Lev Selector, Ph.D.'s Location
New York, New York, United States, United States
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About Lev Selector, Ph.D.
• Artificial Intelligence AI, Large Language Models LLM, Agents, RAG, Vector Databases, AI Applications,• Machine Learning, Data Science, Analytics, Expert, Leadership, Team Builder• Ph.D. in mathematical modeling and computer simulations• Experience of building teams of engineers and data scientists (hiring, training, and managing)• 15+ years of experience with high-volume data processing, analytics, and modeling• Proven track record of building data and analytics systems from scratch, and delivering them on time• Full cycle development from requirements and planning to architecture & implementation• Experience in different areas - Financial, Advertising, e-Commerce, Media, Publishing, Crypto• Data Engineering on clouds (AWS, Azure, GCP) and on-prem, ETL, APIs, big data, data mining• Mathematics and Finance: Ph.D. (Math. Modeling), Advanced Calculus (Math Analysis), Linear Algebra, Vectors & Tensors, Theory of Complex Variables, Differential Equations, Partial Differential Equations, Differential Equations in Mathematical Physics, Probability & Statistics, Statistical Radiophysics (including time series analysis and digital pattern recognition algorithms), Optimization, Monte Carlo Simulations, Numerical Methods, Machine Learning, Deep Learning, NLP, Transformers, Generative AI, LLMs• Programming & Data Science Tools: Python, Pandas, NumPy, SQL, ETL, FastHTML, Ollama, LangChain, LangGraph, Scikit-Learn, NLP/NLTK, Huggingface tools, AWS SageMaker, Perl, Go (Golang), Javascript, C/C++, Java, Excel VBA, SQL databases (PostgreSQL, MySQL, Vertica, Netezza, Google BigQuery, MongoDB, Sybase, DB2, Oracle, MS SQL), Web Apps, Cloud (Amazon AWS, Azure, Google, IBM)
Lev Selector, Ph.D.'s Current Company Details
Enterprise Ai Solutions
AI Expert, Artificial Intelligence, Generative AI, LLM - Large Language Models, ChatGPT, Anthropic Claude, Google Gemini, Mistral, Ollama, Local AI Solutions, RAG, Vector Databases, Embeddings, Machine Learning
Lev Selector, Ph.D. Work Experience Details
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Ai ArchitectEnterprise Ai Solutions Jan 2022 - Present- AI projects using LLM (Large Language Models) for business - local and on cloud- RAG (Retrieval Augmented Generation) - custom private conversational interfaces for business systems. Talk to your data - cognitive search- Text generation (generate newsletters, contracts, instructions, summaries, FAQs)- Generating workflow diagrams and documentation for audits, software architectures, deployment workflows.- LLM quantizing, fine-tuning. Prompt-engineering. Self-verification- Embeddings, vector database, Milvus, PostgreSQL - Huggingface tools, models & APIs, Ollama, MLStudio, llama.cpp, LangChain-LangGraph-LangSmith- Multiple models: OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, Google Gemini, LLaMa 3.1, Mistral-Nemo, Qwen-2
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Cto & Co-FounderBixbeta Nov 2022 - Aug 2023- AI-enabled crypto accounting and payment/donation solution- Generative AI for Natural Language Interface to analytics and reporting -
Data Science Practice LeadRedapt Inc Nov 2020 - Nov 2022Woodinville, Washington, Us- Building, training, and managing a team of data scientists and engineers- Data architecture in the cloud (Azure, AWS, Google)- Data pipelines (Apache AirFlow, Astronomer.io, Google Cloud Composer, Azure Data Factory, Synapse Integrate)- SQL Data Warehouse (Google BigQuery, Azure Data Warehouse, AWS Redshift)- Hands on Machine Learning modeling in the cloud (Azure Machine Learning Studio, Azure Synapse Analytics, Azure Cognitive Services, Python, Scikit-Learn, AutoML, predictive modeling, regression, classification, time series forecasting, anomaly detection) -
Machine Learning & Analytics ConsultantSelectorweb, Inc Feb 2020 - Nov 2020- National Debt Relief ( https://www.nationaldebtrelief.com ) Machine Learning and ETL in production; - Provisions Group ( https://provisionsgroup.com ) Machine Learning with AWS SageMaker and R; - Vara Platform ( https://varaplatform.com ) Data Integration for analytics platform -
Head Of Machine Learning And Ai, Digital LabsCapco Dec 2019 - Feb 2020London, Uk, Gb- Building, training, and managing a team of data scientists- Hands on modeling using Python, AWS, Linux VMs- Mainframe Test Automation project using Python, GnuCOBOL, libFuzzer, antlr4, Neo4j -
