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Abu Darda

@abudarda

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AI Engineer at Brain Station 23 who developed multimodal filmmaking AI and reduced retrieval pipeline latency by 40%.

United States

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At Brain Station 23, I developed a multimodal AI agent for video analysis and generation for a filmmaking copilot, and fine-tuned Flux image models with LoRA adapters to keep scenes and characters consistent.

I designed and deployed LangGraph workflows for dynamic data retrieval, reducing system latency by 40%. I also developed customizable chatbots with LangChain and FastAPI, and built a document classification system that achieved 95% accuracy.

My projects include Nikles, an autonomous-agent RAG chatbot using LangChain and Pinecone, and SyllabusSync, which parses course syllabi and connects schedules with the Google Calendar API. I’m pursuing an MS in Generative AI at CUNY School of Professional Studies.

Experience

Work history, roles, and key accomplishments

Software Engineer - AI

Brain Station 23

Feb 2024 - Feb 2025 (1 year)

Developed a multimodal AI agent for video analysis and generation using Node.js and AWS serverless services. Fine-tuned Flux image generation models and trained LoRA adapters for scene and character consistency.

NodeJS AWS LangGraph Lang Chain fastAPI Amazon Bedrock Amazon Comprehend PostgreSQL RAG Agentic Workflows Fine Tuning LoRAs Multimodal AI

Teaching Assistant

BRAC University

Jan 2023 - Nov 2023 (10 months)

Assisted course instructors in designing curriculum, conducting classes, and grading exams. Held consultations with students to clarify concepts and enhance comprehension of course material.

Education

Degrees, certifications, and relevant coursework

CUNY School of Professional Studies

Master of Science, Generative AI

Pursuing a Master of Science in Generative AI with a focus on Large Language Models, RAG Systems, Transformers, and Intelligent Agents. Expected graduation in 2027.