ayush raj tiwary
@ayushrajtiwary
I build production AI, LLM, and full-stack applications with measurable outcomes.
What I'm looking for
I've deployed production AI and full-stack projects spanning MRI tumor detection, multilingual LLM assistants, and gesture-driven interfaces. My MRI Brain Tumor Detection system achieved 94% multi-class classification accuracy on 4,000+ scans with sub-300ms FastAPI inference.
I built Zara, a Groq-powered RAG dining assistant that handles restaurant menu questions and self-ordering in English, Hinglish, and Telugu without staff intervention. Using Next.js, Node.js, PostgreSQL, ChromaDB, and Docker, I also delivered real-time order tracking and daily revenue analytics.
I've also built MERN-based safety platforms and GenAI conversational assistants through national-level hackathons, bringing together AI/ML, computer vision, and end-to-end product development.
Experience
Work history, roles, and key accomplishments
LLM Applications Developer
Self Employed
Developed LLM-powered applications, including a RAG-based assistant for multilingual restaurant orders, using Groq API and ChromaDB.
AI/ML Engineer
Self Employed
Developed and deployed production projects in computer vision, LLM applications, and MERN development, achieving high accuracy and performance.
Education
Degrees, certifications, and relevant coursework
Jharkhand Rai University
Bachelor of Technology, Computer Science Engineering
2023 -
Grade: 7.3 CGPA
Pursuing a Bachelor of Technology in Computer Science Engineering with a specialization in AI/ML, maintaining a CGPA of 7.3 up to the 5th semester.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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