and ERP sync.

Python FastAPI Agentic AI ChromaDB LiteLLM Epicor Eclipse ERP

problem Supplier invoices, ledger checks, and ERP updates were spread across manual AP steps.

system Cooperating LLM agents parse documents, retrieve context, validate fields, and synchronize approved records with Epicor Eclipse ERP.

outcome Repetitive AP triage is automated while human review stays focused on exceptions and business edge cases.

amazon_ops.sys active

Amazon Operations Automation

Full-stack automation layer for Amazon order, pricing, and inventory operations integrated directly with Epicor Eclipse ERP. Amazon order, pricing, and inventory automation.

.NET Amazon APIs Epicor Eclipse ERP Order Automation Pricing Sync Inventory Sync

problem Marketplace orders, catalog pricing, inventory availability, and ERP records needed to stay synchronized without manual re-entry.

system Automated Amazon API workflows handle order intake, pricing updates, inventory sync, and Epicor Eclipse ERP handoffs.

outcome Operations can manage Amazon commerce flows from a connected system instead of reconciling marketplace and ERP state by hand.

aht_iot.sys online

Accoona AHT: Asset Telemetry Engine

Industrial IoT monitoring for asset health telemetry, diagnostics, and visibility across connected field devices. IoT telemetry for asset health and diagnostics.

.NET Angular MQTT AWS DynamoDB MicroPython

problem Distributed assets needed live operational visibility instead of fragmented device-level checks.

system Raspberry Pi Pico nodes stream telemetry into a centralized backend and Angular interface with diagnostic notifications.

outcome Teams get a real-time asset health loop for monitoring, alerting, and faster investigation.

overwatch_analytics.sys idle

Overwatch: API Aggregation & Analytics

E-commerce data aggregation layer connecting Amazon Central, Magento, databases, and BI reporting. Marketplace APIs normalized for BI reporting.

.NET AWS Lambda Amazon APIs Magento MariaDB Power BI

problem Sales and marketplace data lived across APIs and stores with no single reporting source.

system Serverless ingestion jobs normalize API streams into relational storage and Power BI-ready models.

outcome Operators get a unified analytics layer for sales, inventory, and marketplace decisions.

limco_invest.sys deployed

LIMCO: Investor Portfolio Portal

Secure client-facing investment portal for balances, reporting workflows, and document access. Secure investor portal for balances and reports.

.NET Framework ASP.NET MVC SQL Server

problem Portfolio information, generated reports, and document delivery needed a controlled digital workflow.

system ASP.NET MVC portal with SQL Server, automated report generation, and encrypted document storage.

outcome Investors can self-serve portfolio visibility while operations keep sensitive document handling centralized.

> cat operating_principles.md

How I Build

Build the software foundation first.

I start with clean data models, reliable APIs, practical interfaces, and clear workflow states. AI is added where it creates leverage, not where normal software should be doing the job. Clean models, APIs, interfaces, and workflow states first.

Design for integration pressure.

ERP, marketplace, banking, invoicing, IoT, and BI systems fail in different ways. I build explicit sync boundaries, idempotent jobs, and observable handoffs so operations can trust the pipeline. Clear sync boundaries, repeatable jobs, and visible handoffs.

Ship usable systems, not demos.

The goal is software that survives real users: maintainable code, clean interfaces, stable backends, useful error states, and enough automation to remove toil without hiding risk. Maintainable systems with clean interfaces and useful error states.

> exec --inspect /sys/capabilities

Capability Matrix

A multi-window terminal workspace displaying all technology stack partitions simultaneously. Hover over panels to inspect detailed telemetry. Core stack across full-stack, backend, AI, data, IoT, and integrations.

fsd.conf

ONLINE

C# / .NET Applications [PORT 443]

██████████ 100%

Angular [PORT 4200]

████████░░ 80%

React [PORT 3000]

█████████░ 90%

TypeScript [JS_COMP]

█████████░ 90%

ASP.NET MVC [LEG_MVC]

██████░░░░ 60%

$ cat readme.md

Builds robust client applications with state management, unified UI design systems, and responsive control panels. Specializes in Angular and React frontends backed by solid C#/.NET services._

bep.conf

ONLINE

C# / .NET Services [SRV_NET]

██████████ 100%

Python / FastAPI APIs [SRV_PY]

████████░░ 80%

AWS Lambda [SRV_SRV]

█████████░ 90%

RabbitMQ / SQS [Q_BUS]

████████░░ 80%

Azure DevOps CI/CD [CD_PIPE]

█████████░ 90%

$ cat readme.md

Architects distributed backends, RESTful and gRPC APIs, background workers, and message buses. Uses serverless compute and CI/CD pipelines to ensure 99.9% uptime and zero-downtime deployments._

aia.conf

ONLINE

Multi-Agent Systems [COG_AGT]

██████████ 100%

RAG Architectures [COG_RAG]

██████████ 100%

Tool Calling [COG_CAL]

█████████░ 90%

LiteLLM [LLM_LIT]

████████░░ 80%

Vector Search [VEC_SRH]

█████████░ 90%

Document Automation [DOC_AUT]

██████████ 100%

$ cat readme.md

Engineers autonomous agent workflows, advanced Retrieval-Augmented Generation (RAG) architectures, semantic vector indexing, and automated invoice/document processing pipelines that augment human operations._

dat.conf

ONLINE

SQL Server [DB_MSSQL]

██████████ 100%

PostgreSQL [DB_POSTG]

█████████░ 90%

MariaDB & MySQL [DB_MYSQL]

██████░░░░ 60%

AWS DynamoDB [DB_DYNDB]

████████░░ 80%

ChromaDB / PgVector [DB_VEC]

█████████░ 90%

$ cat readme.md

Designs transactional database schemas, indexes, and queries. Optimizes read/write pipelines, implements caching strategies, and sets up high-performance semantic vector stores for AI systems._

iot.conf

ONLINE

MQTT [NET_MQTT]

█████████░ 90%

Raspberry Pi Pico [HW_PICO]

████████░░ 80%

MicroPython [HW_PY]

████████░░ 80%

Telemetry Pipelines [SYS_PIPE]

██████████ 100%

Device Diagnostics [SYS_DIAG]

█████████░ 90%

$ cat readme.md

Develops firmware, edge connectivity protocols (MQTT), and cloud ingestion pipelines for sensor grids and microcontrollers. Creates diagnostic panels and alert streams for physical assets._

int.conf

ONLINE

Epicor Eclipse ERP [ERP_ECLI]

██████████ 100%

JPMC Lockbox [FIN_JPMC]

█████████░ 90%

BillTrust [FIN_BTRU]

████████░░ 80%

Amazon APIs [MKT_AMZN]

██████████ 100%

Magento [MKT_MAGE]

██████░░░░ 60%

Power BI [BI_PWER]

████████░░ 80%

$ cat readme.md

Solves complex integration challenges between enterprise ERP systems, electronic banking lockboxes, inventory APIs, and business intelligence layers. Establishes idempotent runs and sync monitors._

> ping connection_endpoint

Build the Next System

I am strongest where full-stack product development meets operational complexity: .NET backends, Angular/React interfaces, ERP integrations, AI automations, IoT telemetry, and analytics pipelines. Full-stack systems, ERP integrations, AI automation, and dashboards.

full-stack software development .NET backend platforms agentic workflow automation Epicor Eclipse integrations Amazon, JPMC, BillTrust workflows

PROTO: SMTP sde.RameshC@gmail.com PROTO: HTTPS linkedin.com/in/ramesh-c PROTO: SSH github.com/itsC-Ramesh

LOC : PNQ Pune, MH, India