Data Scientist with over three years of research and industry experience, focusing on Natural Language Processing (NLP), Anomaly Detection, and Transfer Learning.• Developed and deployed machine learning solutions across the full lifecycle, from data ingestion and transformation to inference, using both classical and deep learning methods.• Presented complex analytical results to various stakeholders, helping to enhance strategic decisions in both industrial and academic environments.• Skilled in data analysis, cleaning, and visualization using tools like Pandas, Scikit-learn, Jupyter Notebooks, Numpy, and Scipy.• Earned an MSc in Computer Engineering, specializing in ML, NLP, and Information Retrieval from Amirkabir University of Technology. • Published research in prestigious forums like the International Conference on Software Engineering (ICSE).Technical skills:- Deep Learning: PyTorch, TensorFlow, Keras- Language Models: Extensive experience in fine-tuning and prompt engineering- Hardware Acceleration: Proficient in using CUDA for performance optimization- Version Control: git CLI
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Data ScientistHec MontréalSt. Catharines, On, Ca -
Machine Learning EngineerLingup Jul 2024 - PresentOntario, Canada -
Data ScientistGoodman School Of Business At Brock University Jun 2024 - PresentOntario, Canada -
Monarch Project SupportNiagara Health Oct 2024 - Jan 2025St. Catharines, Ontario, Canada -
Machine Learning ResearcherBrock University Jan 2023 - Mar 2024Ontario, Canada• Developed a novel language model-based method for Linux kernel tracing, funded by Ciena, minimizing storage and processing overhead by adapting tracer settings based on real-time system behavior analysis. • Optimized an ML pipeline that extracts, cleans, and preprocesses trace data, achieving 800 requests/second throughput on a multi-GPU setup.• Validated the method by collecting and analyzing data from a web server processing over 2 million requests. • Achieved a 70% reduction in tracing overhead while maintaining 96% accuracy by targeted data collection. • Employed a customized vectorization technique to classify abnormal web requests into 7 categories with 99% accuracy, streamlining automated anomaly detection and root-cause analysis. • Authored a paper on our system monitoring approach, accepted at the prestigious ICSE.• Implemented advanced data visualizations for another comprehensive paper currently under review, enhancing data interpretation and supporting analytical insights. -
Machine Learning EngineerFanap Jun 2022 - Jan 2023Tehran, Tehran Province, Iran• Played a key role in the development of a chatbot system prototype.• Enhanced and optimized intent detection and named-entity recognition (NER) modules by fine-tuning transformers like BERT, improving functionality by up to 15% and cutting response latency by 50%.• Implemented sentiment analysis algorithms for the demonstration of customer conversation analysis, effectively identifying satisfaction levels and pinpointing unresolved issues with 90% accuracy. • Designed and integrated a scalable information retrieval system and question-answering mechanism into the prototype. • Curated specialized datasets through web scraping from 50+ sources for initial model training and evaluation. -
Graduate Research AssistantAmirkabir University Of Technology - Tehran Polytechnic Nov 2020 - Dec 2022Tehran, Tehran Province, Iran• Managed quality assurance process and conducted detailed data analysis for the first crowdsourced Reading Comprehension dataset in Persian with 80,000 questions, ensuring data integrity and uncovering key insights. • Documented the study’s methodology, leading to a publication in the Computer Speech & Language journal . • Introduced an innovative multi-task model to enhance question answering systems for low-resource languages, specifically increasing the detection accuracy of unanswerable questions from 92% to 94%. -
Graduate Teaching AssistantAmirkabir University Of Technology - Tehran Polytechnic Feb 2022 - Jun 2022Tehran, Tehran Province, IranCourses:- Information Retrieval (Graduate) - Winter 2022 -
Teaching AssistantAmirkabir University Of Technology - Tehran Polytechnic Sep 2018 - Jun 2019Tehran, Tehran Province, IranCourses:- Multicore Programming - Winter 2019- Computer-Aided Digital System Design - Winter 2019- Digital Electronics - Fall 2018 -
Research InternInstitute For Research In Fundamental Sciences (Ipm) Jun 2018 - Sep 2018Tehran, Tehran Province, Iran
Kasra Darvishi Education Details
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Computer Engineering -
Computer Engineering
Frequently Asked Questions about Kasra Darvishi
What company does Kasra Darvishi work for?
Kasra Darvishi works for Hec Montréal
What is Kasra Darvishi's role at the current company?
Kasra Darvishi's current role is Data Scientist.
What schools did Kasra Darvishi attend?
Kasra Darvishi attended Amirkabir University Of Technology - Tehran Polytechnic, Amirkabir University Of Technology - Tehran Polytechnic.
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