About Me

I am a Machine Learning Engineer and an AI researcher with a B.Sc. in Computer Science & Engineering from RUET.

My central research objective is advancing reasoning capabilities within Large Language Models and Generative AI systems. To achieve this overarching goal, my work explores:

• (a) refining internal model logic and alignment through contrastive signals;
• (b) grounding reasoning processes using Knowledge Graph-integrated Retrieval-Augmented Generation (RAG) frameworks; and
• (c) designing autonomous, multi-agent orchestration systems to execute multi-step reasoning tasks.

Experience

ResearchDen | Remote
Lead Researcher (Dec. 2024 – Present)

• Lead collaborative AI and ML research groups, guiding first-time and seasoned researchers from ideation to publishing in peer-reviewed conferences and journals.
• Mentor community members on research methodology, literature review, and paper writing, fostering a collaborative culture of accountability.

AIML Professional Community Bangladesh | Remote
Mentor (Apr. 2025 – Present)

• Mentor junior researchers on machine learning projects, providing guidance on research methodologies and technical implementations.
• Facilitate code reviews and conceptual discussions to improve model performance and adhere to industry best practices.

Euclido Inc. | Waterloo, Ontario, Canada (Remote)
Machine Learning Engineer-I (March 2024 – Present)

• Design LangGraph-based RAG chatbots and implement knowledge graphs to map session relationships, enabling highly context-aware responses and deeper insights into user interactions.
• Develop autonomous AI agents to manage end-to-end ETL processes, successfully automating data ingestion, transformation, and loading to reduce manual intervention.

Department of CSE, RUET | Rajshahi, Bangladesh
Research Assistant (Jan. 2022 – July 2022)

• Conducted extensive literature reviews and experimental analysis under faculty supervision to explore novel machine learning applications.
• Contributed to data processing and model evaluation, culminating in findings that were successfully published in a peer-reviewed research paper.

Future Explorations

I am currently exploring the following areas:

Music Information Retrieval (MIR)

I am fascinated by the structural complexities of music and plan to explore self-supervised representation learning within Music Information Retrieval. My goal is to investigate how generative models can capture the hierarchical nature of audio signals, enabling more intuitive music generation and cross-modal reasoning.

Financial Reasoning via Preference Optimization

Leveraging my sentiment analysis background, I am exploring how Direct Preference Optimization (DPO) can enhance financial reasoning in vision-language models. Unlike conventional fine-tuning (which often degrades multimodal capabilities), DPO-based methods promise to preserve cross-modal understanding while boosting domain-specific performance even in smaller language models.

Multi-Agent Story Generation

Building on my Bangla text generation experience, I am curious on novel frameworks where specialized agents collaborate to structure narratives. This approach targets the discourse incoherence and hallucination common in single-model systems, maintaining creative flexibility through controlled multi-agent orchestration.

I would love to discuss my research and any opportunities! Feel free to email me at rakib.ruet.cs@gmail.com

Outside of work, I enjoy testing my predictive intuition on Fantasy Premier League, capturing moments as a hobbyist photographer, and writing short stories and poetry.

Slices of life

Dec 2025	Paper Accepted in BLP Workshop @ IJCNLP-AACL 2025!
Nov 2025	Published a short story in the popular monthly magazine Rohosso Potrika (রহস্যপত্রিকা).
May 2025	Paper Rejected in ACL 2025😭!
Apr 2025	Contributed to pdflatex_bengali for Bangla Transliteration with Bangtex
Nov 2024	Created a python package DetectVideoShotLength to analyze movie scene lengths.
Mar 2024	Attended iCACCESS 2024 and presented this paper.