I am a multidisciplinary AI and software engineer with a passion for turning complex data into practical, real-time solutions. Over the past eighteen years I have researched, developed, and deployed software engineering and data analytics systems across aerospace, geoscience, and media industries, delivering results in perception, sensor fusion, and 3D visualization. I thrive in collaborative environments, lead projects from concept to production, and enjoy building scalable pipelines using C++, Python, CUDA, ML frameworks, and real-time rendering engines like Unreal and Unity.…

Francisco Miranda Fernández

I am a multidisciplinary AI and software engineer with a passion for turning complex data into practical, real-time solutions. Over the past eighteen years I have researched, developed, and deployed software engineering and data analytics systems across aerospace, geoscience, and media industries, delivering results in perception, sensor fusion, and 3D visualization. I thrive in collaborative environments, lead projects from concept to production, and enjoy building scalable pipelines using C++, Python, CUDA, ML frameworks, and real-time rendering engines like Unreal and Unity.…

Available to hire

I am a multidisciplinary AI and software engineer with a passion for turning complex data into practical, real-time solutions. Over the past eighteen years I have researched, developed, and deployed software engineering and data analytics systems across aerospace, geoscience, and media industries, delivering results in perception, sensor fusion, and 3D visualization.
I thrive in collaborative environments, lead projects from concept to production, and enjoy building scalable pipelines using C++, Python, CUDA, ML frameworks, and real-time rendering engines like Unreal and Unity.

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Skills

Experience Level

Python
Expert
C++
Expert
PyTorch
Expert
TensorFlow
Expert
Data Visualization
Expert
Unity
Expert
Hadoop
Expert
Keras
Expert
Spark
Expert
C#
Intermediate
Java
Intermediate
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Language

English
Fluent

Work Experience

Senior Perception AI Researcher at Nissan Advance Technology Center
February 1, 2024 - Present
Developed perception pipeline sensor fusion with multi-camera array, LiDAR, and radar for pedestrian detection and decision-making; 3D pose estimation for pedestrians using synthetic and real data; integrated ROS with Unreal for virtual-twin synthetic data; designed distributed perception architectures and production MLOps pipelines for autonomous driving.
Senior Software Engineer at Blue Origin
October 1, 2021 - February 1, 2024
Contributed to development and optimization of spacecraft GNC systems, implementing estimation and control algorithms to improve navigation accuracy and mission reliability. Developed and validated orbital state estimation using mixed sensors (IMU, GPS, star tracker), designed guidance and control strategies for orbital insertion and proximity operations, and performed Monte Carlo simulations and covariance analyses to assess robustness. Collaborated with propulsion and flight software teams to integrate algorithms into flight hardware and supported flight tests.
Senior Perception VFX Pipeline Developer at Eyeline Studios at Netflix
October 1, 2020 - October 1, 2021
Integrated human pose estimation into Unreal-based virtual stage pipelines; 3D volume capture scanning with multiple L515 LiDAR cameras; 3D point cloud reconstruction and stitching; built synthetic data pipelines for object detection and human attribute recognition (Pelee, Darknet) and integrated into Nuke for VFX; contributed to Deep Fake lips-sync workflows and virtual production tooling.
Founder at DSI Metric Solutions, Inc
July 1, 2015 - Present
Founded a startup focusing on AI-powered predictive modeling linked to IoT; built Unreal-based multi-camera poses and tracking using Radiance Fields; developed Vulkan/CUDA SDK for 18k-by-18k big-sky camera systems; designed backend AI pipelines for training and deployment and delivered case applications for ISS and other projects.
Senior Computer Vision Contractor at Disney Research
October 1, 2018 - April 1, 2019
Developed Perceptual Element Ensemble Pipeline (PEEP), a modular perception pipeline platform including detection, pose estimation, tracking, and scene fusion; implemented automatic speech recognition, audio-visual fusion, and integration with Nuke for VFX workflows.
Senior Technical Lead at Intel Labs Research
September 1, 2016 - September 1, 2018
Led development of an integrated Array Vision platform (MPIArrayVision Toolkit) on MPI clusters to prototype new imaging algorithms; implemented out-of-core data analysis and processing pipelines using OpenCV, C++, Python, and MPI; built Windows multicamera streaming applications and Qt interfaces.
Seismic Planning Geophysicist Advisor at ENI S.p.A
February 1, 2015 - August 1, 2016
Designed onshore/offshore seismic surveys, performed illumination modeling, and contributed to Full Wave Inversion and pattern recognition approaches; created visualization tools for seismic imaging and interpretation for multiple basins.
Project Leader EDGE Depth Imaging PTS at Schlumberger
July 1, 2014 - February 1, 2015
Led a team of 14 depth imagers and petrophysicists to produce a seamless anisotropy Earth model over ~46,000 km2 using multiple wells; integrated rock physics and interpretation workflows.
Senior Geophysicist Seismic Guided Drilling PTS at Schlumberger
December 1, 2013 - July 1, 2014
Integrated seismic uncertainty analysis into drilling workflows; built Earth Model Building using seismic, well measurements, and inversion to guide drilling with real-time updates.
Senior Geophysicist IEM Modeler at Schlumberger – Saudi Aramco JTC Red Sea Integration Team
February 1, 2012 - December 1, 2013
Responsible for Earth Model Building for Red Sea exploration, integrating non-seismic measures (FTG-MT-CSEM) with RTM-LSI and Gaussian Beam Migration in Petrel.
Senior Geophysicist at Schlumberger – WesternGeco
March 1, 2010 - February 1, 2012
Participated in multiple GPM migration projects; contributed to training staff in GPM-LSI workflows; delivered imaging and interpretation supports for major clients.
Project Lead Velocity Modeling Group at Nexus Geosciences Inc.
January 1, 2008 - March 1, 2010
Managed full seismic imaging volumes from preprocessing to velocity modeling and salt modeling for various basins; delivered end-to-end imaging solutions to clients.
Research Scientist at Nexus Geosciences Inc.
January 1, 2007 - January 1, 2008
Co-founded startup; developed DYNAMo visualization software and diplet processing with 4D regularization; advanced seismic visualization capabilities.
Post-Doctoral Fellow at Bureau of Economic Geology, University of Texas
April 1, 2005 - December 1, 2006
Developed PDE-based imaging techniques; collaborated on Regularly Sampled File (RSF) software and fluid dynamics visualization; contributed to imaging research.
Research Imaging Consultant at Petroleum Geo-Services (PGS)
August 1, 2004 - August 1, 2004
Implemented PDE methods for 3D surface-related multiple elimination and wave migration; developed source extrapolation techniques and related PDE-based demigration work.
Research Assistant at University of Houston (MOSRP)
November 1, 2001 - August 1, 2004
Worked on generalizing Stolt’s data reconstruction, missing data implications near the source for free-surface and internal multiple attenuation; contributed to inverse-series extrapolation work.

