Chak Koppula is a Machine Learning Engineer with nine years of experience building practical ML solutions in industry, currently applying his skills at Roke. He is proficient in Python and Java and has a track record of delivering high‑accuracy computer vision and NLP systems—ranging from >90% elephant detection models for anti‑poaching UAVs to ~95% sentiment classifiers for NHS patient feedback. Comfortable leading small teams, Chak combines technical delivery with strong communication and teaching abilities that help turn disparate contributors into cohesive, productive groups. His background includes hands‑on cloud deployments and tooling using Azure, TensorFlow, OpenCV and Flask, and he brings an engineer’s attention to reproducibility and simulation (e.g., camera trap simulator) when developing ML products. Based in Chandler’s Ford, UK, he pairs a First Class Computer Science degree from UCL with practical experience translating research ideas into operational systems.
9 years of coding experience
2 years of employment as a software developer
A-Levels: Maths - A*, Biology - A*, Chemistry - A*, A-Levels: Maths - A*, Biology - A*, Chemistry - A* at Peter Symonds College
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