Open to opportunities

Uri el

@uriel

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Machine Learning Engineer specializing in production AI, RAG/LLM systems, and real-time anomaly detection.

United States

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What I'm looking for

I seek roles building production AI systems and scalable RAG/LLM workflows with strong MLOps, low-latency inference, and collaborative engineering culture.

I am a Machine Learning Engineer with extensive experience building production-grade AI systems, real-time anomaly detection platforms, and advanced RAG/LLM workflows. I design scalable multi-agent solutions and high-performance ML services that deliver low-latency, fault-tolerant intelligence at enterprise and edge scale.

At AppDynamics I engineered agentic AI for real-time root-cause analysis, built RAG pipelines grounded in telemetry using PostgreSQL + pgvector, and extended LangChain/LangGraph with MCP connectors to standardize LLM-tool interactions. I developed FastAPI microservices, integrated OpenTelemetry, Redis, and Kafka/Flink, and created interactive React dashboards for sub-second RCA visualization.

Previously I optimized embedded inference and runtime scheduling for edge NPU/CPU/GPU in C++ and Python at Black Sesame Technologies, implemented quantization and graph optimizations, and extended toolchains for ONNX/TensorFlow/PyTorch. I also developed ML frameworks and operator automation for Cornami's AI chip, accelerating model training and inference workflows.

I combine deep learning, computer vision, NLP, and MLOps expertise with strong data-engineering and cloud-native deployment skills (AWS, Kubernetes, Terraform). I focus on measurable performance improvements, robust telemetry-driven monitoring, and delivering production-ready ML systems that integrate seamlessly with engineering workflows.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

AppDynamics

Aug 2022 - Present (3 years 6 months)

Engineered agentic AI systems and RAG/LLM workflows for real-time root-cause analysis, reducing diagnostic latency and delivering fault-tolerant enterprise-scale observability intelligence.

Python fastAPI LangGraph PostgreSQL Pgvector OpenTelemetry Redis Kafka React

AI Platform Engineer

Black Sesame Technologies Inc

Apr 2021 - Aug 2022 (1 year 4 months)

Implemented quantization and graph-optimization for edge inference, improved runtime scheduling for NPU–CPU workloads under QNX/AUTOSAR, and built benchmarking pipelines to meet real-time OEM performance targets.

C++Python Onnx TensorFlow INT8 Quantization CUDA QNX AUTOSAR Embedded Systems CI CD

Software Engineer

Cornami, Inc.

May 2019 - Apr 2021 (1 year 11 months)

Designed and developed ML framework and hardware-specific operators to accelerate training and inference on Cornami's AI chip, automating operator interface generation and validation test suites.

Python Onnx ML Operator Design Test Automation JIT Benchmarking CI CD

Software Engineer Intern

KLA

May 2018 - Aug 2018 (3 months)

Automated wafer defect matching and visualization tools, improving defect matching efficiency 15x and delivering Python workshops to team members.

Python Data Visualization Data Analysis Automation Workshops

Research Assistant

University of Waterloo

May 2016 - Dec 2016 (7 months)

Built multi-robot communication infrastructure and real-time voice-stream processing, implemented pathfinding and PID control for robotics platforms and developed cloud and Android interfaces.

C++Java Real Time Systems Robotics Control Platforms PIDS Android Cloud Applications Stream Processing

Software Engineer Intern

IBM

Sep 2015 - Dec 2015 (3 months)

Integrated Orion compare widget into Rational Team Concert code review web app, resolved merge discrepancies, and fixed 100+ bugs within two weeks to improve review workflows.

Java JavaScript Web Applications Code Review Debugging

Software Engineer Intern

Zynga

Jan 2015 - Apr 2015 (3 months)

Updated Android game UI and implemented matchmaking algorithm contributing to a 4.5 Google Play rating for Word Streak: Words With Friends.

Java Android Development UI UX Algorithms Matchmaking Team Collaboration

Software Engineer Intern

InfoMax Technologies Corporation

May 2014 - Aug 2014 (3 months)

Developed web and Android applications to register handwritten forms with digital pen solutions for enterprise workflows.

Android Web Development Mobile Integration Java Android SDK

Database Administrator Intern

TELUS

Sep 2013 - Dec 2013 (3 months)

Supported database administration tasks across TELUS systems during internship term.

Database Administration SQL Data Management Troubleshooting Support

Software Engineer Intern

TELUS

Jan 2013 - Apr 2013 (3 months)

Contributed to software development projects, participating in coding and integration tasks during internship.

Software Development Java Collaboration Testing Debugging

Education

Degrees, certifications, and relevant coursework

University of Southern California

Master of Science, Computer Science (Data Science)

2017 - 2019

Completed a Master’s degree in Computer Science with a Data Science specialization, focusing on machine learning, data engineering, and statistical analysis.