Summary
Harshitha Sudhakar is an AI-focused software engineer with three years of experience building end-to-end intelligent systems spanning deep learning, computer vision, and distributed event-driven architectures. She has practical defense and real-time systems experience—designing FFT-based RF signal detection pipelines and classifiers for SIGINT—alongside open-source impact as an Apache EventMesh committer and contributor to NumFOCUS’s Aeon-Toolkit. Comfortable moving research into production, she has optimized preprocessing pipelines, implemented GAN-based environmental detection work, and contributed to large-scale, serverless event platforms. Based in Chennai and a senior at VIT, she combines hands-on model engineering with systems-level thinking and an appetite for cross-community collaboration that often surfaces in surprising infrastructure improvements.
3 years of coding experience
Bachelors in Technology in Computer Science Engineering With Specialization in AI & ML, Bachelors in Technology in Computer Science Engineering With Specialization in AI & ML at Vellore Institute of Technology
BVM Global Bollineni Hillside
High School Diploma, Computer Science, High School Diploma, Computer Science at St.John's High School - India