Adi Faintuch

Software Engineer

San Francisco, California, United States4 yrs 11 mos experience

Most Likely To Switch

Key Highlights

Expert in cybersecurity and fraud prevention.
Strong background in machine learning and neural networks.
Proficient in multiple programming languages and tools.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Cybersecurity and Machine Learning.

Contact

Skills

Core Skills

JavaGo (programming Language)Python

Other Skills

TerraformSQLPyTorchGraphvizRedisSnowflakeSQLiteFlaskdockerApache AirflowApache KafkasiftJenkinsAmazon Web Services (AWS)C++

About

Software Engineer @ Netflix Previously: Software Engineer @ Shipt, Software Engineer @ Twilio Software engineer specializing in cybersecurity and cyber fraud, building out systems and tools for DDoS and fraud: detection, prevention, and remediation. Background in machine learning, with a B.S. in Computer Science from UC Irvine and an undergraduate honors thesis "Graph Neural Networks and Active Learning". Languages: Go / Java / Python / Scala / C++ / C / JavaScript / HTML Databases: Postgres, Redis, MySQL, dynamoDB Machine Learning Tools: PyTorch / TensorFlow / ONNX / NumPy / Matplotlib LinkedIn banner created with DALL·E 2: https://labs.openai.com/s/IrXt0S0o7jn6gfB8z4OqeuTO Check out my GitHub! : https://github.com/adifaintuch

Experience

4 yrs 11 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 5 mos

Current Experience

Netflix

Software Engineer

Jan 2025 – Present · 1 yr 5 mos · San Francisco Bay Area

Trust and Safety, DDoS

JavaGo (Programming Language)

Shipt

Software Engineer - Fraud

Jul 2023 – Dec 2024 · 1 yr 5 mos · San Francisco, California, United States

Software engineer on the cyber fraud team specializing in building out systems for fraud detection, prevention, and remediation.

Go (Programming Language)Terraform

Twilio

Software Engineer - Fraud

Sep 2021 – Feb 2023 · 1 yr 5 mos

Part of the risk platform engineering team. Worked closely with Twilio’s fraud ops team and Twilio’s customers to build tools to help prevent / mitigate fraud and automated the process of fraud detection. Wrote API endpoints, Airflow DAGs, Kafka producers, and ran data analysis using SQL.

PythonJava

Uc irvine

Undergraduate Researcher - Machine Learning

Oct 2020 – Jun 2021 · 8 mos

Researched graph neural networks and active learning under Professor Alexander Ihler and Noble Kennamer, Ph.D. candidate. Wrote an active learning library for graphical data that picks a pool node by degree, entropy, or randomly. Used PyTorch Geometric to model the neural networks. Wrote my honors thesis - "Graph Neural Networks and Active Learning."

Python

Deepcube

Software Engineering Intern

Jul 2020 – May 2021 · 10 mos

Developed an analysis tool that takes in an ONNX file and uses PyDot and Graphviz to display the neural network’s layers, computation functions, input and output shapes, and density of the weights after pruning. Computed the accuracy of DeepCube’s ONNX models using onnxruntime and the ImageNet dataset. Demoed / presented the tool to the entire development and research teams. Mentored by key software engineers at the company.

Python