I build backend systems, enterprise applications, and production AI infrastructure. I care about correctness, operational reliability, and architecture that stays maintainable. My work spans government-scale Jakarta EE systems, distributed ML pipelines, and low-resource NLP research, including three workshop papers co-located with EMNLP, NAACL, and IJCNLP-AACL.

What I Do

At Dynamic Solution Innovators, I build large-scale enterprise systems for government clients (NBR, MoCAT, BCIC, EC) using Spring Boot and Jakarta EE, working on backend architecture, workflow systems, and operational tooling. I defined the security model and CDI/EJB conventions for DSI’s first large-scale Jakarta EE system, contributed to PrimeFaces open-source, and open-sourced gf, a GlassFish workflow CLI that cut redeploy latency from ~2 minutes to ~5 seconds. On EC-BVRS, Bangladesh’s national voter registration platform, I work on the data pipeline behind a registration flow that processes records for nearly 150 million voters.

At Altri.ai, I build AI-assisted real estate analysis systems that combine LLM enrichment, traditional ML valuation models, and large-scale property ingestion pipelines. My work centers on asynchronous processing, distributed job coordination, and production ML workflows, including a bounded-concurrency enrichment pipeline that raised throughput by ~10×.

In research, I work on AI agents for site reliability engineering and on NLP for low-resource languages. Right now that means contributing to SREGym, an open-source benchmark from UIUC for evaluating AI agents on real-world system failures, where I am working toward the SREGym v2 paper.

As an instructor, I teach Enterprise Web Development with JEE, JSF, and PrimeFaces at Dynamic Learning, turning production engineering patterns into practical coursework.

🎓 Education

B.Sc. in Computer Science & Engineering, Shahjalal University of Science and Technology (SUST)
CGPA: 3.53/4.00 (Last two years: 3.83)

🔬 Research & Engineering Interests

• AI for SRE & Software Engineering: benchmarks and evaluation for AI agents that operate real systems, fault injection, and agent behavior analysis
• Low-Resource NLP: code generation and text classification for Bangla and other low-resource languages
• AI Infrastructure & Retrieval Systems: LLM enrichment pipelines, RAG systems, and production ML workflows
• Backend & Distributed Systems: enterprise application architecture, workflow engines, observability, and operational tooling

Beyond Work

🏆 Sports

I play football in my free time to stay active and competitive.

📸 Photography

I’m passionate about nature photography: landscapes and everyday moments.

📷 View My Photos