Vishal Burman is a Senior Data Scientist with 8 years of hands-on AI experience specializing in NLP, transformers, and production-grade retrieval systems. At Insyncai he pioneered transformer-based question-generation architectures and built custom embedding models that improved domain retrieval precision by 30%, while optimizing inference with ONNX and quantization for up to 25% faster runtimes. He has a track record of moving research into production—designing high-performance retrieval pipelines, paraphrase generation systems, and robust data-augmentation strategies that measurably boost model robustness. Comfortable across the ML lifecycle, he blends deep research knowledge (T5, GPT, BERT, LLMs) with engineering skills in PyTorch, FastAPI, Docker, and cloud deployment. Based in Bengaluru, he earned his CS foundation at SRM and an MS from Colorado Boulder, and prefers earning expertise through sustained, practical work rather than short online certificates. A concise hint of his focus: his GitHub bio “Working with Attention :)” reflects a practitioner mindset centered on attention-based models and applied NLP innovation.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, First Class with Distinction, Bachelor of Technology - BTech, Computer Science, First Class with Distinction at SRM University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Colorado Boulder
Contributions:2 PRs, 32 pushes, 1 branch in 1 year 8 months
mxnetneural-networksmxnet-neural-network
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