I build the systems that run in the background so people don't have to.

Sohag Gain is a Dhaka-based AI Automation Engineer and AI Agent Developer. As founder of AI Smart Galaxy, he has delivered 100+ projects for 25+ clients across CRM, AI agents, AI-enabled applications, and workflow automation. His work also spans AI Engineering and AI Solutions Architecture.
BSc in Computer Science & Engineering from Jamalpur Science & Technology University (CGPA 3.55/4.00). His thesis benchmarks machine learning and transformer architectures for Bangla–English news classification.
That grounding is why my automation work isn't just drag-and-drop — I understand what's happening under the workflow builder.
My BSc thesis evaluates classical machine learning, BiLSTM, BERT, and a hybrid LSTM+BERT approach across 562,163 Bangla and English news articles. Under the same evaluation pipeline, BERT reached 92.95% accuracy for Bangla and 94.50% for English classification.
Thesis: Benchmarking Classical Machine Learning and Transformer Architectures for Bangla–English News Classification: A Large-Scale Unified Evaluation with Morphological Complexity Analysis. The work compares Logistic Regression, Naive Bayes, SVM, Random Forest, XGBoost, BiLSTM, BERT, and LSTM+BERT with an 80/10/10 stratified split. It also shows when a TF-IDF + SVM baseline can be a practical choice for lower-resource deployments.
Founder & CEO of AI Smart Galaxy — automation systems and AI agents for clients across the US, UK, UAE, and Bangladesh.
Public GitHub portfolio of working builds — I show a system running, not just describe it.
I don't automate tasks. I redesign systems.
Trigger → decision → action → human-readable log.
Capture the trigger → let an AI agent or workflow decide → take the action → log it where a human can check. Simple, auditable, and built to run without me.
Building deeper skills in RAG, multi-agent systems, cloud deployment, and voice AI.
Vector databases and RAG architecture, multi-agent frameworks like LangGraph and CrewAI, cloud deployment (Docker, Linux, VPS), and AI voice/video tooling. Not claiming mastery of all of it yet — just showing the direction I'm building toward.
See what I've actually built, or grab a copy of my resume.