Software Engineer, Machine Learning And Generative AI
Amherst, Massachusetts, United States
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Summary
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Senior
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Top School
Sahil Gupta is a machine learning and Generative AI-focused software engineer with a decade of hands-on experience building production ML systems and research-grade LLM solutions while pursuing a MS in Computer Science at UMass Amherst. He has led teams to deploy end-to-end AI pipelines—improving retrieval precision, slashing analyst workload by 80%, and grounding model outputs to raise system accuracy from 72% to 89%—and built multilingual OCR and low-latency query stacks processing 10K+ contracts. On the research side he co-authored a KDD-AIDSH 2024 oral paper on hallucination detection for clinical summarization and developed abstention-aware medical LLMs that reduce unsafe outputs while cutting inference latency by 60% through model-parallel techniques. Comfortable across computer vision, NLP and full-stack production engineering, he combines practical product delivery with rigorous evaluation of LLM behavior, making him adept at turning research insights into reliable, auditable AI features.
10 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts Amherst
Contributions:28 pushes, 1 branch in 2 years 11 months
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Sahil Gupta - Software Engineer, Machine Learning And Generative AI