Vp Of Data Science, Head Of AnalyticsNational Debt Relief, Llc Dec 2018 - Sep 2019New York, New York, Us- Building, training, and managing a team of data scientists- Full cycle Machine Learning from data preparation, feature selection, model testing and tuning, deploying into production, tuning for performance and reliability- Hands on modeling using Python, Azure cloud, H2O driverless AI, DataRobot- Data Engineering - building ETL processes for data analysis- Building visualizations using Salesforce Einstein Analytics Dashboards and Jupyter notebooks- Deploying models on Azure Cloud (Linux VMs, Azure SQL Data Warehouse, Python, Nginx web server, Gunicorn gateway server, Scikit-learn, Random Forest, XGBoost, H2O.ai) -
Senior Data Scientist At Vanguard GroupTata Consultancy Services Jun 2018 - Dec 2018Mumbai, Maharashtra, InWorked on helping Vanguard to migrate their analytics from old platform (mainframe) to Amazon Cloud. Machine Learning and Artificial Intelligence, Scikit-Learn, AWS SageMaker. Designed architecture for data migration into the cloud (AWS) for analytics, developed data structures and lambda functions. Managed deployment. Trained a team in ML and AI (hands-on and lectures). Built models for cybersecurity & anomaly detection. -
Machine Learning & Analytics ConsultantSelectorweb, Inc Jun 2017 - May 2018Machine Learning, AI, Analytics, NLP (Natural Language Processing). Anaconda Python3, Scikit-Learn, NLTK, Pandas, Numpy, TensorFlow, Amazon AWS (EC2, S3), Google Cloud (BigQuery, MySQL), IBM Cloud (IBM Watson – Natural Language Understanding for Sentiment Analysis, Tone Analyzer, Personality Insights) - Galvanize ( https://www.galvanize.com/new-york ) - made presentations for graduates about Deep Learning and AI - Leadvisor ( https://www.leadvisor.io ) - built a system to automatically generate hierarchical reports (Excel and web, Linux, Google BigQuery, MySQL) - JKCF ( http://www.jkcf.org ) - Machine learning using Logistic Regression and NLP (Natural Language Processing) on highly imbalanced data. Data preparation, feature extraction/construction. Comparison of different approaches to solve “imbalanced data” problem, improved accuracy of the model
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Consultant - Machine Learning And Ai, Business Analytics, Big Data Processing And AnalysisPenguin Random House Nov 2014 - Jun 2017New York, Ny, UsTrained and led the team to build systems in Business Intelligence/Analytics, Big Data Collection and Integration (ETL/ELT), Machine Learning and AI, Reporting. Python, pandas, TensorFlow, Netezza, SQL, Redis, Amazon Cloud, Linux- Managed work of several programmers to write software for high-volume data collection (parallel web scraping at ~2 Mln pages/day). Deployed on Amazon Cloud (AWS EC2)- Trained the team in Python, analytics tools, machine learning and AI. Organized "Deep Learning Book Club" to promote the use of Machine Learning and AI in-house- Worked with several business groups to create various data feeds and tools to clean and ingest data- Created Python framework to work with IBM Netezza database, set up jobs to process millions of rows of vendor data daily- Wrote analytics tools for price analysis and estimation -
Consultant - Financial Analytics, Billing & ReportingAppnexus Apr 2012 - Apr 2014New York, New York, UsLed a team of developers to design and implement systems for processing big data (~60TB/day) for billing, reporting, and analytics. Linux, Python, Pandas, Vertica, Mysql, Hadoop, Hive, git- Trained and managed a team of developers for building the billing/reporting systems and cost_revenue database. Taught courses on python/pandas to the company’s employees- Reduced data extraction time from 3 hours to 7 minutes (more than 30 Bln data rows)- Designed and implemented a billing and reporting framework for processing trading data across 2000 clients with custom rules (43 thousand lines of python code, self-recoverable ETL processes, health-monitoring, auto-back-testing to validate both data and code) - Designed business intelligence & analytics systems (multiple reports, graphs, Analytics MySQL database) -
