Swechha Singh
Senior Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolSwechha Singh is a Senior Data Scientist and machine learning engineer with a decade of industry experience and a focused two-year track record building end-to-end ML systems for high-dimensional genomics (scRNA-seq). She has applied generative models (VAE, VAE-GAN), autoregressive RNNs for real-valued sequences, transformer language models, and CNN transfer learning across domains from genomics to EdTech and ESG financial applications. At Sibli she’s leading LLM-driven GenAI for responsible investment and previously developed core ML research and production models at Phenomic, Korbit AI, and SeekShift. Her background spans both research-grade modeling and practical engineering—ranging from contextual spelling correction and recommendation systems to backend services and an Android geospatial app—reflecting strong full-stack ML instincts. Trained at Université de Montréal and IIT Kanpur, she blends academic rigor with product-first deployment experience. Outside standard pipelines she’s explored creative demos like a handwriting-mimic app, signaling a curiosity for playful, applied ML.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Université de MontréalIndian Institute of Technology Kanpur
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (3)
lstm10
recurrent-neural-networks10
deep-learning1
Programming languages (2)
Github contributions (5)
swechhasingh/Handwriting-synthesis
Apr 2019 - Dec 2020
Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850
Contributions:148 commits, 8 PRs, 158 pushes in 1 year 7 months
recurrent-neural-networkstext-to-realistic-handwritingrnnhandwriting-generationhandwriting-synthesis
swechhasingh/Deep-Learning
May 2017 - Aug 2019
Deep learning paper implementations
Contributions:14 PRs, 39 pushes, 2 branches in 2 years 3 months
deep-learning
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