M. Jahanbakhsh

NLP Engineer

M. Jahanbakhsh holds a Ph.D. in Computer Science, with his research concentrated on designing and implementing Machine Learning algorithms to model human behavior.His professional journey since 2002 has involved the development of Machine Learning (ML) and Natural Language Processing (NLP) models, as well as distributed systems. These endeavors have been instrumental in solving various business challenges, including search and recommendation systems, the development of Large Language Models, fraud detection, and online advertising.

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Available to work

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M. Jahanbakhsh

NLP Engineer

Location

San Francisco, United States

Preferred Work Type

On site

Experience

22+

Years

M. Jahanbakhsh holds a Ph.D. in Computer Science, with his research concentrated on designing and implementing Machine Learning algorithms to model human behavior.His professional journey since 2002 has involved the development of Machine Learning (ML) and Natural Language Processing (NLP) models, as well as distributed systems. These endeavors have been instrumental in solving various business challenges, including search and recommendation systems, the development of Large Language Models, fraud detection, and online advertising.

Assessments & Skill Tests

Natural Language Processing (NLP)

Evaluate candidates' skills in NLP, assessing their ability to develop and implement algorithms, analyze and process human language, and leverage NLP techniques for tasks such as sentiment analysis, language translation, and information extraction.

Score

98/100

Time Taken

50 Mins

Taken On

April, 2022

Machine Learning

Assess candidates' skills in machine learning, evaluating their ability to develop and implement algorithms, analyze data, and leverage models to solve complex problems and drive insights for informed decision-making.

Score

93/100

Time Taken

30 Mins

Taken On

October, 2022

Personality Test

DI: Convincing and daring

DI

Taken On

March, 2017

Read more about DI

Experience

Senior Staff ML Engineer

Course Hero

August 2020 - Present

Leveraged Semantic Search & Large Language Models (GPTs, BERT, SentBERT) for Question Answering and Explanation Generation.
Worked on Recommender Systems for Content Recommendations on Users' Homepage.
Handled Document Demand Forecasting using Regression, ALS, and RF techniques.

Lead ML Engineer

Salesforce

August 2019 - August 2020

Developed Recommender Systems (LSA & Factorization Machines) for visualizations & dashboards utilizing users' behavior and content metadata.

Senior ML Engineer

Tableau Software

June 2018 - August 2019

Shipped the first Recommender System (ALS & Popularity) for Tableau WebApp on User Homepage, suggesting visualizations & dashboards to users.

ML Engineer

PlentyOfFish Media ULC.

2017 - 2018

Shipped a sequence-based ML model (Bayesian based) for Fraudulent Accounts detection with precision > 99.9%.

CTO

Qudos Inc.

2015 - 2017

Led an ML/NLP team in scraping, parsing, and tagging unstructured web data to create a large B2B graph and search index.
The Search system recommended B2B vendors to a client based on their requirements (e.g., services, clients, location).

Co-Founder

A.I. Optify

2014 - 2015

Shipped a Real-Time-Bidder powered by ML (LR & GBDT) to compute optimal bids for optimizing ad conversion when buying mobile traffic at a large scale.

Chief Data Scientist

Trulioo

2013 - 2014

Shipped ML-based Identity Verification systems by modeling large FB/Twitter/G+ Graphs & users' data (1.2 Billion accounts).

ML / Data Science Advisor

Red Brick Media

2012 - 2014

Designed & implemented Reinforcement Learning systems (Multi-Armed Bandit) to explore and exploit the best ads for a large number of web advertising campaigns.

NLP Engineer

Seeker Solutions

January 2013 - September 2013

Implemented and customized LDA for clustering medical documents.
Shipped and benchmarked a medical NER Tagger system using HMM & CRF to detect Disease & Treatment entities.

Research Assistant

University of Victoria

2007 - 2012

Designed unsupervised/supervised ML models to predict the unobserved parts of mobile contact graphs when only partial observations were available.
Conducted theoretical work on information spreading algorithms in social graphs.

Software Engineer

Proven.com

March 2011 - September 2011

Shipped a Facebook app for connecting less served job seekers to potential employers.

Research Assistant

Sharif University of Technology

2004 - 2006

Designed, coded, & launched an MPI-powered Linux Cluster of 17 nodes to crack 330-bit RSA keys in 24 hours.

Software Engineer

Afranet

2003 - 2005

Designed, coded, & launched a large Linux Web Server Cluster that served more than 1 Million visitors per day on Sanjesh/Azmoon websites using Linux, Apache, MySQL, & PHP.

Education

University of Victoria

PhD, Computer Science

2007 - 2012

Sharif University of Technology

Master of Science, Computer Engineering

2003 - 2005

Sharif University of Technology

Bachelor's Degree, Electrical Engineering

1998 - 2001

Languages

EN

English

Full professional proficiency

FA

Persian

Native or bilingual proficiency

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