For Researchers
I'm a computer science student interested in collaborating on research in natural language processing and large language models. I bring production experience and strong software engineering skills.
Areas of Interest
Exploring how machines understand and generate human language, with focus on practical applications and real-world deployment challenges.
Interested in LLM behavior, prompting strategies, hybrid architectures, and bridging the gap between research and production systems.
Personal experience building Typersian (Finglish → Persian) sparked interest in multilingual systems, transliteration, and low-resource languages.
My Background
2+ years building real-world AI systems. I've deployed hybrid NLP pipelines with 30+ intents, integrated OpenAI fallback systems, and handled production-scale conversational AI.
Solid software engineering skills: Python, system design, database architecture, API development. I can implement research ideas and build the infrastructure to test them at scale.
2+ years as a freelancer taught me to work with remote teams. I communicate proactively and deliver results.
Experience with actual business problems helps me think about practical applications, deployment constraints, and what actually matters in production systems.
Collaboration
I'm early in my research journey with no prior publications. I'm looking for opportunities to learn, contribute meaningfully, and build a research track record.
Academic Background
B.Sc. Computer Science (in progress) at Islamic Azad University, Central Tehran Branch (GPA: 17.8/20). Previously studied mechanical engineering for 1.5 years before switching to follow my passion for software and AI.
Why the switch? I realized I was built for software, not mechanical engineering. The ability to think of something and make it real through code felt like magic. That feeling hasn't gone away.
While I don't have prior research publications, I bring 2+ years of real-world AI engineering. I've built production systems that use NLP and LLMs to solve actual business problems: conversational booking agents, multilingual chat interfaces, and intelligent automation.
My work on Typersian (system-wide Finglish → Persian converter) gave me hands-on experience with multilingual NLP challenges, transliteration, and building developer tools used by real poeple.
I'm most interested in research that bridges theory and practice: projects where software engineering skills are valuable, and where the work has potential for real-world impact.
I'd love to hear from you. Let's talk about what we could explore together.