Aravind
Baranitharan

Building product-grade web and AI experiences that feel fast, memorable, and conversion-ready.

AI Engineer at Tata Consultancy Services
aravindbaranitharan@gmail.com
+91 6379319612

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AI Engineer
Software Developer
Product Thinking + AI Execution

WEB APPS * AI ENGINEERING * MACHINE LEARNING * AGENTIC AI * WEB APPS * AI ENGINEERING * MACHINE LEARNING * AGENTIC AI *
SYSTEM THINKING * UX PRECISION * PRODUCT BUILDING * SAAS * AUTOMATION * PERFORMANCE *

01 — About


Who I Am?— and —What I Do?


AI Engineer at Tata Consultancy Services by day — production LLM systems, retrieval pipelines, and the evaluation infrastructure that keeps them honest. By craft, an independent product engineer shipping web and AI experiences end to end. One operator who owns the outcome.

02 — Process


Tight
Loops.
Honest
Demos.


Weekly demos. No throwaway prototypes. You see the product compound every Friday — not a slide deck, the real thing running on your domain.


Week 1 — Scope

Define the wedge. Cut anything that does not move a metric or a feeling.

Week 2 — Build

Production code from day one. UI, API, and the AI layer threaded together.

Week 3 — Ship

Deployed, instrumented, handed over with docs and a roadmap for what comes next.

03 — Stack


What
I Build
With.


AI & ML

PythonPyTorchTensorFlowscikit-learnHugging FaceOpenCVNumPyPandas

LLM & RAG

OpenAIAnthropicLangChainLlamaIndexPineconeWeaviateChromaDBFAISSAgentsFine-tuning

Web & Product

Next.jsReactTypeScriptNode.jsFastAPITailwind CSSFramer MotionGSAPshadcn/ui

Data & Infra

PostgreSQLMongoDBRedisDockerVercelAWSGitHub ActionsRESTGraphQL

Boring stack on purpose. Stable foundations let the interesting work happen upstream — in the product, the model, and the judgement calls between them.

04 — Experience


The
Experience.


2yrs+

AI Engineer

Shipping LLM systems, retrieval pipelines, and eval infrastructure for enterprise scale.

10+

Independent builds

Web and AI products taken from rough sketches to deployed, instrumented launches.

<2s

LLM response budget

What I design for. Latency is a feature, not an afterthought.


Production code, not screenshots. Every number above maps to something live — auditable in case studies or in repos.

05 — Notes


How I
Use AI.

  • Ship the loop, not the prompt.

    On building

  • Models hallucinate. Pipelines don’t have to.

    On engineering

  • Vibes scale to zero. Evals scale to production.

    On rigor

06 — Let's start


Ready
To
Build?


Bring a problem worth solving. I'll bring the plan, the build, and the polish.

CONTACT

LET'S BUILD

Share your project details and goals. I will get back with a clear plan and next steps.