Tom Atkinson is a Full Stack Developer and digital marketing specialist with over a decade of hands-on experience optimising websites, running high-performance PPC campaigns and implementing analytics for more than 140 clients. As director of Tomachi Corporation he blends technical front-end skills (HTML, CSS, JavaScript) and WordPress development with deep SEO, Google Analytics and AdWords expertise—he may be among the first in his country to pass the Google Analytics exam. He has led SEO programs for major brands and built mobile-responsive fixes to meet evolving search guidelines, while also architecting repeatable audit processes used by agencies. A trained designer with formal diplomas and recent full-stack upskilling, Tom pairs creative production (video/audio/music) with pragmatic web engineering. Unexpectedly, his career also includes international touring as a session drummer, which informs a collaborative, deadline-driven approach to multidisciplinary projects.
11 years of coding experience
7 years of employment as a software developer
Bachelor in Design, Visual Communications, Bachelor in Design, Visual Communications at Unitec New Zealand
Diploma of Education, Design and Visual Communications, General, A, Diploma of Education, Design and Visual Communications, General, A at Unitec
Selwyn College
Diploma in Digital Technology Development and Design, AI-Powered Advanced Full Stack Developer 8 month full-time course, TBC, Diploma in Digital Technology Development and Design, AI-Powered Advanced Full Stack Developer 8 month full-time course, TBC at MISSION READY
AminoSeeNoEvil (or just AminoSee) is a DNA visualisation that assigns a unique colour hue to each amino acid and start/stop codon in the sequence, and then projects it into 2D and 3D space using an infinite mathematics space-filling function called the "Hilbert curve". This is done to preserve sequence proximity such that 90% of the DNA that is close to its neighbour - such as genes - are also closeby in the image at different resolutions. Genomics researchers can convert any file containing ASCII blocks of DNA (tested with popular formats Fasta, GBK, and also just .txt) into an image. A unique visualisation of DNA / RNA residing in text files, AminoSee is a way to render arbitrarily large files - due to support for streamed processing - into a static size PNG image. Special thanks and shot-outs to David Hilbert who invented it in 1891! Computation is done locally, and the files do not leave your machine. A back-end terminal daemon cli command that can be scripted is combined with a front-end GUI in Electron, AminoSee features asynchronous streaming processing enabling arbitrary size files to be processed. It has been tested with files in excess of 4 GB and does not need the whole file in memory at any time. Due to issues with the 'aminosee *' command, a batch script is provided for bulk rendering in the dna/ folder. Alertively use the GUI to Drag and drop files to render a unique colour view of RNA or DNA stored in text files, output to PNG graphics file, then launches an WebGL browser that projects the image onto a 3D Hilbert curve for immersive viewing, using THREEjs. Command line options allow one to filter by peptide.
Contributions:1123 commits, 31 PRs, 1027 pushes in 3 years 2 months
Contributions:23 commits, 1 PR, 21 pushes in 1 year 5 months
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Tom Atkinson - Full Stack Developer at Tomachi Corporation