Kunal Jaiswal is a director and founder with 10+ years building production AI systems, specializing in real-time computer vision pipelines and LLM inference. He combines startup agility at Parabolic Dapps with institutional engineering experience from BlackRock and ECAD Labs, delivering reliable, regulation-aware software for finance and developer-focused products. Trained in biomathematics and bioinformatics, he brings a quantitative, algorithmic perspective to system design and integration. Based in Cochrane, Alberta, he is comfortable moving between hands-on development and strategic leadership, having designed in-house reporting and CRM tools as well as end-to-end product lifecycles. Notably, his background spans both low-latency, production-grade ML deployment and the UX/API work needed to operationalize those systems.
10 years of coding experience
15 years of employment as a software developer
High School Computer Science, High School Computer Science at Delhi Public School - India
Bachelor of Technology (BTech) Biomathematics Bioinformatics and Computational Biology, Bachelor of Technology (BTech) Biomathematics Bioinformatics and Computational Biology at Jaypee University of Information Technology
CalPred is a "tool for EF-hand calcium binding protein prediction and calcium binding region identification" using machine learning techniques. It is a free web based software package and is accessible via world wide web from various platforms. It integrates a range of currently available open source and / or free software packages such as SNNS, EMBOSS and SVMlight, Cygwin and Microweb server for the purpose of anlysing the protein nature and identification of the calcium binding regions in the given protein. CalPred Server is available for free download as a portable server to promote open source spirit and to reduce the load on our servers.
Contributions:8 PRs, 8 pushes, 2 branches in 1 day
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