Consultant - Mortgage AnalyticsJ.P. Morgan Apr 2010 - Apr 2012New York, Ny, UsMortgage Analytics (Structured Products Group). MBS (Mortgage-Backed Securities) - cashflows, prepayment, pricing.Technologies: Unix/Linux, C/C++, Perl, Python, Sybase, Excel VBA.Played a key role in migrating legacy C++ calculators (Fixed Income MBS) across data centers. Personally fixed and migrated ~100 applications, including old C/C++ applications, batch jobs, scripts used by modeling groups, and web applications. Wrote multiple Perl modules and applications (data feeds, utilities, monitoring, docs-builder system) to both help the migration and to streamline the nightly batch processesInstrumented analytical calculators to measure cpu time, instrument ids and categories, etc. These metrics would later be used to generate reports to identify how the resources were allocatedDeveloped Excel VBA applications used for regression analysis, and as a frontend for analytical calculators implemented in C++ -
Algorithmic Trading SupportWorldquant Llc Aug 2009 - Dec 2009Old Greenwich, Ct, Us- Worked directly with senior portfolio managers and traders to create and monitor performance of new strategies. Created monitoring tools. Used parameters such as position similarity, fillrate, imbalance, PnL, draw-down, sharpe ratio, slippage measure, etc. Resized strategies as needed.- Ran simulations to back-test strategies.- Misc. routine tasks: fixing errors related to corporate actions or recalled locates, reconciling PnL and trades, investigating and fixing PnL problems, booking trades using weighted split between many strategies, investigating trading problems on requests from compliance department, generating custom reports (PnL, crossing, commissions, correlations between strategies, exposure (currency, etc.) – per trader, group, country, annualized, etc.), setting up hedging, setting up and monitoring futures’ rollover. -
Consultant - Sybase To Ms Sql Server MigrationCitigroup May 2009 - Jun 2009New York, New York, UsConsultant at Equity Financing. Migration of perl/java/SQL data and analytics jobs from Sybase to MS SQL Server. Data cleaning and validation. Technologies: Unix, Perl, C++, Java, Sybase, MS SQL Server. -
ConsultantBank Of America Nov 2008 - Feb 2009Charlotte, Nc, UsEquity, Operations. Miscellaneous projects: MySQL database upgrade and migration, RT (Request Tracker) custom Perl programming (perl cgi, javascript, css, RT::*, Linux), custom monitoring reports using perl to scrape information from various web pages and send it using TIBCO Rendezvous messaging. -
ConsultantHsbc Dec 2007 - Jun 2008London, GbConsultant at Asset Management Group. Fixed Income & Equities. Working directly with traders. Trade feeds & reports. PnL and risk reports. Analytics. Technologies: Perl, Sybase 12.5, Oracle, Windows Server 2003, Control-M, SVN -
ConsultantJpmorgan Chase Sep 2007 - Oct 2007New York, Ny, UsAs part of a consulting team from Hewlett Packard participated in a short-term project reviewing architecture of ETL processes (Extract-Transform-Load) and data flows in several datastores in Private Banking at JPMorgan-Chase. The goal of the review was to find how the system should be changed to be capable to process more data (x5 and more) in the same time frame. I was invited mostly because of my Sybase expertise. -
ConsultantMerrill Lynch Aug 2006 - Aug 2007New York, Ny, UsEFS project (Enterprise File System). Started as a developer. Later was responsible for EFS operations, including all production releases. Technologies: Unix, Perl, C/C++, Oracle, Sybase, NAS filers, NFS -
ConsultantJp Morgan Chase & Co Jul 2005 - Jul 2006New York, Ny, UsJoint Distribution System (JDS). Database architecture, ETL, database performance tuning, automation of testing/deployment. Technologies: Unix, Perl, Java, Sybase
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ConsultantMorgan Stanley Mar 2005 - May 2005New York, Ny, UsPrime Servies. Perl scripts and stored procedures. -
ProgrammerCredit Suisse First Boston Feb 2004 - Mar 2005CSFB Prime Services. Development and support of an Operational Data Warehouse. Unix, Sybase, Perl, Bash, CGI, Java servlets (Weblogic), CVS version control, Control-M. * Development/maintenance of the Prime Services Data Warehouse (PSDW) - a set of 4 databases and approx. 200 ETL jobs. Performance tuning, avoiding blocking. * Developed a big searchable web site to keep documentation for the project. Developed a real time dashboard with tree diagrams showing dependencies between the jobs (used perl to parse Control-M reports, map dependencies - and generate html pages).
