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Senior Machine Learning Engineer
I am a Machine Learning specialist with extensive expertise in signal, image, and natural language processing. My career spans significant contributions in developing advanced algorithms and frameworks across diverse domains including medical image analysis, text mining, and video content optimization. With a robust background that includes roles at Thoughtexchange, BroadbandTV, and collaborative projects with institutions like Philips and NIH, I have led teams and driven research in applying cutting-edge technologies. I am passionate about leveraging my skills in developing innovative software systems tailored for signal, image, and NLP applications. I am eager to join an organization that fosters growth and innovation in these fields. ► Skills - Programming Fundamentals: Data Structure, Algorithm Design, Object-Oriented Programming, Scrum-Based Agile Development. - Programming Languages: Python, C/C++, SQL, Lua, Assembly. - Tools & Platforms: Keras, TensorFlow, Torch, Redis, OpenCL, OpenCV, NLTK, Scikit-Learn, MATLAB, Simulink, Multiprocessing, Threading. - Machine Learning Approaches: Clustering, Principal component analysis (PCA), Independent Component Analysis (ICA), joint Independent Component Analysis (jICA), t-distributed Stochastic Neighbor Embedding (t-SNE), Recursive Feature Elimination (RFE), Support Vector Machine (SVM), Random Forest, Multilayer Perceptron (MLP), Deep Belief Network (DBN), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), None-negative Matrix Factorization (NMF), Word2Vec, Global Vectors for Word Representation (GloVe), Transformer-based models including Bidirectional Encoder Representations from Transformers (BERT), DISTILBERT, T5, GPT-3 and GPT-4, Anthropic Claude, Fine-tuning, RAG, LlamaIndex. Thanks for viewing my profile. Please scroll down
Queen's University
Doctor of Philosophy (PhD), Electrical Engineering
January 1, 2009 – January 1, 2014
Iran University of Science and Technology
Master of Science (MSc), Electrical Engineering (Bio-Electrics)
January 1, 2001 – January 1, 2004
Iran University of Science and Technology
Bachelor of Applied Science (B.A.Sc.), Electrical and Electronics Engineering
January 1, 1996 – January 1, 2001
Remitly
Senior Machine Learning Engineer
May 1, 2026 – Present
ThoughtExchange
Sr. Staff Applied ML Scientist/Team Lead
November 1, 2017 – May 1, 2026
Greater Vancouver Metropolitan Area
BroadbandTV (BBTV)
Research Engineer
June 1, 2016 – September 1, 2017
Vancouver, Canada Area
The University of British Columbia
Signal Processing & Machine Learning Research Associate – Postdoctoral Fellow
September 1, 2014 – June 1, 2016
Vancouver, BC, Canada
Queen's University
Medical Imaging & Machine Learning Research Associate
September 1, 2009 – July 1, 2014
Kingston, ON, Canada
TAM Iran khodro
Control Systems Engineer
March 1, 2007 – August 1, 2009
Iran
Abdal Industrial Projects Management Co. (MAPSA)
Research & Development (R&D) Engineer – Controls & Instrumentation Systems
March 1, 2006 – March 1, 2007
Iran
Iran University of Science and Technology
Biomedical Engineering Research Associate
October 1, 2004 – April 1, 2006
Iran
Cultural Fit Analysis
The candidate's extensive experience in research and development, coupled with leadership roles in ML, indicates a strong drive for innovation and problem-solving. The diverse project portfolio, from medical imaging to optimizing YouTube content and leading ML initiatives for a software company, suggests adaptability and a broad interest in applying technical skills across different domains. However, the target role is 'Data Analyst', which is a significant shift from 'Senior Machine Learning Engineer' and 'Sr. Staff Applied ML Scientist/Team Lead'. While the analytical skills are transferable, the depth of ML/NLP expertise might be overqualified or misaligned with typical Data Analyst responsibilities, potentially leading to a mismatch in expectations or a desire for more advanced ML-focused work. The candidate's career trajectory has been heavily focused on advanced ML/NLP, which might not align with the day-to-day tasks of a pure Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience as a Sr. Staff Applied ML Scientist/Team Lead at ThoughtExchange demonstrates leadership, project management, and collaboration skills. The detailed descriptions of achievements, such as leading the ML team and contributing to the R&D roadmap, suggest strong operational fit for roles requiring initiative and strategic input. The academic background and research roles also imply strong problem-solving and independent work capabilities.