Feasibility Sprint
Know if it works before you buy hardware.
1–2 weeksExplore
Tom Adler · Engineer, Israel
I build systems that sense, stream and think.
From a sensor on a circuit board to live video and AI in the cloud, I design, build and ship the whole chain. Here's what I can build for you, and what I've built so far.
One engineer across the whole chain
SenseSensors, boards and firmware
IMUCameraNFCESP32
StreamLive video and data links
RTMPLiveKitLoRa
ThinkDetection, navigation and AI
YOLOSensor fusionBedrock
One working system, bench to field
Services
What I can build for you
Each one has a clear output and a typical timeline. Open one to see what's included.
Prototype Build
A working unit on your bench, source included.
3–6 weeksExplore
Detection Pipeline
Cameras in, alerts out.
4–8 weeksExplore
GPS-Denied Navigation
Keep position when GPS is jammed.
4–8 weeksExplore
Device Security Review
Find the weak points before someone else does.
1–3 weeksExplore
Ongoing Support
Regular engineering hours alongside your team.
MonthlyExplore
Projects
Selected work
From hardware on a desk to services in the cloud. Each page covers the benefits and how it works. Client names stay private.
01
Drone detection with live video
A large-scale drone-detection pipeline integrated with live video streaming, so operators see the detections and the feed together.
- One screen. Detections and the live feed side by side, so nobody switches between tools.
- Low latency. Video reaches operator screens over LiveKit in near real time.
- Built for scale. A pipeline designed for many camera feeds at once.
02
Dead reckoning under GPS jamming
Navigation that keeps estimating position when GPS is jammed, plus the tooling to measure how well it holds up.
- Keeps going. Position keeps updating when GPS drops out.
- Measured. Every change is scored against GPS ground truth on recorded runs.
- Works on foot. A pedestrian mode tuned for a phone carried in a pocket.
03
Offline arrival logger
A self-contained check-in station for conferences. It records who arrived, when, and at which entrance, with no internet connection at all.
- Nothing to hack remotely. The wireless chip is physically removed, so there is no network to attack.
- Fast check-in. Tap an NFC badge or swipe a magnetic card at the door.
- Clear records. Who arrived, when, and at which entrance.
04
Real-time emergency-response platform
Mobile app, web console and a live sensor map for a security and emergency-response service.
- Shared picture. People in the field and the control room see the same live map.
- Real-time. Updates flow between mobile and web as they happen.
- Low upkeep. A managed cloud backend, with no servers to run.
05
WhatsApp AI assistant
An LLM assistant that answers people on WhatsApp from the client's own content, running serverless on AWS, with a cost model to price it.
- Grounded answers. Replies come from the client's own content, not generic web text.
- Pay per use. Serverless, so cost follows actual usage.
- Priced with data. A cost simulator set the customer's pricing before launch.
06
SHVIL bike navigation
A bike navigation web app for Tel Aviv and Ramat Gan, routing on live OpenStreetMap data.
- Made for bikes. Routes come from a bike routing engine, not a car one.
- Current maps. Built on live OpenStreetMap data for local streets and paths.
- Nothing to install. Runs in any browser.
Skills
From soldering iron to cloud
Working across every layer means nothing gets lost between the hardware and the software.
Embedded & hardware
STM32ESP32ArduinoRaspberry PiI²C / SPI / UARTSoldering3D printingFPV drones
Sensing, vision & robotics
Sensor fusionDead reckoningOpenCVYOLO / NCNNROS
Radio
LoRaUWBSDR / USRPNFC
Video & streaming
FFmpegRTMPMediaMTXLiveKit
Web & mobile
FlutterSvelteKitReactFastAPIFirebaseGoogle MapsLeafletWhatsApp & Telegram bots
AI & LLM
Claude API & SDKAWS BedrockAgent harnessesMCPTool callingRAGLangChainLangGraphEvals
GPU & inference
LLM servingKV-cache systemsMemory tieringCUDAKernel profiling
Cloud & infrastructure
AzureGCPAWSCloudflareKubernetesDockerTailscaleSQL & NoSQL
Security
Vulnerability researchReverse engineeringWindows / Android / embeddedOSINT & reconDNS / RDAP / CTSecurity reports
Data & ML
pandasJupyterFeature engineeringXGBoostClassic ML
Languages
PythonC / C++GoTypeScriptDartC#JavaLuaSQLCUDA
Practice
GitTDDAgent-driven developmentWritten documentation
Contact
Need a hand?
I've got two, plus a soldering iron. Tell me what you're working on and where it has to run, in Hebrew or English.
Emailtoma.adler@gmail.com
LinkedInin/tom-adler-7551b9217
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