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01 — SELECTED WORK2024 — 2026
Selected
projects.
My thesis and recent projects. Each repository includes the code, experiment results and setup notes.
01 / WATER INTELLIGENCEMSc THESIS · SAPIENZA
MODENA
ACTUAL NETWORK TOPOLOGY
ACTUAL NETWORK TOPOLOGY
CYBERSECURITY / MACHINE LEARNINGBeneath
Beneath
the surface.
My thesis classifies five families of sensor attacks in water distribution networks, evaluating a hybrid mixture of experts on Modena and L-Town.
0.904 / 0.908Family macro F1 · Modena / L-Town
Explore the research↗Simulated attacks · 10 model seeds × 6 sources per network. Drift/noise decisions allow a 3-hour evidence delay.
PYTHON / HYBRID MoE / SENSOR SECURITY
02 / WIND INTELLIGENCEPREDICTIVE MAINTENANCE
ENERGY / END-TO-END MLBefore
Before
the failure.
A team project using SCADA measurements to predict failures, monitor turbine health and prioritize maintenance.
48hFailure prediction horizon
Explore the platform↗My contribution: failure prediction. Test PR-AUC 0.597 · Advisory prototype evaluated on synthetic data.
SCADA / FAILURE PREDICTION
CONCEPTUAL WIND FARM
CONCEPTUAL WIND FARM
PYTHON / SHAP / FASTAPI / DOCKER
03 / BATTERY INTELLIGENCEDIGITAL TWINS / NASA AMES
ENERGY STORAGE / MLOpsBattery
Battery
life.
I estimate remaining useful life from NASA battery charge and discharge data. The platform displays prediction intervals alongside cell and fleet status.
12.51MAE · discharge cycles · 5-cell nested LOBO
Explore the digital twin↗Research prototype. Not production-validated; the candidate is not promoted because it fails the worst-cell coverage gate.
LI-ION CELL / ILLUSTRATIVE CUTAWAY
PYTORCH / UNCERTAINTY / FLEET MONITORING
04 / SEARCHLABINFORMATION RETRIEVAL / RANKING
wireless headphones
01Wireless headphonesEXACT MATCH
02Wireless speakerRELATED CATEGORY
03Headphone cableKEYWORD MATCH
LEXICAL+SEMANTIC→LEARNED RANKING
ILLUSTRATION OF THE RANKING PRINCIPLESEARCH / LEARNING TO RANKProduct
Product
search.
I built a search system combining lexical matching, semantic retrieval and a learned ranker over 85,292 products.
+3.39%NDCG@10 · relative gain over original BM25
1,000 held-out ESCI queries; ranking within judged candidates. Not a catalog-wide retrieval metric.
LAMBDAMART / MINILM / FASTAPI
05 / MOTIONLABCOMPUTER VISION / VIDEO SEARCH
FIND
MOTIONLAB00:04.00
OBJECT TRACKING01 MATCH
00:12
Illustrative scene. Select a vehicle or drag the timeline.
VISUAL SEARCH / PRODUCT ENGINEERINGSearch
Search
inside video.
MotionLab searches videos by text or object appearance. Results open at the matching timestamp, and selected frames can be saved to a review board with their source.
Object trackingSemantic searchTimestamped results
Local inference with pretrained models. Documented functional checks; retrieval and tracking accuracy are not yet benchmarked.
COMPUTER VISION / FASTAPI / LOCAL INFERENCEINTERACTIVE ILLUSTRATION
02 / EXPERIMENTSEnter the Lab ↗
Other
experiments.
COMPILERS / VECTOR COMPUTING
Vela ↗
From a neural network to a sixteen-instruction vector core. A compiler, a simulator, and an independent verifier.
NEURAL SYSTEMS / EXPERIMENT
Sinek-C5 ↗
A connectome-constrained vision and neural-response experiment. Not a complete biological fly emulation.
GAME THEORY / INTERACTIVE
The Last Move ↗
4 × 4 Hex. The machine moves first and knows how to win. How close can you get?
One more thing.
IN DEVELOPMENT FOR MAC
Halo.
Try the capsules above.
At the top of your screen.
Media, a running timer and files appear as separate capsules. Open the one you need.
Interactive web preview · Example content
A CLOSER LOOK AT HALOA small panel.
A small panel.
For everyday tasks.
Timer and shortcuts
Set a duration with your mouse. Access clipboard history and screenshots in the same panel. Clipboard history stays off until you enable it.
File shelf
Drop files onto the shelf, preview with Quick Look and drag into another app. Originals stay in place; dragging out creates a copy.
Halo: Desktop Island
In development. Not released yet.
Being developed for macOS 14 and later, with layouts for notched and notch-free displays.
Get in touch about Halo ↗Synced lyric availability depends on the track and provider.03 / ABOUTANKARA → ROMA
A bit
about me.
I'm a computer engineer and a Data Science MSc candidate at Sapienza University of Rome. I like understanding complex systems, then building something with what I learn.
I work on machine learning, computer vision and search systems. I care about evaluating the models and building applications people can use.
FOCUSMachine learning · Research · MLOps
LANGUAGESTürkçe · English · Italiano · Deutsch
2026
MSc Research
Sapienza · Roma
2023
Embedded Systems R&D
KAREL · Ankara
2022
Software Engineering Intern
Revenue Administration
2021
IEEE Student Branch President
OSTIM Technical University
04 / WRITINGAll writing ↗
Football,
music.
I write about the matches I watch and the albums I listen to.
05 / CONTACTROMA, ITALIA
You can email me to talk about a project.
Get intouch.