Masood Krohy Email and Phone Number
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I am Masood Khosroshahy (Krohy), Ph.D., the CEO at PatternedScience and a Senior Solutions Architect. I accompany my clients in their complex projects such as operationalization of advanced data analytics and AI prototypes. I enjoy designing system architecture and coding in several languages; Python and SQL being the ones I use most frequently, with occasional use of Scala, Java & C++. Having worked with many corporations in several industries, I have first-hand experience in productionizing projects and prototypes in on-prem & cloud environments (Azure & AWS) and the related performance fine-tuning and subtleties.Few highlights from current and past projects and clients:– EDC (finance): working on data modeling & data solution architecture design for multiple projects/asks (Azure, Databricks, Synapse, InfoSphere)– Pfizer (pharmaceutic): worked on the solution architecture for a major Pfizer project (AWS, Snowflake, Salesforce)– Beneva (insurance): worked on the solution architecture for several ML and advanced analytics use cases, including MLOps aspects as well as ETL/data pipelines (AWS, Snowflake, Anaconda)– Industrial Alliance (insurance): worked on the solution architecture for the company's flagship ML project (Azure, Snowflake)– Hydro-Québec (energy): designed solution architectures for 3 ML/Big Data projects (Azure, Databricks)– B.Yond (telecom): led few and helped with several other data mining and AI projects for B.Yond (on-prem, Spark)– PatternedScience (AI platform start-up): design & implementation of the UniAnalytica platform (AWS)– CN (transportation): built an AI-powered product to detect defective railroad components (Azure, TensorFlow)– Intact (insurance): detected driving behavior from the 80-billion-datapoint telematics data as well as worked on the optimization of their Hadoop/Spark platform (Azure, Hadoop, telematics data)– Rogers (telecom): worked on network performance benchmarking using multi-terabyte telecom data (SQL Server)– Concordia (academia/computer security): developed and validated analytical models for botnets during Ph.D. workMore on my technical profile:– 10+ years of experience in data science, data engineering and platform/solution architecture design– 7 years of experience as Tech Lead and advisor to executives gained in the past roles– Architecture methodologies/tools: TOGAF certification & experience with C4 Model & ArchiMate/Archi– Certified Associate in Project Management (PMI’s CAPM certificate 2012-2017)– Recent tech talks/demos: https://www.analytical.works/tag/talk/
Patternedscience
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Senior Solutions Architect | Founder And CeoPatternedscienceMontreal, Qc, Ca
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Senior Solutions Architect | Founder & CeoPatternedscience Mar 2017 - Present– Consultancy services: advisory and hands-on contributions to Big Data and ML projects– Advanced Solutions for Quantitative Finance, Telecom & Big Data Geoscience
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Chief Architect, UnianalyticaPatternedscience Nov 2017 - Jun 2019Website: www.unianalytica.com, built on AWS & infra-agnosticDesign and implementation of the UniAnalytica platform:– Installation and configuration of components to cover various use cases– Determining the strategy for installation and configuration on the cluster of EC2 VMs (DevOps implementation with Ansible, Docker containers for TF Serving, etc.)– Determining and implementation of strategy for securing the access: firewalls on the CentOS VMs, VPN/private network for the cluster with whitelisted IPs for access, IAM roles
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Data ArchitectExport Development Canada | Exportation Et Développement Canada May 2023 - Apr 2024Ottawa, Ontario, Ca– Designed several data solution architectures within a data solutions delivery squad to respond to various business requests (requirements gathering, analysis of available tools/platforms within the existing environment & solution design)– Organized multiple workshops with fellow architects at the CoE and with the Data Governance team to improve data modeling and solution delivery practices– Tech: Azure, Databricks, Synapse, InfoSphere -
Senior Solutions ArchitectPfizer Mar 2023 - May 2023New York, New York, Us– Worked on Pfizer projects via Appnovation Technologies– Contributed to the solution architecture design for a major Pfizer project on improving the capacity to manage/recruit participants in clinical trials– Used the C4 Model methodology to document the existing and target architectures– Tech: AWS, Snowflake, Salesforce -
Bi Architect (Mlops)Beneva Jul 2022 - Dec 2022Québec, Ca– Worked on Beneva projects via Tundra Technical Solutions– Worked on the solution architecture for several ML and advanced analytics use cases, including MLOps aspects and ETL/data pipelines– Designed the target/production MLOps architecture, considering the existing environment and the ongoing projects– Tech: AWS, Anaconda Enterprise, Snowflake -
Solutions Architect (Data & Ai)Ia Financial Group (Industrial Alliance) Nov 2021 - Jul 2022Québec, Québec, Ca– Worked on the solution architecture of the company's flagship project in the artificial intelligence domain, helped develop the blueprint for the rest of the projects– Used the C4 Model methodology to document and refine the architecture– Also acted as the MLOps Developer/Consultant on the project– Tech: Azure ML, Azure DevOps, Databricks/Spark (Python notebook), Snowflake, TensorFlow -
