Summary
Ikramul Kayes is a Backend and AI Engineer with five years of full-stack and ML-focused experience, currently building AI-native products and leading client projects at AI Buddy Catalyst Labs. He designs production-grade RAG pipelines and open-sourced insta_rag (500+ stars), demonstrating both community impact and practical expertise in LLM integration, vector DBs, and retrieval optimization. As a freelancer he has shipped end-to-end systems—from web scrapers and EdTech backends to CI/CD on Azure—using Node.js, FastAPI, Svelte/React, Docker and Kubernetes. He also has hands-on ML experience with TensorFlow, PyTorch and computer vision, plus published NLP research on low-resource languages (AACL 2025). A hackathon finalist and NASA Space Apps runner-up, he blends product thinking with technical depth and enjoys turning ambiguous AI problems into usable, scalable solutions.
4 years of coding experience
1 year of employment as a software developer
H.S.C, Science, 5.00, H.S.C, Science, 5.00 at Bangladesh Navy School & College, Dhaka
Bachelor's degree, Computer Engineering, 3.93, Bachelor's degree, Computer Engineering, 3.93 at BRAC University