Alexei Lapouchnian, Phd
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Alexei Lapouchnian, Phd Email & Phone Number

Location: Toronto, Ontario, Canada 23 work roles 3 schools
1 work email found @utoronto.ca 2 phones found area 416 LinkedIn matched
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Role
Sessional Lecturer
Location
Toronto, Ontario, Canada
Company size

Who is Alexei Lapouchnian, Phd? Overview

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Alexei Lapouchnian, Phd is listed as Sessional Lecturer at University of Toronto, Faculty of Information, a company with 28510 employees, based in Toronto, Ontario, Canada. AeroLeads shows a work email signal at utoronto.ca, phone signal with area code 416, and a matched LinkedIn profile for Alexei Lapouchnian, Phd.

Alexei Lapouchnian, Phd previously worked as Organizing Team Member at Synthetic Intelligence Forum and Senior Manager, Cloud Engineering - MLOps at Pwc Canada. Alexei Lapouchnian, Phd holds Ph.D., Computer Science from Department Of Computer Science, University Of Toronto.

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Profile bio

About Alexei Lapouchnian, Phd

Given my experience in AI/ML/distributed AI/software agents and an extensive background in business analysis/requirements engineering, my goal is to generate value through the delivery of AI/ML/analytics projects in enterprise and scientific environments.

Listed skills include Software Engineering, Computer Science, Requirements Analysis, Uml, and 32 others.

Current workplace

Alexei Lapouchnian, Phd's current company

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University of Toronto, Faculty of Information
University Of Toronto, Faculty Of Information
Sessional Lecturer
Toronto, ON, CA
Employees
28510
AeroLeads page
23 roles · 22 years

Alexei Lapouchnian, Phd work experience

A career timeline built from the work history available for this profile.

Sessional Lecturer

Current

Toronto, Canada Area

Teaching the regular and/or executive delivery versions of the Masters-level courses "Designing Sustainable and Resilient Machine Learning Systems with MLOps", "Systems Analysis and Process Innovation", "System Requirements and Architectural Design", and "Information Management and Systems".

Sep 2016 - Present

Senior Manager, Cloud Engineering - Mlops

Toronto, Ontario, Canada

Part of a consulting team working on a data integration and analytics implementation project on Google Cloud for an entertainment industry client. Focused extensively on data integration/transformation in Google BigQuery and on developing customizable self-serve dashboards in Google Looker. Helped transfer knowledge and educate the client. Assisted in.

Feb 2022 - Nov 2022

Manager, Digital Accelerator

More than doubled the data science team. Managed AI/ML/data science projects. Reported to upper management, including Assistant Deputy Ministers and the Deputy Minister. Developed collaborative partnerships with other government departments, technology companies, etc. Responsible for the unit’s strategy, procurement, budget proposals, and supplier.

Nov 2021 - Feb 2022

Team Lead, Digital Accelerator

Led a team of data scientists. Responsible for customer engagement, project scoping and requirements. Oversaw the delivery of AI/ML/data science projects – on-premise and in Azure ML. Agile project management.

May 2021 - Oct 2021

Digital Solutions Architect/Data Scientist, Digital Accelerator

Delivered data science/ML/deep learning projects on-premise and in Azure ML; data wrangling; ML pipelines; technologies used: Python, Jupyter, pandas, scikit-learn, XGBoost, TensorFlow, Docker, Kubernetes, MinIO, Flask, data visualization libraries, Power BI.

Nov 2019 - Apr 2021

Researcher

Toronto, Canada Area

  • Leading the development of requirements-driven method for designing flexible BP architectures (BPAs) to enable enterprise-wide process analysis/reconfiguration with the focus on agility and flexibility.
  • Developed a method for continuously evolving BPAs along the four novel dimensions of change. Devised approaches for reasoning about business decision making granularity and for exploring business context information.
  • Applied the approach within the domains of transportation and logistics and to software processes (DevOps).
Sep 2014 - Jan 2022

Researcher/Consultant, Centre For Advanced Studies (Cas)

Ibm Canada

Markham, Ontario

Part of the project “Cognitive Business Operations Made Easy” aimed at the development of model-based methods for simplifying the integration of AI/ML-based cognitive services into business processes for improved support for decision making. Includes the development of flexible and evolving user engagement models, feedback, adaptation, etc.

