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IDAN KESTENBOM

AI Research · Robotics · Autonomous Systems | Student Researcher · Science Fair Award Winner

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01

About Me

Building intelligent machines that help people.

I'm an aspiring AI Research Scientist focused on robotics, reinforcement learning, and autonomous systems. I've built end-to-end ML and robotic platforms including an autonomous surgical system (VASARA) and large-scale news analysis models.

Experienced in iOS development (10+ apps, 2 published on the App Store) and leading a nonprofit tackling food waste. Conducted research on Alzheimer's disease mechanisms (NMDA receptor phosphorylation).

0+ Apps Built
0 Published Apps
0 Science Fairs
idan.py
class Idan:
    location  = "Sunnyvale, CA"
    school    = "Santa Clara HS '28"
    focus     = [
        "Reinforcement Learning",
        "Robotics & Control",
        "Autonomous Systems",
        "Computer Vision",
    ]
    research_experience = True
    apps_shipped = 10

    def status(self):
        return "Building cool stuff"
02

Experience

Founding Engineer & Product Lead

The FoodXChange
Jul 2023 — Present
  • Collaborating with a small team of engineers to build a donation-based food marketplace to reduce food waste
  • Driving end-to-end product strategy and development for a marketplace-style platform currently in active development

Team Lead & Software Lead

FTC TeamTaro
Jun 2024 — Present
  • Built ML-powered autonomous navigation algorithms for competitive robotics
  • Led 10-person team through full robot design, build, and programming cycle
  • Raised $1,500+ and engaged 225 community members through outreach events

Research — Autonomous Surgical Robotics

Synopsys Science Fair
Jul 2025 — Feb 2026
  • Built autonomous vascular suturing system (VASARA) using RL + VLA, achieving <0.5mm simulated stitch spacing accuracy
  • Engineered CoreXY robot with sub-mm precision across thousands of motion cycles
  • Trained using reinforcement learning in NVIDIA Isaac Sim with domain randomization

Research — Humanitarian Crisis Detection

Synopsys Science Fair
Jun 2024 — Jan 2025
  • Trained deep learning model on 20+ years of news data to detect humanitarian crisis patterns

Research — AI Fitness App

Synopsys Science Fair
Sep 2023 — Jan 2024
  • Built AI app generating personalized fitness warm-ups with Apple ML real-time form feedback

Awards

Dr. Michael V. McCusker Award

SCVSEF · Mar 2026 — VASARA

Honorable Mention, Biological Science & Engineering

SCVSEF · Mar 2026 — VASARA

Exceptional Project for the Betterment of Humanity

SVP Market Research · Apr 2025 — ForeHumanity

Honorable Mention, Physical Science & Engineering

Synopsys Championship · Apr 2025 — ForeHumanity

CSEF — 3rd Place, Mathematical Sciences

Apr 2024 — PhysioRise · Nominated for Thermo Fisher JIC

Synopsys Championship — 1st Place, Physical Science & Engineering

Mar 2024 — PhysioRise · Castro Family Award · Qualified for CSEF

Publications

Upregulated phosphorylation in Alzheimer's disease links excitotoxicity of NMDA receptors and impaired long-term potentiation

Co-authored research abstract · Jan 2025 – Apr 2025 · Analyzed differential gene expression data linking Alzheimer's disease to inhibited long-term potentiation

03

Featured Projects

Robotics RL HM Biological Sci McCusker Award

VASARA

Autonomous vascular suturing system using RL + Vision-Language-Action models. CoreXY robot with sub-mm precision across thousands of motion cycles. <0.5mm simulated stitch spacing accuracy.

PythonIsaac SimRLCoreXYArduino
AI/ML NLP Betterment of Humanity

ForeHumanity

Deep learning model trained on 20+ years of news data to detect humanitarian crisis patterns. LLM-assisted classification pipeline (LoRA-based approach).

PythonPyTorchLoRAStreamlit
Healthcare Computer Vision 1st Place CSEF 3rd

PhysioRise

AI fitness app generating personalized warm-ups with Apple ML real-time pose estimation and form feedback.

SwiftCoreMLVisionSwiftUI
Nonprofit Mobile

The FoodXChange

Donation-based food marketplace to reduce food waste. Collaborating with a small engineering team, driving end-to-end product strategy.

React NativeTypeScriptSupabaseExpo
Robotics Leadership

FTC TeamTaro

Led 10-person robotics team. Built ML-powered autonomous navigation algorithms. Raised $1,500+ and engaged 225 community members.

JavaMLAutonomous NavCAD
FinTech LLMs

Algorithmic Trading Engine

Experimental multi-strategy trading system with LLM-assisted signal exploration and backtesting tools.

PythonFastAPILLMsPostgreSQL
Wellness AI Chatbot

HappyBara

Mental wellness app with AI capybara therapist, mood tracking, guided breathing exercises, and journaling timeline.

SwiftUIChatGPT APICloudKit
Bioinformatics Research

GIDAS Research

Bioinformatics research analyzing tuberculosis and Alzheimer's datasets using microarray data and STRING network analysis.

PythonGEO DatabaseSTRING
Dashboard Productivity

Bloom

Financial analytics dashboard with real-time stock visualization, WebGL effects, and interactive charting.

ReactFastAPIWebGLTailwind
04

Tech Stack

AI & ML

Reinforcement Learning
LLMs / LoRA / NLP
Computer Vision (OpenCV)
Pose Estimation
PyTorch / CoreML
NVIDIA Isaac Sim

Robotics

Autonomous Systems
Control Systems / Kinematics
Sensor Fusion
Sim-to-Real Transfer
Arduino / Jetson Nano
CAD (Fusion 360)

Languages

Python
Swift / SwiftUI
Java / C++
TypeScript
SQL
Rust

Tools & Platforms

React / React Native
FastAPI / REST APIs
Supabase / PostgreSQL
Git / GitHub
Xcode / Expo
Streamlit
05

Let's Connect