Harsh Vashistha is a Senior Machine Learning Engineer with 10 years of experience architecting AI systems that bridge research innovations and enterprise-scale observability platforms. Based in San Francisco, he has led development of autonomous AI SREs and an AI assistant platform for observability, shipping closed-beta enterprise deployments and measurable improvements in root-cause analysis. His background in distributed systems and observability informs work across synthetic data generation, LLM fine-tuning pipelines (DeepSpeed on Ray/Anyscale), and evaluation frameworks that make assistants reliable in production. Earlier roles span full-stack engineering and performance-driven analytics, giving him practical fluency from UI micro-frontends to multi-node model training. He holds an MS in Computer Science from UMBC and a patent-backed contribution to guided content discovery, reflecting both research rigor and product impact. Notably, he combines system-level thinking with hands-on implementation—teaching AI systems to move from monitoring to autonomous problem solving.
10 years of coding experience
10 years of employment as a software developer
UMBC
Savitribai Phule Pune University
High School Physics Chemistry Mathematics and Computer Science, High School Physics Chemistry Mathematics and Computer Science at Delhi Public School - Navi Mumbai
Contributions:7 commits, 6 pushes, 1 branch in 2 days
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