AI Consultant
Strategy. Integration. Delivery.
I help startups and product teams cut through AI hype and build things that actually work — LLM integrations, machine learning features, chatbots, and AI automation. 7+ years engineering experience. Based in India. Remote worldwide.
Companies I've Worked With
Trusted by innovative teams and forward-thinking organizations
AI Consulting Services
End-to-end AI consulting — from strategy and architecture through to working code in production.
AI Strategy Consulting
Assess your current stack, identify where AI creates real leverage, and produce a phased implementation roadmap. No buzzwords — just a clear decision on what to build first and why.
AI Strategy · AI AdvisoryLLM & ChatGPT Integration
Integrate OpenAI, Anthropic Claude, or open-source LLMs into your existing application. Chat interfaces, document Q&A, content generation, function calling, and RAG pipelines.
ChatGPT Consulting · LLM APIsConversational AI & Chatbots
Custom chatbots that go beyond simple FAQ scripting — built on LLMs with tool use, memory, and context retrieval. Django, FastAPI, or standalone. Deployed on your infrastructure.
Conversational AI · Chatbot ConsultantMachine Learning Consulting
Integrate ML models into production applications — recommendation systems, classification, anomaly detection, and NLP features. Model selection, API design, and serving infrastructure.
ML Consulting · Applied AIMLOps & AI Infrastructure
Set up model serving, monitoring, versioning, and retraining pipelines on AWS. Make sure your AI features stay accurate in production — not just at demo time.
MLOps Consulting · AWS AIAI Code Review & Security
Built your app with Cursor or Copilot? I audit AI-generated codebases for security vulnerabilities, missing tests, and production gaps before they cause incidents.
AI Code Audit · Vibe Coding FixDoes This Sound Like You?
If any of these match your situation, you're in the right place.
"I know AI could help my product — I just don't know where to start."
You've seen what LLMs can do, but you're unsure whether your use case needs GPT-4, a fine-tuned model, or something simpler. The strategy session gives you a clear answer in 2 hours.
"We want an AI feature but can't wait 6 months to hire a ML engineer."
Hiring a full-time ML engineer takes time and costs $120K+/yr. For most product features, you don't need one — you need an integration built correctly. That's what I do.
"Our AI prototype works in demos but breaks in production."
Prompt engineering and API calls are easy. Handling latency, rate limits, fallbacks, cost control, and edge cases at scale is where most AI features fall over. I fix that layer.
"We have an existing Django/Python app and want to add AI to it."
Most AI consultants don't understand backend systems. I do — Django ORM, Celery, PostgreSQL, AWS. AI features I build fit cleanly into your existing architecture, not bolted on the side.
AI Consulting Packages
Fixed-price engagements for predictable scope. Hourly available for ongoing advisory.
2-hour deep-dive. Walk out with a clear, actionable AI roadmap.
- Current stack & data audit
- AI opportunity mapping
- Build vs. buy recommendation
- Prioritised implementation roadmap
- Written summary delivered same day
Full implementation of one AI feature — from design to production deployment.
- Everything in Strategy Session
- Architecture & API design
- LLM / ML integration built & tested
- Deployed to your server or AWS
- Documentation & handoff session
- 2 weeks of post-launch support
Retainer for ongoing AI consulting, reviews, and implementation support.
- Async Q&A (Slack / email)
- Code reviews on AI features
- Architecture decisions as you scale
- Monthly strategy check-in call
- Min. 10 hrs/month
How AI Consulting Works
From first call to working feature in production — no ambiguity at any step.
Discovery Call
30 minutes. I learn your stack, your problem, and what success looks like.
AI Audit
Review your data, APIs, and infrastructure. Identify the right AI approach for your specific situation.
Roadmap
Written plan: what to build, in what order, with what tools, and why. No vendor lock-in.
Build & Integrate
I write the code, integrate the models, and test against your real data — not toy examples.
Deploy & Hand Off
Deployed to production with monitoring. Full knowledge transfer so your team owns it.
Why an Independent AI Consultant?
AI consulting companies charge enterprise rates. You get a senior engineer instead.
No Agency Overhead
AI consulting firms charge $150–300/hr and pass your project to a junior. You talk directly to me — the person writing your code. $20/hr for the same depth of expertise.
Full-Stack Context
Most AI consultants understand models but not systems. I understand both — Django backends, AWS infrastructure, and database design — so AI features fit cleanly into your architecture.
No Vendor Bias
I don't have a partnership with OpenAI, AWS, or Google Cloud. I recommend what fits your problem — open source, managed APIs, or a hybrid — based on cost and requirements.
Production-First
A working demo is not the deliverable. Production deployment, monitoring, fallback handling, and cost management are part of every engagement.
From the Blog
Practical articles on Django, Python, AWS, and software development.
Frequently Asked Questions
What does an AI consultant actually do?
An AI consultant assesses your business problem, identifies where AI creates measurable leverage, selects the right tools and models, and implements the solution. Good AI consulting is specific — not "AI will transform your business" but "here is the API call, here is the integration point, here is the expected latency and cost."
Do I need machine learning or is LLM integration enough?
For most product features — chatbots, document search, content generation, classification — LLM APIs (OpenAI, Claude, Gemini) are faster to ship and cheaper to maintain than custom ML models. Custom ML makes sense when you have proprietary training data and a repeated prediction task where off-the-shelf models underperform. The strategy session determines which applies to you.
What is MLOps consulting and do I need it?
MLOps is the practice of deploying, monitoring, and maintaining ML models in production. You need it if you're serving a custom model — tracking drift, managing retraining, versioning endpoints. If you're using managed LLM APIs, MLOps is largely handled by the provider. I'll tell you honestly which situation you're in.
Can you work with my existing Django or Python app?
Yes — this is where I have the most experience. Adding AI features to an existing Django backend (LLM-powered search, AI-generated content, automated classification of user data) is a common engagement. I know the Django ORM, async patterns, Celery, and AWS deployment cold.
How is this different from your AI code review service?
The AI code review is for auditing code that was already written by AI tools (Cursor, Copilot) for security vulnerabilities. AI consulting is for building new AI features from scratch — strategy, architecture, and implementation. They're complementary: build with AI consulting, then audit the result with AI code review.
What's the minimum engagement?
The AI Strategy Session is the minimum — $199, 2 hours, and you leave with a written roadmap. No obligation to continue. Most clients proceed to the integration project after the strategy session because they have a concrete plan and know exactly what they're getting.
Ready to Add AI to Your Product?
Start with a 30-minute discovery call. No commitment — just a clear picture of what's possible and what it will cost.
Book a Free Discovery Call →