
Hey — I'm Adi.
Applied AI engineer.

I
am
an
applied
AI
engineer
working
at
the
intersection
of
machine
learning
computational
modeling
and
production
systems.
I
build
end
to
end
AI
infrastructure
research
modeling
algorithmic
design
backend
architecture
automation
pipelines
and
deployment
in
demanding
multidisciplinary
R&D
environments.
I
care
about
scientific
rigor
operational
reliability
and
long
horizon
systems
thinking
especially
for
physics
driven
data
intensive
problems.
Autodidactic collaborative and growth driven excellence distinctions from military and Ministry of Education. Open to collaborations where ambitious engineering meets real world impact.
The trip
Four legs — analyst work, hardened backends, quant product, and mission-critical applied ML.
Israeli Military Intelligence · INI
Tel Aviv · on-site
Elite multidisciplinary R&D: AI-driven computational systems for physics-heavy domains, end-to-end data pipelines, ML/DL in performance-critical simulation-adjacent stacks. INI Commander’s Excellence Distinction (2026).
Quantrade
Remote
Quant equity & macro work plus Quantrade: private portfolio optimization SaaS — ML recommenders, risk-parity allocation, Monte Carlo engines, systematic construction grounded in modern portfolio theory.
SheeldS (Arilou Automotive Cybersecurity)
Ramat Gan · part-time
Fleet-scale automotive cyber telemetry: Python parsers from CAN to threat-ready models, automation for logs and IR in ISO 21434-grade production.
Nebius Israel
Tel Aviv · part-time
Large-scale web acquisition, unstructured → analysis-ready assets, automated pipelines and reporting for scale and reliability.
Selected work
Quant platform, defense-scale ML/CFD stacks, and production backends — links where public.
SkyGuardML is a real-time detection and tracking system optimized for tiny aerial objects, combining a custom YOLO11 architecture with advanced tracking and post-processing to achieve high-accuracy performance on challenging micro-targets. It integrates detection, tracking, analytics, and visualization into a unified pipeline for scalable, production-grade aerial surveillance.

WaveR is a high-resolution ocean forecasting and routing engine that combines real-time wind, wave & advanced metrics data with interactive visualization to support marine decision-making. It enables users to analyze forecasts at any point or plan optimized multi-leg routes with dynamic conditions and ETA calculations.

TerraFlow is a data-to-simulation pipeline that converts real-world terrain and building data into CFD-ready environments for accurate water and wind flow analysis. It automates the full workflow—from geospatial ingestion to simulation outputs—enabling scalable, physics-based environmental modeling.

ISO 21434-aligned CAN parsing, structured threat models, and backend automation for fleet-scale detection platforms (SheeldS / Arilou).
More detail in conversation.
Let’s build something sharp
Best first touch is LinkedIn — or email if you prefer a longer brief.
adivardi2005@gmail.com