Amazon ML Challenge
Cyber Titans reached Rank 83 with a 45.35 SMAPE final submission after repeated model and evaluation iterations.
finding the signal
Available for ambitious product work
Rahul is an applied AI/ML engineer who turns messy problems into working products — from resilient cloud operations and multimodal RAG to offline accessibility tools.

Evidence, not noise
Awards matter. Working prototypes, merged PRs, and repeatable technical decisions matter more.
Cyber Titans reached Rank 83 with a 45.35 SMAPE final submission after repeated model and evaluation iterations.
SmartOps reached the national final stage after a nine-month innovation journey.
Knight level. 2,570 submissions across 351 active days.
Selected systems
Each story starts with the problem, keeps the hard parts visible, and avoids claims the evidence cannot support.

Designed a human-reviewed AI operations loop that observes failures, diagnoses the likely cause, proposes a fix, and learns from the SRE team’s feedback.

A price-prediction system refined through leaderboard drops, better pooling, outlier control, and a final Rank 83.

An offline assistive prototype pairing wearable visual input with a Flutter app for object, text, and face assistance.
Open source
Small, precise fixes across mature Python libraries — the kind of work where the details actually matter.
Optional detour
Take the RR Signal Route: a light, keyboard-friendly interactive map of the work, timeline, and proof points. It opens separately, so this page stays exactly where you left it.
On-device bilingual smart replies for non-speaking individuals. Speech in, a considered response out — without handing a conversation to the cloud.
A Kotlin and Jetpack Compose chat app built around Firebase authentication, real-time messaging, MVVM, and a deliberately maintainable structure.
A controlled voting-system prototype exploring Solidity auditability alongside biometric verification, a Next.js interface, Flask services, and Arduino hardware.
Independent work / names respectfully withheld
A few projects were delivered privately, so the portfolio shows the problem space and the engineering work — never a client name, dataset, or claim that should stay confidential.
A workflow for classifying suspicious job listings and matching opportunities to a supplied résumé, with structured extraction from public job links.
A research prototype combining tabular classification and image-led signals with nearby-care discovery. It is not a diagnostic product or medical advice.
A mobile view of wirelessly collected Arduino sensor readings so growers can check humidity and related field conditions without standing beside the hardware.
An ML research workflow exploring predictions over protected smart-grid data, designed around the requirement that sensitive data should not be exposed just to make a model useful.
Contact / no forms of ceremony required
A product idea, an AI system that needs a sanity check, or a film recommendation — Rahul reads every thoughtful note.