Ai ArchitectHydro Québec Sep 2020 - Jun 2021Montréal, Québec, Ca– Analyzed business requirements and available platforms (inc. their characteristics in the Hydro-Québec’s environment) and designed solution architectures for 3 major ML/Big Data projects of IREQ, company’s research institute, as well as contributed to several other projects– Data types: structured data in Delta tables, unstructured data (images, geospatial data, etc.)– Tech: Databricks (Spark/Delta), Azure ML, TensorFlow, MLflow -
Sr Data Science AdvisorB.Yond Apr 2018 - Sep 2018San Jose, California, UsI led few and helped with several other data mining and AI projects for B.Yond, an AI company in the telecom space. The company is working on some data science projects, supported by its subject matter experts working at Tier 1 US telecom carriers. Brief notes regarding the executed projects:– Data mining/pattern detection on the alarms data streaming out of network elements to help detect systematic problems as well as reduce the number of redundant alarms;– Development of a Deep Learning model to predict impending congestion in the cellular network to optimize capacity expansion expenditures;– Tech: TensorFlow and Spark -
Lead Data ScientistCn Apr 2017 - Oct 2017Montreal, Qc, Ca– Member of Operational Technology Data Services (OTDS) team– Designed and built an AI-powered product: automatic, Deep Learning-based, recognitionof defective railroad components from images taken by specialized test trains. Two complex,ConvNet/TensorFlow models working in tandem (object within object detection)– Proposed solution architectures for enriching geospatial data (EFDM project) -
Data ScientistIntact Financial Corporation May 2015 - Mar 2017Toronto, Ontario, Ca– Member of Intact Lab R&D team– Working on the firm's usage-based insurance (UBI) project, involving telematics data analytics (80 billion records/year)– Utilizing Postgres/PostGIS and several components from the Hadoop/Spark ecosystemsTechnical Highlights:– Designed the architecture, implemented, and operationalized a Big Data Mining application on Hadoop (pattern recognition in telematics data)– Geospatial filtering and analysis of Big Data, implemented using Hive UDFs– Designed and deployed a distributed, TensorFlow-based infrastructure to enable Deep Learningon Big Data projects– Designed several Deep Learning models using TensorFlow to pump more intelligence into Intact’s telematics programManagement and Coaching:– Transformed business requirements from the telematics/R&D directors to technical solutions– Helped the project managers with scoping & tasks assignment during the implementations– Coached IT specialists during delegation of some operationalized/implemented solutions– Advised C/D-level executives during several RFI processes with IT/infrastructure vendors– Organized and delivered an Advanced Data Analytics training to 20+ analysts, senior analysts, and directors in the company (data mining/machine learning with Python/Hive/Spark) -
Senior AnalystRogers Communications Aug 2013 - Aug 2014Toronto, Ontario, Ca– Member of OSS Benchmarking team / Service Quality Assurance program– Refined the multi-carrier wireless network drive testing (benchmarking) programTechnical Highlights:– Developed a reporting/analytics system to gain insights from multi-terabyte SQL databases– Used R to run statistical tests on benchmarking data collected from the 3 main cellular networkoperators in order to identify trends, support marketing claims, etc.– Conducted root cause analysis of network events to help optimize Rogers’ UMTS/LTE networks:voice call drops, coverage issues, low data throughput on LTE/HSPA networks, etc.– Developed expertise of SwissQual’s NQDI, NQWeb, NQView & Diversity BenchmarkerManagement and Coaching:– Transformed business requirements from OSS Benchmarking manager to technical solutions– Remotely worked with and monitored a national team for data collection (drive tests)– Provided expert opinion to the legal department in defending Rogers’ marketing claimsduring occasional arbitration processes with its competitors– Coached marketing executives on how to best utilize the network performance results tocraft new marketing messages to the consumers in the Canadian market– Created various charts/graphs to highlight and communicate potential improvements tothe performance of the cellular network to the executives -
Ph.D. CandidateConcordia University Jan 2010 - Apr 2013Montreal, Qc, Ca– Developed several Continuous-Time Markov Chain (CTMC) models to predict and estimate botnet size (a Predictive Analytics type analysis using probability theory concepts)– Wrote numerous scripts in Mathematica and Matlab for computing and analyzing the data– Compared the results predicted by the developed analytical models with botnet measurementresults reported by the Internet security industry (Damballa corporation’s data)– Analyzed the 4G cellular networks and determined a vulnerability in the LTE air interface– Customized LTE-Sim, a C++-based 4G/LTE simulator, to conduct a simulation to determinethe number of botnet nodes needed for a DDoS attack against the cellular network– PhD Thesis containing analysis and data visualizations: www.masoodkh.com/PhDHigh-level experience obtained:– Gained a great insight into network security issues affecting communication networks– Developed the capacity to devise solutions to predict and mitigate network security threats– Enhanced project and time management skills while working on the phases of the projectProduced publications:– “SComF and SComI Botnet Models: The Cases of Initial Unhindered Botnet Expansion”,25th Annual Canadian Conference on Electrical and Computer Engineering (CCECE12), April 29-May 2, 2012, Montreal, Canada, DOI: 10.1109/CCECE.2012.6334871– “The SIC Botnet Lifecycle Model: A Step Beyond Traditional Epidemiological Models”,Computer Networks (Elsevier), Special Issue on Botnet Activity: Analysis, Detection andShutdown, Volume 57 (2013), Issue 2, pp. 404–421, DOI: 10.1016/j.comnet.2012.07.020– “Botnets in 4G Cellular Networks: Platforms to Launch DDoS Attacks Against the AirInterface”, 2013 International Conference on Selected Topics in Mobile and Wireless Networking(MoWNeT), 19-21 August 2013, Montréal, Canada. -
