Applied AI / ML Consulting
AI that ships, not just AI that demos.
Reddy Applied partners with teams to take machine learning and LLM ideas from prototype to production — with the infrastructure, evaluation, and engineering rigor to make them actually work.
Built for teams who need AI that survives contact with production
Services
Where I can help
AI Strategy & Roadmapping
Cut through the noise on what AI can realistically do for your product. Scope the right use cases, evaluate build-vs-buy, and set a roadmap your team can actually execute.
ML & LLM Product Development
Hands-on design and implementation of ML pipelines, LLM-powered features, and agentic systems — from first prototype to a system your users depend on daily.
Evaluation & Reliability
Build the evals, guardrails, and monitoring that turn a promising demo into something you can trust in production — with clear metrics for quality, cost, and latency.
Data & Model Infrastructure
Design the data pipelines, feature stores, and deployment infrastructure that let your models scale without falling over.
Team Enablement
Upskill your engineers and PMs on modern ML/LLM tooling and workflows so the capability stays in-house after the engagement ends.
Technical Due Diligence
Independent, technical assessment of an AI product, team, or vendor — for investors, acquirers, or leadership making a build decision.
Approach
How an engagement works
Diagnose
A focused discovery phase to understand your product, data, and constraints — and to identify the highest-leverage place to start.
Build
Hands-on implementation, working alongside your team rather than handing off a deck. Short iteration cycles, real production code.
Measure
Evals and metrics defined up front, so you know whether what shipped is actually working — not just whether it looks good in a demo.
Hand off
Documentation and knowledge transfer so your team owns the system with confidence once the engagement wraps.
About
Hi, I'm Akhil Reddy.
I'm the founder of Reddy Applied. I work with founders and engineering leaders who need to move an AI initiative from "interesting idea" to "shipped, reliable product" — without over-hiring or over-building before they know what's worth investing in.
Engagements are intentionally small and hands-on: a single point of contact, direct involvement in the code and the decisions, and no layers of account management in between.
Good fit if you're...
- Shipping an LLM or ML feature and need it to be reliable, not just impressive in a demo
- Deciding whether to build AI capability in-house or buy it
- A small team that needs senior ML/AI expertise without a full-time hire
- Evaluating an AI product, vendor, or acquisition target
Contact
Let's talk about your AI roadmap.
Tell me a bit about what you're working on and I'll get back to you within a couple of days.
Or email directly: hello@reddyapplied.com