KBKim Boher

Background · recognition · credentials

High-stakes systems have been the through-line.

My background combines institutional experience across government, finance, regulation, fraud detection, risk, compliance, and academia with 10+ years of hands-on software, ML, and product engineering.

Institutional domain expertise+ML & engineering ownership=Applied AI systems

Fields of practice

Five disciplines.
One system.

Experience that moves from regulated institutions to production code — without a handoff between domain expert and builder.

01

Government & financial institutions

Financial fraud detection

From Israel’s securities regulator — the SEC equivalent, where I built market-manipulation detection algorithms and anomaly detection across financial institutions — to investment control in mutual funds and real-estate portfolios inside major finance houses.

02

Where it all began

Security & intelligence

Roots in the Israel Defense Forces Intelligence Corps — data analysis and signal processing — and multi-layer security operations for a major research institution. Adversarial thinking was the first professional skill.

03

Institutional operating experience

Compliance & regulatory

Casework and financial-oversight frameworks at Israel’s Ministry of Justice; investment control, compliance, risk, fraud monitoring, and real-estate asset valuation inside major financial institutions.

04

10+ years building systems

Machine learning

Deep learning, computer vision (NeRFs, neural artifact detection), LLMs and agentic systems, voice pipelines, TinyML on microcontrollers — end-to-end, from dataset to production.

05

Founder / CEO / CTO

Full-stack engineering & technical leadership

Founder and technical leader of a software agency for a decade; fractional CTO for business clients; every venture in this file designed, built, and shipped by me or a team I led.

Career record

Inside the systems
where trust matters.

Public-sector oversight, securities regulation, mutual funds, and real-estate investment control inside major financial institutions.

  1. 01Hebrew University

    Security operations

  2. 02Ministry of Justice

    Financial oversight

  3. 03Israel Securities Authority

    Stock-market manipulation and financial-fraud detection algorithms

  4. 04Ayalon Finance

    Mutual-fund investment control, fraud detection, and compliance

  5. 05Harel Insurance & Finance

    Real-estate investment control, risk, fraud, compliance, and asset valuation

Accelerators & programs

Programs across the venture portfolio.

Nine accelerator and startup programs associated with DeFake, AR Digital Twin, Verity, Cryptographic Chain of Custody, and Cognitive Intelligence Labs.

2026 · DeFake

Harvard Foundry Deep Tech Incubator

Current cohort · verified

2026 · DeFake

Founders Inc — Canopy

Accepted · verified

2026 · DeFake

Google for Startups Cloud Program

Approved · verified

2025 · Cryptographic Chain of Custody

NEAR Foundation — Oz City Incubator

Completed · verified

2025 · Verity

NEAR Rewards Accelerator

Completed · Demo Day · verified

2023–2024 · AR Digital Twin · Cognitive Intelligence Labs

MAOF — Israeli Ministry of Innovation Accelerator

Completed · Demo Day · verified

2023 · AR Digital Twin

NVIDIA Inception

Accepted · verified

2023 · AR Digital Twin

Microsoft for Startups — Founders Hub

Accepted · verified

2023 · AR Digital Twin

AWS for Startups

Accepted · verified
Kim Boher at Founders Inc CanopyKim Boher presenting at NEAR Foundation Oz CityKim Boher with investors in San FranciscoKim Boher at Y Combinator in San Francisco

Education & credentials

Degrees, certificates
& patent.

Degree

M.B.A. — Business Administration, Finance

The Open University of Israel

Degree

B.A. — Philosophy & Economics

The Hebrew University of Jerusalem

2026 · Credential

U.S. patent pending

Multi-layer forensic architecture for AI-content detection, consensus methodology, and evidence preservation. Filed with the USPTO, 2026.

2025 · Credential

Applied ML Engineer — HarvardX

Professional certificate (TinyML 2–4): dataset building, model development and distillation, production deployment, MLOps.

2024 · Credential

Databricks — LLM101x & LLM102x

Large language models: application through production; foundation models from the ground up.

2021 · Credential

Full-Stack Engineer — Ministry of Labor

Professional Software Developer certificate — 98th percentile. Node.js, React, Angular, databases, REST APIs.

Languages & infrastructure

Everything above was built with these hands and this stack.

Production web platformsTypeScript · Next.js / React · Node.js · FastAPI (Python)
ML & AI systemsPython · PyTorch · computer vision / NeRFs · LLM agents · voice pipelines
Edge & embedded MLC++ · TensorFlow Lite Micro · INT8 quantization on microcontrollers
Data & infrastructurePostgreSQL · Supabase · MongoDB · AWS · GCP · REST / GraphQL
Trust & provenanceRust smart contracts · NEAR · Base L2 · C2PA · cryptographic anchoring