Location: Toronto, Canada
I'm a senior Software/AI engineer with over a decade of experience working on a wide variety of stacks. I'm affiliated with many open source projects -- OpenCog , Agenda and the W3C Functional Knowledge Graph community group , to name a few. I co-founded Assister.Ai , a company focused on Conversational AI and general software consulting. My passion is working on disruptive technologies that dramatically increase the bandwidth of the Global Brain . In my eyes, Blockchain, AGI and brain-computer interface are its main enablers in our generation. Previously, I've mainly served in the capacity of technical lead and been responsible for replacing legacy systems/architectures with cutting (often bleeding) edge ones. I can apply Machine Learning at scale and elevate businesses via creating added value by adopting AI. I have a track record of being effective providing the R&D function in an agile setting, where novel ideas are transformed to tangible results and delivered in a timely fashion. I occasionally blog at Medium and DEV.to .
Applying ML to consumer-facing products.
Firsthand experience on adopting cutting edge software paradigms.
Releasing most of the foundations of my work as OSS. Contributions to others.
I moved to Canada as a recipient of Startup Visa , sponsored by NEXT CANADA . We were participants of NextAI , the AI accelerator program at NEXT, and received 30K CAD in investments.
We are building a Private, Open and General Assistant platform at Assister.Ai, check out the RFC and the progress at GitHub.
I joined Mahan as a Software Architect and helped with the migration of fleet assignment/planning legacy software.
I later started the Mahan AI team with Hamidreza Mahyar , we were responsible for the ROI and management of the team. The team expanded from the initial 2 people to 10 in the span of a year. One of the projects that we started ultimately automates fleet assignment at Mahan using Machine Learning.
I helped startups adopt the Agile methodology while they reach POC and MVP stages by providing hands-on technical support, effectively being a member of their team until they graduate.
I joined Miras Technologies (4 US patents in Big Data) in my first year at MAPS. Helped with a product pivot right after the founder left. One of the top achievements was creation of a real-time predictive maintenance system on top of Apache Spark for analysing turbines of a power station.
In my second year, I moved to Satratech (an E-Health startup) and helped with revamping the backend of Shafajoo , a platform for matching and reservation for doctors and patients. Developed a Neo4j graph model for E-Health and created the koa-neo4j framework in the process.
My job involved regular meetings with MAPS' board, updating them on the current state of the 5 startups working there, filling the vocabulary gap between technical and business people.
Teaching Foundations of AI to bachelor students.
Co-founded the "Cloud Computing Group" startup in ISTT university accelerator where we tried to offer IaaS and PaaS products to Iranian companies. This startup eventually failed since Iranian companies would not buy into cloud computing concepts at the time.
I joined OpenCog in the ITF project at their Hong Kong lab right after graduation. Participated in design and development of many sub-components of OpenCog.
I continued working with Ben Goertzel on OpenCog as a contractor of Ben's company when I moved back to my home country. This collaboration resulted in four publications.
The CogPrime Architecture for Embodied Artificial General
Intelligence
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Pattern Mining for General Intelligence: The FISHGRAM
Algorithm for Frequent and Interesting Subhypergraph Mining
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Syntax-Semantic Mapping for General Intelligence: Language
Comprehension as Hypergraph Homomorphism, Language
Generation as Constraint Satisfaction
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Last updated May 2021 — [email protected] — (+1) - 416-859-8984