Abhishek Murthy is a Founding AI Engineer based in New York with nine years of hands-on experience building low-latency, production-grade AI systems for finance and consumer products. He specializes in converting complex unstructured documents into spreadsheet-ready tables and visualizations via OCR+LLM pipelines, RAGs, and graph-based knowledge bases, and led development of an Excel Add-In to embed those workflows directly into analysts’ tooling. His background spans distributed systems, microservices, and full-stack infrastructure—Python, TypeScript, React/Next.js, Kubernetes, SQL—and he has repeatedly improved performance and latency across high-throughput platforms. A Duke MEng in AI and multiple hackathon winner, he combines research-driven model work with pragmatic engineering (e.g., deploying Spotify Backstage, event-driven microservices, and scalable ETL at Blinkit). He co-founded a live-event platform that optimized deployment efficiency and latency with Docker, gRPC, and Redis, showing both product instincts and operational rigor.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Artificial Intelligence, Master of Engineering - MEng, Artificial Intelligence at Duke University
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Visvesvaraya Technological University
2nd PU, Computer Science, 2nd PU, Computer Science at JAIN College
1-10th Std, ICSE, 1-10th Std, ICSE at Carmel School
Low code web framework for real world applications, in Python and Javascript
Contributions:2 PRs, 37 pushes, 1 branch in 19 days
pythonjavascriptlow-codeframeworkframeworks
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