I work as a Data Scientist and AI Engineer. My passion lies in solving complex, real-world problems through the intelligent use of data and machine learning. I specialize in building end-to-end AI pipelines — from data preprocessing and model training to deployment and integration into production systems.
Currently, I am working as a Full Stack AI Engineer Intern at Devsil, where I develop production-ready AI systems and intelligent automation tools. Over 7 months, I have contributed to a wide range of real projects spanning Computer Vision, LLM integration, RAG pipelines, and FastAPI-powered backends.
I am particularly focused on the frontier of Generative AI, working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. My goal is to bridge the gap between cutting-edge AI research and practical, measurable business value.
My Mission: To build robust, production-ready AI systems that automate intelligent workflows and generate real business impact — without overfitting, without shortcuts.
My Vision: To be at the forefront of the Agentic AI revolution, architecting multi-agent systems that empower humans by handling complex computational tasks autonomously.
What I Do
My Expertise
Machine Learning
Training robust, highly-accurate AI models avoiding overfitting issues.
Generative AI
Developing custom LLM solutions and intelligent conversation agents.
RAG Systems
Building context-aware Retrieval-Augmented Generation pipelines.
Computer Vision
Implementing real-time object detection and facial recognition.
Data Science
Extracting actionable business insights from complex raw data.
NLP
Extracting meaning and sentiment from unstructured text data.
AI Agents
Architecting multi-agent systems that autonomously solve tasks.
FastAPI Dev
Deploying machine learning models via high-performance REST APIs.