Swechha 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 Montréal
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