Education

Doctor of Philosophy in Control Systems at Escuela Superior de Informatica UCM
January 11, 2030 - January 1, 2015
Doctor of Philosophy in Physics at University of Houston
January 11, 2030 - January 1, 2004
Master of Science in Power Engineering at Ingeniero Industrial (Tecnicas Energeticas) Escuela Tecnica Superior de Ingenieros Industriales de Madrid (UPM)
January 11, 2030 - January 1, 1999
Master of Science in Material Physics at Universidad Complutense de Madrid
January 11, 2030 - January 1, 1999
Master of Science in Fundamental Physics at Universidad Complutense de Madrid
January 11, 2030 - January 1, 1999

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Media & Entertainment, Energy & Utilities, Professional Services, Other
    paper Projects

    • Flux Generative AI text to video Comfy integration with internal VFX workflows at (https://www.twine.net/signin).

    • Unreal Plug-in Multi Camera poses and tracking integrating Radiance Fields for media productions using Gaussian Splatting using at (https://www.twine.net/signin).

    • Arch Design and Image Vulkan/cuda SDK for 18k-by-18k BigSky camera.
    (https://www.twine.net/signin). Case application ISS (International Space Station)

    • Developed Perception pipeline sensor fusion stack with multi-cameras array + Lidar + radar for pedestrian detection and decision-making stack on their intention to cross autonomous car (https://www.twine.net/signin). 3D Pose pedestrian estimation using a model created using synthetic data and real data. Implemented transformer-based architectures (ViT, DETR) for object detection and pedestrian segmentation. Designed and trained segmentation models for multi-sensor perception systems.
    Optimized transformer-based detection pipelines for real-time inference. Integration ROS + Unreal for virtual twin synthetic data generation for training customize Nissan AI models (https://www.twine.net/signin).

    • Backend AI pipeline for professional digital retouching app FOY (https://www.twine.net/signin). Rendering Retouch with Metal integrated Arkit.

    • Perception pipeline multi sensor platform integration (SLAM, Object Identification, 3D scanning) Rover and Drone system (https://www.twine.net/signin).

    • Backend cloud Services to perform Software updates and Perception AI stack and Perception stack drone system.

    • AI Backend data training pipeline at FLIR (https://www.twine.net/signin) . Develops algorithms to identify objects (people, vehicles) in heat images. Designs and tunes, thermal sensors, camera modules, and lens systems for drones or devices. Trains models for specific Night Vision applications, such as anomaly detection or hazard pedestrian identification.

    • Pipeline designed detection and guidance robotic eye cataract sur-gery arm contrastive learning methods (DINO, metric learning) using high-resolution image processing and background in segmentation, detection, or structured image understanding for surgical guidance. Design large-scale training pipelines and distributed training for cataract surgery.

    • 3D Multicamera Human pose estimation pose merged into Unreal virtualization Redpill VR (https://www.twine.net/signin).