Senior Quantitative Software Engineer (PhD, 15+ yrs)

PhD in Mechatronics with **+ years of experience developing algorithms,

automation workflows, data pipelines, and analytical tools for complex environments. Strong background in radar data, sensor modeling, signal processing, real-time analytics, Python, and C/C++ exposure. I have also developed crypto trading analytics tools focused on market structure, order book interpretation, liquidity behavior, dashboards, and ML-assisted decision support. Product-oriented engineer focused on turning complex problems into robust, scalable, and practical solutions.

Continental (Automotive Radar / Sensor Modeling) — Product Owner

(Blockage) & Algorithm/Data Analytics Engineer

Own the Blockage roadmap for radar-based sensing, including requirement definition, prioritization, and delivery alignment. Act as a customer-facing technical expert, leading technical discussions and aligning expectations with international stakeholders. Develop Python-based pipelines to clean, normalize, and analyze radar/sensor datasets for reproducible analytics and decision-making. Contribute to blockage and micro-Doppler workflows, including ANN-based components, feature extraction, classification, and quality/compliance activities.

• Python, NumPy, pandas, scikit-learn, ETL,

C/C++, Git/GitHub

• Data science, machine learning, and

feature engineering

• Large-volume data processing and real-

time analytics

• Raw data extraction, preprocessing,

transformation, and validation large models

of data

• ADAS radar, sensor modeling, and signal

processing

• Plotly/Dash, AWS, Databricks, time-series

analysis, FFT/Wavelete

+52-55-393*-****

*******@*****.***

2022–Present Mexico

PhD, Mechatronics — CIDESI

MSc, Automatic Control —

CINVESTAV

BSc, Communications & Electronics

Engineering — ESIME IPN

Ottmar Rafael Uriza

Gosebruch

ALGORITHM & REAL-TIME DATA ENGINEER

CORE SKILLS

CONTACTO

EDUCATION

SUMMARY

EXPERIENCE

Elatin SA de CV (Startup) — Founder/CEO & Lead Engineer (Data + Control)

Lead a custom engineering company focused on control systems, automation, computer vision, and tailored technology solutions. Direct projects involving vehicle testing systems, industrial processes, and real- time analytics for large-scale, dynamic data environments. Develop ETL pipelines for raw data extraction, cleaning, preprocessing, transformation, and validation across high-volume datasets. Built a trading analytics initiative covering raw market data ingestion, algorithm development, feature engineering, and machine learning for analysis and decision support.

2019–Present Mexico

CIDESI (Government R&D Center) — Project Engineer / Graduate Program Coordinatorunder/CEO & Lead Engineer (Data + Control) Modeled and controlled dynamic systems and designed automation solutions for industrial R&D projects.

2014–2018 Queretaro, Mexico

10.23919/OCEANS.2015.7404434 • 10.25046/aj020423 • 10.17265/2159- 5275/2017.06.001

SELECTED PUBLICATIONS (DOI)

CryptoAnalyst Trading Toolkit — Trading analytics

tool for crypto market research, technical analysis, order book interpretation, liquidity behavior,

dashboards, and ML-assisted decision support.

GitHub: https://github.com/DrUriza/cryptoanalyst-

trading-toolkit

Demo: https://youtu.be/ZnUBuOym6Wo?

si=NMRUcV-JEWyGPIS0

PORTFOLIO / SELECTED

PROJECTS