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Lev Selector, Ph.D. Email & Phone Number

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 at Enterprise AI Solutions
Location: New York, United States 26 work roles 3 schools
1 work email found @redapt.com 2 phones found area 917 and 212 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email l****@redapt.com
Direct phone (917) ***-****
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Current company
Enterprise AI Solutions
Role
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
Location
New York, United States

Who is Lev Selector, Ph.D.? Overview

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Quick answer

Lev Selector, Ph.D. is listed as 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 at Enterprise AI Solutions, based in New York, United States. AeroLeads shows a work email signal at redapt.com, phone signal with area code 917, 212, and a matched LinkedIn profile for Lev Selector, Ph.D..

Lev Selector, Ph.D. previously worked as AI Architect at Enterprise Ai Solutions and CTO & Co-Founder at Bixbeta. Lev Selector, Ph.D. holds Ph.D., Mathematical Modelling, Computer Simulations, Biophysics from Moscow Institute Of Physics And Technology (State University) (Mipt).

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*@redapt.com
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Profile bio

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)

Listed skills include Machine Learning, Python, Artificial Intelligence, Sql, and 45 others.

Current workplace

Lev Selector, Ph.D.'s current company

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Enterprise AI Solutions
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
26 roles · 33 years

Lev Selector, Ph.D. work experience

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

Ai Architect

Current
Enterprise Ai Solutions

- 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

Jan 2022 - Present

Cto & Co-Founder

- AI-enabled crypto accounting and payment/donation solution- Generative AI for Natural Language Interface to analytics and reporting

Nov 2022 - Aug 2023

Data Science Practice Lead

Woodinville, 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)

Nov 2020 - Nov 2022

Machine Learning & Analytics Consultant

- 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

Feb 2020 - Nov 2020

Head Of Machine Learning And Ai, Digital Labs

London, 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

Dec 2019 - Feb 2020

Vp Of Data Science, Head Of Analytics

New 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)

Dec 2018 - Sep 2019

Senior Data Scientist At Vanguard Group

Mumbai, Maharashtra, In

Worked 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.

Jun 2018 - Dec 2018

Machine Learning & Analytics Consultant

Machine 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

Jun 2017 - May 2018

Consultant - Machine Learning And Ai, Business Analytics, Big Data Processing And Analysis

New York, Ny, Us

Trained 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

Nov 2014 - Jun 2017

Consultant - Financial Analytics, Billing & Reporting

New York, New York, Us

Led 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)

Apr 2012 - Apr 2014

Consultant - Mortgage Analytics

New York, Ny, Us

Mortgage 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++

Apr 2010 - Apr 2012

Algorithmic Trading Support

Old 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.

Aug 2009 - Dec 2009

Consultant - Sybase To Ms Sql Server Migration

New York, New York, Us

Consultant 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.

May 2009 - Jun 2009

Consultant

Charlotte, Nc, Us

Equity, 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.

Nov 2008 - Feb 2009

Consultant

London, Gb

Consultant 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

Dec 2007 - Jun 2008

Consultant

New York, Ny, Us

As 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.

Sep 2007 - Oct 2007

Consultant

New York, Ny, Us

EFS 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

Aug 2006 - Aug 2007

Consultant

New York, Ny, Us

Joint Distribution System (JDS). Database architecture, ETL, database performance tuning, automation of testing/deployment. Technologies: Unix, Perl, Java, Sybase

Jul 2005 - Jul 2006

Consultant

New York, Ny, Us

Prime Servies. Perl scripts and stored procedures.

Mar 2005 - May 2005

Programmer

Credit Suisse First Boston

CSFB 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).

Feb 2004 - Mar 2005

Consultant

New York, New York, Us

FICC (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

Dec 2000 - May 2003

Programmer

New York, New York, Us

Maintenance 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.

Jun 1999 - Apr 2000

Programmer

Toronto, Ontario, Ca

Design 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.

Nov 1998 - May 1999

President

Infolink International, Inc.

Selling misc. goods and services. Web design and database design.

1994 - 1998 ~4 yrs

Staff Associate

New York, New York, Us

Post-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.

Aug 1991 - 1994

Research Associate

National Cardiology Research Center, Moscow, Russia

* 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.

Sep 1981 - Jul 1991
3 education records

Lev Selector, Ph.D. education

Ph.D., Mathematical Modelling, Computer Simulations, Biophysics

Moscow Institute Of Physics And Technology (State University) (Mipt)

Master Of Science (M.S.), Automation, Biophysics And Engineering

Moscow Institute Of Physics And Technology (State University) (Mipt)

Education record

Specialized Mathematical School No. 2, Moscow, Ussr
FAQ

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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 Enterprise AI Solutions?

Lev Selector, Ph.D. is listed as 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 at Enterprise AI Solutions.

What is Lev Selector, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @redapt.com for Lev Selector, Ph.D. at Enterprise AI Solutions.

What is Lev Selector, Ph.D.'s phone number?

AeroLeads has found 2 phone signal(s) with area code 917, 212 for Lev Selector, Ph.D. at Enterprise AI Solutions.

Where is Lev Selector, Ph.D. based?

Lev Selector, Ph.D. is based in New York, United States while working with Enterprise AI Solutions.

What companies has Lev Selector, Ph.D. worked for?

Lev Selector, Ph.D. has worked for Enterprise Ai Solutions, Bixbeta, Redapt Inc, Selectorweb, Inc, and Capco.

How can I contact Lev Selector, Ph.D.?

You can use AeroLeads to view verified contact signals for Lev Selector, Ph.D. at Enterprise AI Solutions, including work email, phone, and LinkedIn data when available.

What schools did Lev Selector, Ph.D. attend?

Lev Selector, Ph.D. holds Ph.D., Mathematical Modelling, Computer Simulations, Biophysics from Moscow Institute Of Physics And Technology (State University) (Mipt).

What skills is Lev Selector, Ph.D. known for?

Lev Selector, Ph.D. is listed with skills including Machine Learning, Python, Artificial Intelligence, Sql, Data Science, Team Leadership, Deep Learning, and Unix.

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