Mar 2017 - Dec 2021

Sessional Lecturer, School Of Information Technology

Toronto, Canada Area

  • Taught the courses "Requirements Management" and "Systems Analysis and Design II".
Jan 2017 - Dec 2021

Cto

Toronto, Canada Area

Our mission is to help suppliers, buyers, and financiers extract maximum value from the vast and largely untapped supply chain data, including ERP, CRM, procurement integration, credit files, e-mails, etc. We build highly customized intelligent engines designed to assist in informed decision making on credit, risk, and pricing in near real-time and return.

Jun 2018 - Nov 2019

Requirements Lead, "Green 2.0: A Middleware Platform For Enabling S-T Analytics Of Green Buildings"

Toronto, Canada Area

  • Planned and led requirements efforts (stakeholder identification/analysis, document analysis and interviews with SMEs, business/system use case development and documentation, definition of business, stakeholder, and.
  • Helped manage project scope; performed gap analysis and change impact assessment; communicated requirements to the project sponsor, development team, and SMEs for validation and approval.
  • Worked in a multi-functional team, was a liaison b/w IT and business users.
  • Worked with the lead software architect to analyze alternative solutions, refine/improve software architecture, define a test plan, and determine outsourcing feasibility and requirements for hiring developers.
Feb 2014 - Dec 2014

Researcher, Nserc Business Intelligence Network

Toronto, Canada Area

  • Analyzed Business Intelligence (BI) implementation efforts in organizations based on reports and interviews.
  • Applied process- (BPMN) and goal-based notations for modeling BI implementations as continuously evolving information systems. Identified requirements for an improved approach for analyzing such systems.
Jun 2012 - Aug 2014

Postdoctoral Fellow, Department Of Information Engineering And Computer Science

Trento Area, Italy

  • Part of the project “Lucretius: Foundations for Software Evolution” aimed at developing a framework for RE for evolving systems, focusing on adaptive systems and compliance.
  • Developed and implemented a requirements-driven methodology for self-adaptive software systems (SAS).
  • To help specify and analyze evolving systems, developed the novel idea of software evolution requirements.
  • Performed document analysis and interviewed SMEs to create requirements models for SAS in a number of domains. Co-developed system prototypes and simulations to validate the approach.
Jun 2011 - May 2012

Postdoctoral Fellow

Toronto, Canada Area

  • To support the development of adaptive systems, proposed awareness requirements that capture desired success rates for objectives (KPIs) and are used to derive monitoring and control requirements for self-adaptive.
  • Adapted the system identification process to RE for adaptive systems, allowing for qualitative modeling of relationships between system parameters and KPIs to identify appropriate system reconfiguration options.
Dec 2010 - May 2011

Ph.D. Candidate

Toronto, Canada Area

  • The work was performed at the Dept. of Computer Science.
  • Developed an influential requirements-driven approach for engineering adaptive software systems and BPs.
  • To help produce specifications for complex customizable and/or adaptive systems from requirements, developed a method for a semi-automatic generation of flexible system designs (captured using statecharts, feature.
  • Developed a goal-driven method and tools to make BP (re)configuration accessible to non-technical users, based on their preferences over quality criteria (KPIs). Given user priorities, requirements models were used at.
  • Elicited BP configuration/customization needs from users through interviews and requirements work-shops. Acted as a facilitator. Developed a technical requirements specification for the implementation.
  • Presented prototypes and UI mockups to stakeholders for review. Performed user acceptance testing.
Jan 2004 - Nov 2010

Researcher/Developer, Centre For Advanced Studies

Ibm Canada Ltd.

