AI & Intelligent Automation
Generative and agentic AI wired into real business systems — RAG pipelines, multi-agent workflows, LLM integration, and MCP tooling that automate decisions and operations instead of sitting beside them.
My current focus is helping organisations put generative and agentic AI to work inside real systems — not demos. That means the model is one part of a larger design: retrieval, tool use, evaluation, guardrails, and the plumbing that connects it all to the data and workflows that already exist.
AI Solutions I Build
Transforming Business Challenges into Intelligent AI Solutions
From conversational AI and autonomous agents to enterprise automation and predictive intelligence, I build scalable AI solutions that integrate seamlessly with your business processes and deliver measurable outcomes.
LLM Integration and Fine-Tuning
Connect leading models to your products, data, and workflows with grounded prompts, evaluations, and deployment controls.
RAG Knowledge Systems
Build retrieval pipelines that answer from approved documents, tickets, contracts, and internal knowledge bases.
Autonomous AI Agents
Design agents that use tools, remember context, and complete multi-step business processes with human approval.
MLOps and Model Monitoring
Ship monitored model APIs with drift checks, release controls, retraining paths, and cloud-native observability.
Computer Vision Automation
Automate inspection, OCR, classification, and visual workflows across operations and customer-facing products.
Responsible AI Audits
Assess bias, privacy, accuracy, security, and compliance before AI becomes part of business-critical workflows.
AI Technology Stack
Building successful AI solutions requires more than selecting a language model—it demands a carefully engineered technology ecosystem that ensures accuracy, scalability, security, and long-term maintainability. I leverage a modern AI stack comprising industry-leading Large Language Models (LLMs), agent frameworks, vector databases, cloud infrastructure, and enterprise-grade backend technologies to deliver intelligent applications that perform reliably in production. Every technology is chosen based on your business objectives, integration requirements, performance expectations, and future scalability, ensuring your AI solution is built on a robust and future-ready foundation.
LLM Providers
- OpenAI GPT
- Claude
- Gemini
- Llama
- Mistral
Agent Frameworks
- LangGraph
- LangChain
- CrewAI
- AutoGen
- MCP
Backend
- Python FastAPI
- Java Spring Boot
- Node.js NestJS
- Go Golang
- RESTful Services
Frontend
- React Next.js
- Angular
- TypeScript
- Bootstrap, Tailwind CSS
- ChakraUI, Shadcn
Vector Databases
- PGVector
- Pinecone
- Weaviate
- Milvus
- Chroma
Deployment
- Docker
- Kubernetes
- DigitalOcean
- AWS
- Azure
Related work
AegiSense — Multi Tenant Identity & Authorization Platform
AegiSense is a self-hosted enterprise identity and authorization platform built for regulated, on-premise, and high-scale environments. It unifies RBAC, ABAC, ReBAC, SSO, federation, user lifecycle, tenant isolation, and identity governance through a centralized policy engine.
A dedicated AI service adds natural-language administration and policy intelligence, while a unified WCAG AA–compliant console provides centralized control.
Read moreRelated reading
Major Large Language Models (LLMs) of 2026: Ranked by Capability, Sized by Parameters
A ranked look at the 15 large language models defining 2026 — from Anthropic's Claude Opus 5 and Fable 5 at the top of the leaderboard to trillion-parameter open-weight releases…
July 31, 2026The Generative AI Power Rankings: 15 Companies Defining the Industry in 2026
From ChatGPT's 2022 debut to Anthropic's $965B valuation in 2026, meet the 15 companies defining generative AI, their history, funding, and what's next for businesses and…
July 30, 2026Top Generative AI Companies in 2026: Hardware, Foundation Models, Cloud Platforms & AI Services
A breakdown of the generative AI market's three layers in 2026 — GPU/hardware suppliers, foundation-model builders and platforms, and AI services firms — with market-share data…
July 30, 2026Agentic AI Development
Go beyond chatbots. This series takes you from LLM foundations to fully autonomous, tool-using AI agents in Python — no framework required at first, then rebuilt on the Claude Agent SDK and LangGraph. Master prompting for agents, MCP, memory architectures, and multi-agent orchestration, then ship tw
Generative AI: The Complete Guide for Businesses and Developers
A practical, end-to-end guide to generative AI — covering foundation models, prompt engineering, RAG, agents, deployment, and enterprise governance.
Why Clients Choose to Work With Me
Modern Technology Stack
I choose the right & future-proof technologies for long-term success.
Business-Focused Solutions
I focus on solving business challenges rather than simply writing code
Security First
Security is integrated into every layer including compliance and auditing
AI-Native Development
I build AI-powered applications using LLMs, RAG, Agentic AI, MCP, workflow automation