Pranav Badhe
Senior Software Engineer at SoFi
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolPranav Badhe is a Senior Software Engineer based in Seattle with 7 years of experience building distributed systems, data-migration tools, and next-generation banking infrastructure using Java, Spring Boot, microservices, Kubernetes, and GCP. He combines production-grade backend engineering with research-grade ML/HPC expertise—publishing a paper on PyTorch-based GNN tooling and benchmarking large-scale graph training on HPC clusters. Pranav has a track record of performance-driven refactors (35% API speedup) and large-scale migrations (2M rows migrated under 5 minutes), plus hands-on DevOps ownership that cut downtime and optimized CI/CD. He also won a national award for a Dockerized bioinformatics tool used by researchers and taught Linux/OS and networking workshops to over 500 attendees, showing both technical depth and community impact. Comfortable moving between enterprise systems and open-source ML work, he brings an adaptive, results-focused approach summarized by his GitHub tagline: "Be like water."
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Indiana University BloomingtonBachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at Savitribai Phule Pune UniversityBachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at Maharashtra Institute of Technology
Github Skills (15)
prompt-engineering10
openai10
anthropic10
gateway10
llmops10
langchain10
datasets10
llm9
azure-openai9
haystack9
vertex9
telemetry9
vertex-ai9
opentelemetry7
vercel4
Programming languages (2)
Github contributions (5)
pbadhe/Public-Grievance-Redressal-System
Oct 2018 - Sep 2021
Contributions:12 commits, 10 pushes in 2 years 11 months
pbadhe/phoenix
May 2023 - Jul 2024
ML Observability in a Notebook - Uncover Insights, Surface Problems, Monitor, and Fine Tune your Generative LLM, CV and Tabular Models
Contributions:75 pushes, 27 branches in 1 year 2 months
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