Aditya Sankranthi

AI Engineer

Precision-built AI, proven on the leaderboard.

I’m Aditya Sankranthi - AI Engineer with 5 years shipping production AI across healthcare, finance, and retail, and agentic systems that beat the big labs on the metrics that matter.

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GPT-5.5 RACE score on DeepResearch Bench · top-10 published score band

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Selected work

A flagship I can show in full, plus five years of production systems I built in the field.

Research Agent

43.13 RACE on DeepResearch Bench — top-10 published score band

An AI web-research agent benchmarked against real leaderboard entries: plan a coverage map, gather evidence, audit for gaps, write the report once, then verify every citation — on a small, cheap model, with no orchestration framework.

Agentic AILLMsPythonFastAPIReactEvaluation
Read the case study

A national healthcare system · Sep 2024–Present

Patient readmission risk

End-to-end system to predict patient readmission risk from EHR data

Cleaning and feature-engineering on Databricks, deep-learning classifiers in TensorFlow, high-availability inference on AKS, and drift monitoring with automated retraining.

PythonTensorFlowDatabricksMLflowDockerAzure/AKS

A global financial services company · Aug 2022–Jul 2023

Credit-card fraud detection

Fraud detection pipeline validated with fraud analysts

Features like transaction velocity and spending patterns, class-imbalance handling, and batch scoring pipelines on Azure ML, validated with fraud analysts.

PythonScikit-learnSparkMLflowAzure ML

A national retail chain · Apr 2020–Jul 2022

Recommendation engine

Deep-learning recommender for online retail

Behavioral and product-metadata features, deep-learning recommenders in PyTorch on GCP, served via FastAPI, offline-evaluated and periodically retrained.

PythonPyTorchFastAPIGCP AI PlatformPostgreSQL
Coming soon
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About

I was drawn to AI by a simple obsession: how does intelligence actually work — the accuracy, the context, the reasoning? That question has taken me from India to Italy to USA, and into building the systems that try to answer it.

I did my bachelor’s in Internet & Communication Technology at the University of Rome - Tor Vergata, and my master’s in Computer Science at the University of Wisconsin–Milwaukee, Satya Nadella’s (CEO Microsoft) alma mater, too. Moving across three countries taught me the things a CV doesn’t list: adaptability, resilience, self-discipline, and how to thrive somewhere new from day one.

Away from the terminal I’m happiest around cars, good architecture, and the outdoors — mountains, coast, anywhere green. I care about craft in all of it, which is probably why I care about it in engineering too.

“We’re not even a Type I civilization on the Kardashev scale yet. There’s a lot left to build.”

Aditya Sankranthi
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Let's talk.

Open to AI Engineer roles in the US — on-site or remote.

sankranthiadityaa@gmail.com
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