Toronto, Canada Area

  • Won the IBM CAS fellowship for the project “From Business Requirements to Adaptive Business Processes”, a joint project with IBM WebSphere Business Modeler/Monitor team.
  • Lead the project aimed at streamlining and simplifying BP adaptation and evolution. The method integrated goal and BP modeling for business requirements elicitation, process specification, and adaptation.
  • Obtained US Patent No. 2009/0198,532 “A Method and a Tool for BP Adaptation Using Goal Modeling and Analysis”.
  • Developed project plans and reports. Delivered presentations to project sponsors and senior management. Secured a project funding extension. Worked with minimal supervision.
  • Elicited modeling and analysis needs from BP consultants through interviews, questionnaires, and group requirements elicitation sessions. Helped develop a shared understanding, obtained agreements and sign-off..
  • Identified gaps in existing BP adaptation approaches. Produced requirements for the new method.
Jan 2005 - Dec 2008

Teaching Assistant, Dept. Of Computer Science And Ischool

Toronto, Canada Area

  • Teaching assistant for the University of Toronto Computer Science courses on Requirements Engineering, Software Engineering, Databases, etc. and the School of Information course "Designing Information Systems".
  • Developed teaching materials, delivered lectures and seminars on business requirements elicitation and modeling techniques, requirements specification/documentation, risk assessment, software modeling (UML), software.
  • Supervised and evaluated projects, including those on requirements elicitation and documentation, graded assignments and exams.
  • Provided hands-on training on the use of software engineering and modeling tools.
2004 - 2008 ~4 yrs

Research Assistant, Dept. Of Computer Science

Toronto, Canada Area

  • Developed a formal approach for agent-oriented software engineering to support modeling and reasoning about social software agents’ knowledge and goals.
  • Designed tools to support the development of intelligent agents.
  • Produced training materials (including a website) on the use of the framework for creating intelligent multi-agent applications.
Jan 2002 - Jun 2004

It Specialist, Erp Consulting Practice

Toronto, Canada Area

  • Supported over 400 ERP consultants. Responsible for asset management.
  • Assisted SAP Basis consultants at client sites. Installed and supported client-side ERP applications (R/3, PeopleSoft, JDEdwards) and SAP training servers.
  • Extensive experience in rolling out hardware/software. Coordinated trial rollouts, scheduled and delivered announcements, kickoff meetings, training, user setup and configuration, setup custom templates.
May 1998 - Aug 1999
3 education records

Alexei Lapouchnian, Phd education

M.Sc., Computer Science

- Thesis titled "Modeling Mental States in Requirements Engineering -- An Agent-Oriented Framework Based on i* and CASL" - Areas.

FAQ

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What company does Alexei Lapouchnian, Phd work for?

Alexei Lapouchnian, Phd works for University of Toronto, Faculty of Information.

What is Alexei Lapouchnian, Phd's role at University of Toronto, Faculty of Information?

Alexei Lapouchnian, Phd is listed as Sessional Lecturer at University of Toronto, Faculty of Information.

What is Alexei Lapouchnian, Phd's email address?

AeroLeads has found 1 work email signal at @utoronto.ca for Alexei Lapouchnian, Phd at University of Toronto, Faculty of Information.

What is Alexei Lapouchnian, Phd's phone number?

AeroLeads has found 2 phone signal(s) with area code 416 for Alexei Lapouchnian, Phd at University of Toronto, Faculty of Information.

Where is Alexei Lapouchnian, Phd based?

Alexei Lapouchnian, Phd is based in Toronto, Ontario, Canada while working with University of Toronto, Faculty of Information.

What companies has Alexei Lapouchnian, Phd worked for?

Alexei Lapouchnian, Phd has worked for University Of Toronto, Faculty Of Information, Synthetic Intelligence Forum, Pwc Canada, Natural Resources Canada | Ressources Naturelles Canada, and Department Of Computer Science, University Of Toronto.

How can I contact Alexei Lapouchnian, Phd?

You can use AeroLeads to view verified contact signals for Alexei Lapouchnian, Phd at University of Toronto, Faculty of Information, including work email, phone, and LinkedIn data when available.

What schools did Alexei Lapouchnian, Phd attend?

Alexei Lapouchnian, Phd holds Ph.D., Computer Science from Department Of Computer Science, University Of Toronto.

What skills is Alexei Lapouchnian, Phd known for?

Alexei Lapouchnian, Phd is listed with skills including Software Engineering, Computer Science, Requirements Analysis, Uml, Programming, Java, Artificial Intelligence, and Software Design.

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