Ayush Zenith is an AI researcher and software engineer with eight years of experience building practical ML systems across robotics, synthetic data, and drug-discovery informatics. Currently at Tera AI, he develops foundational models and 3D perception capabilities for robotic applications, having previously run manipulation and navigation experiments on Boston Dynamics Spot and produced SOTA dataset-quality metrics for synthetic object-detection data at AFRL. He’s shipped production-facing systems from multimodal semantic search and transformer fine-tuning at Genentech to an Algorand NFT marketplace and serverless backends, demonstrating both research depth and product delivery. Comfortable moving between research and engineering, Ayush blends simulation-driven dataset creation, real-world robot integration, and scalable cloud architectures. A Northeastern CS graduate (Cum Laude), he’s known for turning experimental ideas into working systems—sometimes by making robots open doors and climb stairs to prove a concept.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science in Computer Science - BSCS, Computer Science, Cum Laude, Bachelor of Science in Computer Science - BSCS, Computer Science, Cum Laude at Northeastern University
English, Kannada, Tulu, Hindi, Malayalam
Github Skills (52)
langchain9
wordcloud9
chatgpt9
qt9
git9
github9
python9
llm9
gauge9
typescript9
generative-ai9
ai9
gemini9
openai9
anthropic9
Programming languages (8)
TypeScriptC++CoffeeScriptCSSHTMLRubyRich Text FormatPython
Contributions:2 commits, 2 pushes in 1 year 1 month
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