Researcher/ProgrammerConcordia University Sep 2009 - Dec 2009Montreal, Qc, Ca– Designed and developed a presence-based messaging application in Java (NetBeans IDE)– Developed a graphical user interface for the client software using the IDE tools– Project conducted as part of a Ph.D. program course
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Lab Instructor/ResearcherÉcole Polytechnique De Montréal Sep 2007 - Jun 2009Montréal, Québec, Ca– Served as lab instructor and teaching assistant for the course “Data transmission and digitalcommunication networks” (ele4704)– Conducted experiments with network equipments and supervised students’ experiments– Graded assignments and conducted exercise sessions for computer network problems– Worked on a research project regarding the problems of P2P traffic in the access networkreported by Bell Canada engineers– Using the Eclipse IDE, customized and programmed in NS-2, a C++/TCL-based networksimulator, to conduct a simulation studying the P2P traffic–Wrote numerous scripts in Python for parsing, computing and graphing the data/trace files– Proposed a model to help with the P2P traffic problems and presented it in the followingpaper: “UARA in Edge Routers: An Effective Approach to User Fairness and Traffic Shaping”,International Journal of Communication Systems (Wiley), 25: 169–184. DOI: 10.1002/dac.1262 -
InternTélécom Paristech/Inria Jul 2006 - Jan 2007– Designed the architecture and determined the necessary parameters of an IEEE 802.11 physicallayer and propagation models in a prototype event-based network simulator– Implemented the designed architecture using C++ in the network simulator– Documented the project results for integration in the NS-3 network simulator project– Gained experience in working with and integrating various telecom C++ libraries– Project conducted for the M.Sc. thesis
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Researcher/ProgrammerTélécom Paristech Jan 2006 - Jun 2006Palaiseau, Fr– Modeled Session Initiation Protocol (SIP) and Routing Information Protocol (RIP) usingUML in Rhapsody (inc. partial C++ implementation of the protocol logic for code generation)– Investigated IP Multimedia Subsystem (IMS), and its application servers, for advanced telecomservice delivery; the prepared report on IMS helped with the securing of a grant from amajor telecom company– Projects carried out as part of the M.Sc. program -
Researcher/ProgrammerIran University Of Science And Technology Feb 2004 - Sep 2004Tehran, Ir– Implemented the Session Initiation Protocol (SIP) in the J-Sim network simulator– Investigated the feasibility of using SIP, SDP, and T.38 protocols for real-time fax transmissionon the Internet (Fax over Internet Protocol – FoIP)– Conducted for the B.Sc. final project– Presented the results in the following paper: “Utilizing DiffServ and SIP Contact Header forReal-time Fax Traffic Engineering”, 18th Annual Canadian Conference on Electrical and ComputerEngineering (CCECE05), May 1-4, 2005, Saskatoon, Saskatchewan, Canada -
Researcher/ProgrammerIran University Of Science And Technology Oct 2003 - Jan 2004Tehran, Ir– Analyzed the performance of antenna structures using the HP HFSS software– Supervised the construction of the antenna having the optimal performance– Helped with the documentation of the results in three conference papers– Project carried out as an extension of the work done during Antenna lab in the B.Sc. program
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InternFortex Jul 2003 - Sep 2003– Developed a simulator in C++ for a novel approach in matrix inversion calculation– Internship done as part of the B.Sc. program
Masood Krohy Skills
Masood Krohy Education Details
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Concordia UniversityElectrical And Computer Engineering -
Télécom Paristech (Enst)Networked Computer Systems
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Iran University Of Science And TechnologyElectrical Eng. - Telecommunications
Frequently Asked Questions about Masood Krohy
What company does Masood Krohy work for?
Masood Krohy works for Patternedscience
What is Masood Krohy's role at the current company?
Masood Krohy's current role is Senior Solutions Architect | Founder and CEO.
What is Masood Krohy's email address?
Masood Krohy's email address is ma****@****ers.com
What schools did Masood Krohy attend?
Masood Krohy attended Concordia University, Télécom Paristech (Enst), Iran University Of Science And Technology.
What skills is Masood Krohy known for?
Masood Krohy has skills like Telecommunications, Java, Sql, Project Management, Statistics, Machine Learning, Deep Learning, Data Mining, Data Analytics, Tensorflow, Matlab, C++.
Who are Masood Krohy's colleagues?
Masood Krohy's colleagues are Wilson Blank.
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