AI Engineer II · AI Agents · Multimodal AI · AI Safety · AI Security ·Trustworthy AI

I am Fatema Tuj Johora Faria, currently working as an AI Engineer II at Astha.IT. I build Agentic AI applications for internal automation and client-facing use cases, with a focus on LLM Agents, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP). My work spans the full AI application lifecycle, from solution design and development to deployment.

Previously, I worked as a Senior Application Developer at Dexian (Bangladesh) Limited, where I developed Generative AI solutions based on client and stakeholder requirements. I collaborated with cross-functional teams to translate business requirements into scalable software solutions and contributed through code reviews, technical guidance, and knowledge-sharing with junior developers.

I have hands-on experience with AWS, Google Cloud Platform (GCP), and Microsoft Azure for AI application deployment, cloud infrastructure, and production environments.

I earned my Bachelor's degree in Computer Science and Engineering from Ahsanullah University of Science and Technology.

I am interested in developing AI systems that can reason reliably, operate autonomously, and remain safe and dependable in real-world environments.

• LLM Reasoning: Exploring how large language models can achieve reliable, structured, and multi-step reasoning for tackling challenging real-world scenarios.
• AI Agents: Examining how AI agents can plan, use tools, collaborate, and adapt to orchestrate complex tasks in dynamic environments.
• Multimodal AI: Investigating how multimodal models can integrate and reason across diverse modalities (text + images) to improve contextual understanding and decision-making.

• AI Safety: Developing AI systems that remain safe, robust, and controllable under uncertainty, unexpected inputs, and real-world conditions.
• AI Security: Defending language models and AI agents against adversarial attacks, prompt injection, and malicious inputs.
• Trustworthy AI: Advancing AI systems that promote fairness, explainability, and reliability across diverse environments.

• Vision-Language Models for Social Good: Developing reliable AI systems for visual understanding, object detection, image segmentation, and visual grounding to address practical societal challenges.
• AI for Databases: Building AI systems that translate natural language into SQL, reason over database schemas, and enable more intuitive access to structured data across diverse use cases.

"The future of AI is not about creating machines that think like humans, but about building systems that learn from data and improve over time." — Geoffrey Hinton

I am always excited to collaborate, exchange ideas, and explore new research directions. I welcome opportunities for research collaborations, technical discussions, and interesting conversations in Artificial Intelligence.

📧 Feel free to reach out:

• Personal: fatema.faria142@gmail.com
• Official: ftj.faria@asthait.com