Mark Essel's

Resume

special thanks and format credit Hakim El Hattab/@hakimel

Languages:
- python, php, javascript, nodejs, c++
- swift/obj-c, ruby, Markup(html/css/md), php
- sql (mysql/postgres), mongo queries, firebase queries
Frameworks/Libs: Nodejs, jQuery, Cairo, GraphicsMagick, FFmpeg, GPUImage, opencl/gl, AVFoundation, CoreGraphics, OpenGLES
Deployment: Amazon EC2/Beanstalk/Lambda, Heroku, Google App Engine
Comfortably familiar:
- tools: d3.js, Rails, Sinatra, Django
- Databases/Queries: I can adapt to whatever a team is using
Preferred Environments:

Behavior tracking and prediction for optimal activities
Architected, implemented and deployed ML processing of user/item relationships both periodic and real time
Implemented and deployed (open source) 3D video simulation backend from images
Architected, developed and deployed a distributed collection of real time services in Node.js
Designed, implemented and deployed a custom, scalable, distributed, replicated geo cache using Redis and Node.js
Designed, implemented and deployed video rendering engines
Multiple roles in full stack web development using Javascript (node.js), Ruby, Python, and C++
Signal Analysis/Processing - Linear (Least Squares) & Non-Linear (parameterized)
Detection Algorithms, Infrared Image processing Temporal/Spectral Matched Filter
Classic Machine Learning Algorithms: Quadratic Classifier, Convex Hull
Protein Structure Search Analysis
Modeling of Atmospheric Gases, and IR sensor images

ML/Backend Engineer at Dorsia

Reworked onboarding logic and flow to support temporary guest passes
Created weekly sanitized version of primary database
Generated reservation tracking system and UI to support frictionless connections

Tech Co-founder at Welcome

Founder at Tek Horizons

A consultancy founded on deliverying professional backend developer services
Audio signal processing and deploying ML detection techniques
Lookahead traversal architecture for optimizing day planning with background build system + notifications
API, Socket Servers, Realtime Data
Custom applications: native and mobile web app backends, social data driven itinerary planning, optimal street routing, travel time matrix, real time geo spatial engines, video processing, custom apns/fcm push services
Documented, tested, and benchmarked deliverables

Technical Co-founder at Citizen (sp0n)

Architect: all backend services
API (express), JWT auth, fully documented and covered by tests
Custom data store: redis cache backed, replicated local application. 3D lat,lon,time queries
Implemented and deployed live video streaming platform (nodejs & service workers): variations using Wowza, Red5, and nginx-rtmp
Custom cross platform (iOS/Android) geo push architecture
Live stream push workers
Video post processing workers
Deployment (Heroku + AWS) and management (loggly, custom + heroku alerts, node ping)
Testing, benchmarking, load testing

Principal Developer: for Cameo product (Fast Society)

Designed and implemented structured theme scripts, gl shader effects, and font styling for Cameo video rendering (swift/opengl)
Closely worked with AVComposition, slow motion video segments, audio mixing, and gl transform handling for arbitrary source video
Designed and developed background video uploader for Cameo mobile app (swift/objc) with data validation to Google Cloud Storage
Optimized locally exported video, tuning SDAVAssetExportSession and worked with server team for high quality streams
Troubleshooting issues across the Cameo mobile app (swift/fabric)
Crafted tools essential to our backend video processing architecture (c++11/libffmpeg)
Architected and implemented our video rendering engine c++11/opencl/opengl, visual effects in opencl/gl, and structured script engine (c++11)
Identify and resolve issues in our cloud infrastructure (node/c++) and dedicated hardware. Regular use of Kibana/Elastic Search/Syslog for debugging distributed processing

Chief of Research and Development: Algorithm and software development to support video processing toolchain.

Build out backend video processing architecture (tools, dataflow, encoding)
Optimize video processing pipeline and instance utilization
Stability testing multiple components
Ported JavaScript animation library to C++ opengl rendering engine
Automated new visual animations/effects
Aid in configuring and deploying our cloud infrastructure (basics, build error/dependency, migrated from fabric to puppet)
Everything else our startup required

Senior Staff Scientist core responsibilities: Algorithm and software development, implementation and testing.

Design of real time hyperspectral anomaly detection algorithms as well as temperature feature extraction for new LWIR sensor in C++ using Visual .NET and delivered to customer on Linux platform
Implemented real time PDB search tool to identify structures similar to specified structures (Kinase)
Implemented and demonstrated Spectral Matched Filter (SMF) algorithm for target detection in a complex target/background scene
Implemented Atmospheric Correction algorithms in C++ and processed AVIRIS data

Developed algorithms for the IR Sensor Study - Algorithm Development Program that demonstrated advanced detection and identification techniques against measured CBD and CBE data sets
Participated in development of Cirrus cloud detection and characterization for HYMSMO program
Developed a mid-course discrimination simulation for SBIRS-Low and performance simulation in order to evaluate the effectiveness of acquisition, tracking, and discrimination in clutter environments

Developed and simulated mid course discrimination algorithms for the Navy Theater Wide COEA (Navy Theater Ballistic Missile Defense)
Developed Monte Carlo simulations of IR sensor(s) and target scenarios over variations in launch, sensor and solar geometry
Simulated SBIRS-High, SBIRS-Low and a number of novel staring/scanning sensor designs and demonstrated performance against Technical Intelligence targets, developed code for integrating targets into backgrounds, incorporated a matched filter into high fidelity simulation and control logic for executables that provide parallel processing

"Midcourse Clutter Mitigation Using Multi-Spectral, Subspace Projection Techniques", Julian Brody, Mark Essel, Brad Flanders, Henry Phan, Tony Sommese, MSS, January, 2003
"Atmospheric Correction Using Imbedded Models (ACUIM)", Tony Sommese and Mark Essel, SPIE, March, 2000
"Background Clutter Rejection Using Generalized Regression Neural Networks" , C. Ralph Waters, Tony Sommese, Mark Essel and Capt. Brian Hibbeln, IEEE, March, 2000
"Signal Subspace Processing Of 4D Remote Sensing Data", Ralph Waters, Tony Sommese, Mark Essel, Stephen Mack and Capt. Brian Hibbeln, IEEE, March, 1999
"Super Resolution and Image Enhancement Using Novelty Concepts", C.Ralph Waters, Tony Sommese, Dave Weiss, Mark Essel & Capt. Brian Hibbeln IEEE, March 1998