“I am pleased to recommend Kayvane as a Machine Learning Engineer based on our collaboration at Util. Working with Kayvane has been both a professional and enjoyable journey. His humility and approachability make him a great colleague and a wonderful friend. He also has incredible travel stories! Our collaboration involved several pairing sessions and working to build Util's product offering. In each instance, Kayvane's eagerness to learn and his collaborative spirit shone through, making the process smooth and efficient. One of Kayvane's standout qualities is his exceptional ability to present complex ideas to a broader audience. Leveraging his impressive storytelling skills, he can structure and articulate intricate concepts, making them accessible to everyone. This talent greatly contributes to effective communication within the team. Kayvane's prowess as a Machine Learning Engineer is commendable. His deep experience in building AI products using NLPs and LLMs and his expertise in machine learning pipelines position him as a valuable asset to any project. His efficiency in putting together a new product in a matter of days showcased both speed and quality in his work. In summary, Kayvane is a skilled professional and a collaborative and versatile team member. His technical expertise, communication skills, and rapid product development capabilities make him a must-have asset. I wholeheartedly recommend Kayvane for any role that demands excellence in machine learning and a positive, team-oriented approach.”
Activity
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Building Catena Clearing has been the best ride of my life and I couldn’t be more grateful for our team, our investors and advisors. Thanks to…
Building Catena Clearing has been the best ride of my life and I couldn’t be more grateful for our team, our investors and advisors. Thanks to…
Liked by Kayvane Shakerifar
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I spoke with Melissa Heikkilä at the Financial Times Global Banking Summit yesterday to share that we see that regulated industries aren’t lagging…
I spoke with Melissa Heikkilä at the Financial Times Global Banking Summit yesterday to share that we see that regulated industries aren’t lagging…
Liked by Kayvane Shakerifar
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Really enjoyed speaking at Visa Commercial Day Hungary about new segments in B2B payments! Great discussions with clients and partners on where the…
Really enjoyed speaking at Visa Commercial Day Hungary about new segments in B2B payments! Great discussions with clients and partners on where the…
Liked by Kayvane Shakerifar
Experience
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Education
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Durham University
Upper Second Class Honours (2:1)
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Business Finance degree allows in-depth study of critical concepts in finance, economics and business. Final year dissertation on: " An Investigation into the presence of Feedback Trading in the BRIC Nations" which merged Behavioural Finance with Security Investment Analysis, with a particular interest on Emerging markets (the BRICs).
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Licenses & Certifications
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Serverless Data Analysis with Google BigQuery and Cloud Dataflow
Coursera
Credential ID 82M728AFRJLV
Projects
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Infrahack 2019 - 1st Place
See projectOur team, Error 404 Team name not found, focused on the lift & escalator accessibility challenge set by Network Rail& TfL. The solution allows passengers with accessibility requirements to see lift and escalator status, in real-time, and plan their journey around it through existing apps like Trainline, CityMapper, and National Rail Enquiries thanks to the scalable API the team built.
Additionally, the team looked at solving the lift prioritisation works across the country by using CCTV…Our team, Error 404 Team name not found, focused on the lift & escalator accessibility challenge set by Network Rail& TfL. The solution allows passengers with accessibility requirements to see lift and escalator status, in real-time, and plan their journey around it through existing apps like Trainline, CityMapper, and National Rail Enquiries thanks to the scalable API the team built.
Additionally, the team looked at solving the lift prioritisation works across the country by using CCTV camera footage to count the number of people using each asset in each station. I built this Computer Vision Model in Python using YOLO object detection with OpenCV.
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BigSurv 2020: Converting the Twitter API into a high quality panel via machine learning
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The project aimed to show how twitter could be used as a high frequency polling input for political events. Based on historical tweets collected leading up to the Brexit referendum, I built all the feature extraction models to feed the forecasting model. This includes, an NLP pipeline to predict the political stance of every tweet in the dataset. Using the twitter pictures, demographics were extracted using a computer vision pipeline. Location was inferred based on the given profile location…
The project aimed to show how twitter could be used as a high frequency polling input for political events. Based on historical tweets collected leading up to the Brexit referendum, I built all the feature extraction models to feed the forecasting model. This includes, an NLP pipeline to predict the political stance of every tweet in the dataset. Using the twitter pictures, demographics were extracted using a computer vision pipeline. Location was inferred based on the given profile location, confirmed through NER - then geo-encoded for coordinates.
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HackTrain VI - Finalist, Winner of the SilverRail Challenge
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Our team built an enterprise grade chatbot that can cancel and refund customer journeys via both a web front end and a facebook messenger integration.
The front end uses BotCopy to allow for rich message responses on WebApps. Intent Extractions are handled by DialogueFlow, fulfilment is done using a custom Python REST API which interacts with SilverRail’s SOAP Ticketing API to enable users to get refunded by only submitting their booking reference. Works for both full refunds and partial…Our team built an enterprise grade chatbot that can cancel and refund customer journeys via both a web front end and a facebook messenger integration.
The front end uses BotCopy to allow for rich message responses on WebApps. Intent Extractions are handled by DialogueFlow, fulfilment is done using a custom Python REST API which interacts with SilverRail’s SOAP Ticketing API to enable users to get refunded by only submitting their booking reference. Works for both full refunds and partial journey refunds.Other creators -
Languages
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French
Native or bilingual proficiency
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English
Native or bilingual proficiency
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Italian
Limited working proficiency
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Persian
Professional working proficiency
Recommendations received
1 person has recommended Kayvane
Join now to viewMore activity by Kayvane
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We hosted OpenAI Frontiers London, our largest European executive event yet! Leaders like Antonio Bravo Acín (Banco Bilbao Vizcaya Argentaria)…
We hosted OpenAI Frontiers London, our largest European executive event yet! Leaders like Antonio Bravo Acín (Banco Bilbao Vizcaya Argentaria)…
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Faz tempo que não escrevo por aqui... e tem um motivo. Vou deixar de ser engenheiro de software pra virar pedreiro por causa da Inteligência…
Faz tempo que não escrevo por aqui... e tem um motivo. Vou deixar de ser engenheiro de software pra virar pedreiro por causa da Inteligência…
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Hard to believe it’s been two months since I left London and started the Stanford GSB MSx program (already nearing the end of academic Q1). I cannot…
Hard to believe it’s been two months since I left London and started the Stanford GSB MSx program (already nearing the end of academic Q1). I cannot…
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