Services

AI, Automation, and Data Solutions Built Around Real Business Problems

I design and build practical AI systems that help businesses automate repetitive work, use internal knowledge more effectively, monitor performance, and turn data into decisions.

What I Can Build

Each solution starts with the workflow, data, users, and business outcome—not with a tool.

01

AI Agents & Workflow Automation

Intelligent systems that monitor processes, analyze information, generate reports, trigger alerts, and automate repetitive multi-step work.

What I can build

  • AI agents for monitoring and reporting
  • Automated alerts and exception handling
  • Reconciliation and review workflows
  • n8n automations and API-based workflows
  • Scheduled reporting and business notifications
  • Human-in-the-loop approval flows

Useful for

Finance operations, supply chain, internal reporting, repetitive back-office work, operational monitoring, and cross-system workflows.

02

Enterprise AI Chatbots & RAG Assistants

AI assistants that work with company documents, databases, knowledge bases, and internal information to provide grounded, context-aware answers.

What I can build

  • Enterprise knowledge assistants
  • Document Q&A and internal search
  • Role-based RAG systems
  • Customer support chatbots
  • Multilingual AI assistants
  • Citation-grounded responses and abstention logic

Useful for

Internal knowledge access, customer support, policy retrieval, document-heavy teams, research workflows, and organizations that need AI answers grounded in trusted sources.

03

Business Intelligence & Decision Systems

Dashboards, reporting systems, and analytical tools that make business performance easier to monitor and decisions easier to support.

What I can build

  • KPI and executive dashboards
  • Power BI and Tableau reporting
  • SQL-based analytical workflows
  • Financial and operational reporting
  • Performance and variance analysis
  • Decision-support tools

Useful for

Management reporting, finance teams, operations, performance monitoring, business reviews, and organizations that need a clearer view of their data.

04

Custom AI Applications & Integrations

Custom AI-enabled applications connected to the APIs, databases, business systems, and workflows your organization already uses.

What I can build

  • FastAPI and Flask AI applications
  • Internal AI tools and web applications
  • Database and API integrations
  • ERP-connected AI workflows
  • Custom backend services
  • AI features added to existing applications

Useful for

Organizations that need a solution tailored to a specific workflow instead of an off-the-shelf chatbot, dashboard, or automation tool.

Business Use Cases

The same technology can solve very different problems depending on the workflow and data behind it.

Finance & Reporting

Automated reports, KPI monitoring, revenue and loss analysis, financial dashboards, variance analysis, and exception alerts.

Operations & Supply Chain

Inventory monitoring, stock alerts, workflow automation, reconciliation, operational dashboards, and ERP-connected intelligence.

Customer Support

Enterprise AI chatbots, multilingual assistants, FAQ automation, knowledge retrieval, account-aware support, and escalation workflows.

Knowledge & Internal Operations

RAG assistants, internal search, policy retrieval, document intelligence, research support, and knowledge-driven workflows.

From Problem to Working System

01

Discover

Understand the workflow, users, data, pain points, and the outcome that needs to improve.

02

Design

Define the architecture, AI approach, integrations, security requirements, and success criteria.

03

Build

Develop the solution, connect the required components, and test it against realistic scenarios.

04

Integrate

Connect the system with APIs, databases, existing applications, and business workflows.

05

Improve

Evaluate accuracy, reliability, usefulness, and operational fit, then improve where needed.

The Right Solution May Not Be the Most Complex One

I do not assume every business problem needs an LLM, an AI agent, or a large automation stack.

Sometimes the right answer is a dashboard. Sometimes it is a rule-based workflow. Sometimes it is RAG, an AI agent, or a combination of several components. The goal is to choose the approach that best fits the business problem, data, risk, and expected outcome.

What I consider

  • What problem are we actually solving?
  • What data and systems already exist?
  • Where does AI add value over normal automation?
  • What needs human approval or oversight?
  • How will success be measured?

Built With Practical, Modern Tools

AI & LLM

OpenAI · Ollama · RAG · LangChain · LangGraph · Embeddings · Vector Search · Hybrid Retrieval

Backend & Data

Python · FastAPI · Flask · SQL · PostgreSQL · Neon

Automation

n8n · APIs · Webhooks · GitHub Actions

Business Intelligence

Power BI · Tableau · Excel

Development & Infrastructure

Docker · GitHub · AWS

See the Systems Behind the Services

My portfolio currently includes four completed projects across enterprise RAG, customer support, financial monitoring, and inventory operations.

Start With the Problem

Have an AI, Chatbot, Automation, or Data Problem to Solve?

Tell me what you are trying to improve, automate, monitor, or build. I can help translate the problem into a practical technical approach.

Contact Me