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ConsultantGoldman Sachs Dec 2000 - May 2003New York, New York, UsFICC (Fixed Income Currencies and Commodities). Development and maintaining of the OE (Organizational Entities) system – a web-based application with database of all FICC clients, their accounts, business interests, people and contact information. Later migration of this system to Siebel CRM. Technologies: Unix, Perl, C++, Java, Sybase, DB2, Informatica, Siebel, Jython -
ProgrammerCantor Fitzgerald Espeed Jun 1999 - Apr 2000New York, New York, UsMaintenance and redesign of DTS - a large distributed trading systems. Unix (Sun OS) and Windows NT , Apache, mod_perl, CGI / Apache::Registry, Perl DBI, Sybase, SQL, HTML, DHTML, JavaScript, graphics, Java. -
ProgrammerTd Waterhouse Nov 1998 - May 1999Toronto, Ontario, CaDesign of enterprise size scalable web sites with load balancing, business applications and security. Windows NT and Unix (Solaris, BSDI) platforms. Technology: web servers (Apache, Stronghold, Netscape Enterprise 3.6, IIS-4), Netscape Application Server, CGI scripts (Perl, C), HTML, JavaScript, VBScript, ASP, graphics, Oracle, SQL. -
PresidentInfolink International, Inc. 1994 - 1998Selling misc. goods and services. Web design and database design.
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Staff AssociateColumbia University Medical Center Aug 1991 - 1994New York, New York, UsPost-doctoral position. Mathematical modeling of dynamics of organic molecules. To speed-up the calculations, programs were written in C and distributed to several unix computers in different labs. Operations were controlled from one desktop Macintosh computer. Results were fed from unix to Mac and custom programs (Mac C++ and IGOR software ) were used to automatically graphically process and print-out the data. -
Research AssociateNational Cardiology Research Center, Moscow, Russia Sep 1981 - Jul 1991* Project originator and lead developer - real time data acquisition and processing in neuro-physiological experiments.* Project originator and lead developer for hardware and software design of a portable myograph-neurograph for clinical use. (Big project. First version of software was ~25,000 lines of code, software technology used - Pascal, Assembler, C).* Mathematical simulation of nerve impulse generation and propagation along C-fibers. Partial differential equations, Hodgkin-Huxley model, Crank-Nicolson method, modified Runge–Kutta method.* Teaching programming and electronics to graduate students.
Lev Selector, Ph.D. Skills
Machine Learning
Python
Artificial Intelligence
Sql
Data Science
Team Leadership
Deep Learning
Unix
Project Management
Perl
Predictive Analytics
Predictive Modeling
Team Management
Random Forest
Logistic Regression
Natural Language Processing
Databases
Team Building
Linear Regression
Linux
Scikit Learn
Statistics
Xgboost
Problem Solving
Java
Vba
Monte Carlo Simulation
Oracle
C#
Strategy
Microsoft Sql Server
Options
C++
Javascript
Tensorflow
Equities
Mysql
Amazon Web Services
Subversion
Xml
Visual Basic
Aws Sagemaker
Sybase
Sybase Products
Business Intelligence
Data Analysis
Analytics
Presentation Skills
Leadership
Lev Selector, Ph.D. Education Details
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Moscow Institute Of Physics And Technology (State University) (Mipt)Biophysics -
Moscow Institute Of Physics And Technology (State University) (Mipt)Biophysics And Engineering
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Specialized Mathematical School No. 2, Moscow, Ussr
Frequently Asked Questions about Lev Selector, Ph.D.
What company does Lev Selector, Ph.D. work for?
Lev Selector, Ph.D. works for Enterprise Ai Solutions
What is Lev Selector, Ph.D.'s role at the current company?
Lev Selector, Ph.D.'s current role is AI Expert, Artificial Intelligence, Generative AI, LLM - Large Language Models, ChatGPT, Anthropic Claude, Google Gemini, Mistral, Ollama, Local AI Solutions, RAG, Vector Databases, Embeddings, Machine Learning.
What is Lev Selector, Ph.D.'s email address?
Lev Selector, Ph.D.'s email address is le****@****ail.com
What is Lev Selector, Ph.D.'s direct phone number?
Lev Selector, Ph.D.'s direct phone number is +191731*****
What schools did Lev Selector, Ph.D. attend?
Lev Selector, Ph.D. attended Moscow Institute Of Physics And Technology (State University) (Mipt), Moscow Institute Of Physics And Technology (State University) (Mipt), Specialized Mathematical School No. 2, Moscow, Ussr.
What skills is Lev Selector, Ph.D. known for?
Lev Selector, Ph.D. has skills like Machine Learning, Python, Artificial Intelligence, Sql, Data Science, Team Leadership, Deep Learning, Unix, Project Management, Perl, Predictive Analytics, Predictive Modeling.
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