Looking for a job

Ahmed Rafi Hasan

@ahmedrafihasan

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I build production multi-agent AI systems and multimodal machine-learning pipelines.

Bangladesh

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What I'm looking for

I'm looking to build end-to-end AI systems and advance research in multimodal machine learning, LLMs, AI agents, computer vision, and cloud-deployed production applications.

At Pivotly, I build multi-agent AI systems for document intelligence and conversational product recommendations. My work includes LLM-based structured extraction, agentic OCR, visual search, agentic SQL, and safety controls for production workflows.

I previously deployed SOLCHAT at Silicon Orchard Limited, building a production RAG pipeline with LangChain, ChromaDB, FastAPI, and SQLite. I also worked on physics-guided neural networks, multimodal image clustering, LoRA fine-tuning, and vision-language model reasoning.

My research spans computer vision, reinforcement learning, multimodal learning, and precision agriculture. I’ve contributed to published work on attention-based water monitoring, CNN methods, imbalanced classification, speech emotion prediction, and scene graph generation.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Pivotly

Aug 2025 - Present (1 year 1 month)

Designing and developing agentic document extraction systems and multi-agent conversational recommendation systems. Conducting R&D on agentic OCR, multimodal models, and LLM orchestration with LangGraph.

Machine Learning LLM LangGraph fastAPI SQL MySQL SQLite Computer Vision Mask2Former GNN Azure MCP A2A Prompt Engineering RAG Agentic Systems

Software Engineer, Machine Learning

Silicon Orchard Limited

Mar 2024 - Jul 2025 (1 year 4 months)

Developed and deployed a full machine learning pipeline for SOLCHAT, including custom RAG pipelines and vector chunk management. Worked on physics-guided neural networks, multimodal image clustering, and LoRA finetuning.

Python Lang Chain ChromaDB fastAPI SQLite RAG LoRAs VLM Azure ML Deployment API Integration

Junior Machine Learning Engineer

Nodes Digital Limited

Jan 2023 - Feb 2024 (1 year 1 month)

Developed ML algorithms for precision agriculture projects with BARC and IAR, focusing on IoT-based smart irrigation using AWD technique. Designed predictive and computer vision models for real-time water monitoring and edge computing.

Machine Learning Computer Vision IoT Edge Computing predictive modeling Python CNN

Part-time Lecturer/ Instructor

United International University

Jun 2023 - Sep 2023 (3 months)

Taught core undergraduate courses including Digital Logic Design and Discrete Mathematics. Developed curriculum materials, designed assignments and exams, and provided academic mentorship to 100+ students.

Teaching Curriculum Development Digital Logic Design Discrete Mathematics Mentorship

Undergraduate Student

Institute for Advanced Research, UIU

Nov 2021 - Dec 2022 (1 year 1 month)

Implemented theoretical hypotheses of a Dynamic Weighted Tabular Method for CNNs. Conducted image processing, training, and prepared ablation studies and result tables.

CNN Image Processing Ablation Studies Research Python

Undergraduate Thesis

United International University

Feb 2022 - Nov 2022 (9 months)

Explored scene graph generation techniques and reproduced results from different papers. Worked on imbalance data handling.

Scene Graphs Deep Learning Imbalanced Data Research

Education

Degrees, certifications, and relevant coursework

United International University

Bachelor of Science, Computer Science and Engineering

2019 - 2023

Grade: 3.76/4.00

Bachelor of Science in Computer Science and Engineering with a major in Data Science, achieving a CGPA of 3.76/4.00 and receiving the Cum Laude scholastic award.