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Krishna Ojha Leon · Dev
AI & Machine Learning

AI development that does real work

I design and build AI systems that plug into how your business already works — agents that use your tools, assistants that answer from your own documents, and vision or speech models tuned to Indian conditions.

Every engagement starts with a small, measurable prototype, so you see accuracy and running cost on your own data before committing to a full build.

Prototype of a private AI assistant answering questions from company invoices
Prototype screen · AI & Machine Learning

What my AI development service includes

AI agents & copilots

Agents that call APIs, query databases, fill forms and hand over to a human when needed — with logs you can audit.

RAG chatbots

Answers grounded in your PDFs, policies, tickets or ERP data, with source citations and access control.

Private / on-prem LLMs

Llama, Mistral, Qwen or Whisper on your own GPU server or VPS using Ollama or vLLM — data never leaves you.

Computer vision

Object detection, OCR, quality inspection, ID checks and AI-generated / deepfake image detection.

Speech & Indian languages

Hindi and regional speech-to-text, intent detection and voice bots for call centres and service counters.

Fine-tuning & evaluation

Domain fine-tuning with LoRA, evaluation sets, guardrails and cost / latency optimisation.

Who it’s for

  • →Customer-support assistants on WhatsApp or the web
  • →Invoice, KYC and document data extraction
  • →Internal knowledge search for staff
  • →Lead qualification and automatic follow-ups
  • →Content moderation and deepfake checks
  • →Forecasting and anomaly detection on business data

Technology

OpenAIClaudeGeminiLlamaMistralOllamavLLMLangChainLlamaIndexPyTorchHugging FaceOpenCVYOLOWhisperpgvector / QdrantFastAPI

How your AI development project runs

  1. 01

    Use-case workshop

    Pick one workflow and define what a good answer or outcome looks like.

  2. 02

    Data & prototype

    A working demo on your real data in the first sprint.

  3. 03

    Evaluate

    Accuracy, cost per request and failure cases are measured, not guessed.

  4. 04

    Production

    Secure APIs, admin dashboards, monitoring and a clean handover.

AI Development — frequently asked questions

Which AI model will you use?+

The one that fits your accuracy, privacy and budget needs. I compare cloud models (OpenAI, Claude, Gemini) with open models (Llama, Mistral) on your own data before recommending one.

Can the AI work with our existing software?+

Yes. Agents connect through APIs, databases, spreadsheets or browser automation to the tools you already use — CRM, ERP, WhatsApp and email.

Is our data safe?+

Each feature only gets the data it needs, API keys stay on your servers, and for sensitive work the whole model can run on-premise.

How long does an AI prototype take?+

A focused prototype on one workflow fits in a short sprint. The exact timeline is agreed after the first call, once the data and goal are clear.

Planning your AI development project?

Send a short message on WhatsApp — a rough idea is enough. You will get questions, a plan and a quote.