About Me

Prakash is a Software Engineer with a Mechatronics background, who thrives at the intersection of Computer Vision, Python, and robust software practices like rigorous testing and code reviews.

With 2+ years of experience building large‑scale backend and ML‑driven systems — including Alexa Communications at Amazon — he has a proven track record of improving reliability, security, and user retention through data‑driven, performance‑focused development. With nearly eight years of experience coding in Python and C++, he specializes in distributed backend services, computer vision, and performance‑critical systems that bring research into production.

Previously, he contributed to Alexa’s Incoming Call Blocking system (reducing monthly churn by 10%) and developed a malware‑scanning pipeline for the Alexa LLM architecture. At Bigthinx, he cut image‑processing latency by 60% through process‑based parallelism and optimized C++ detectors on edge devices. He is also an active open‑source contributor to Keras, where his implementation of keras.utils.split_dataset shipped to thousands of developers. Beyond that, he maintains several automation, CLI, and ML tooling projects on GitHub.

Prakash holds a BE in Mechatronics Engineering (Robotics & Automation) from Sri Krishna College of Engineering and Technology(skcet) and enjoys working at the intersection of software engineering, control theory, and automation — where code meets real‑world systems.