Devansh Mody is a Senior Data Scientist based in Toronto with nine years of experience building production-grade ML and data systems across media, finance, and telecom. He designs robust ETL and streaming pipelines, microservices, and queuing architectures (AWS Lambda, SQS, Redis, Kafka) while applying LLMs, generative AI, and deep learning to real-time content analysis, fraud detection, and influencer marketing products. His background includes quantitative finance tooling for volatility and dispersion analysis, large-scale web and media scraping, and practical chatbot and speech-to-text solutions deployed at scale. Comfortable bridging research and engineering, he frequently leads proof-of-concepts that turn novel models into operational services, and has hands-on experience integrating blockchain and cybersecurity considerations into data products. A detail that sets him apart: he has built end-to-end systems that combine media scraping, IP/MAC masking, and Redis streams for resilient, large-volume data ingestion used in content moderation and analytics.
9 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Lakehead University
ssc ssc, ssc ssc at fellowship high school
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Shah And Anchor Kutchhi Engineering College
diploma in computer science Computer Science, diploma in computer science Computer Science at Shri Bhagubhai Mafatlal Polytechnic
Contributions:29 pushes, 1 branch in 3 years 3 months
nlpchatbotsbotchatbotnatural-language-processing
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