AI Research Engineer with 1+ years in LLMs & RAG Systems
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Assessing your cultural and operational fit
AI Research Assistant and Project Associate with a strong background in Computer Science and Engineering, specializing in AI/ML, NLP, and RAG-based systems. Experienced in designing robust backend services, building innovative AI solutions, and contributing to open-source projects. Proven problem-solver with expertise across competitive programming platforms and a track record of successful research and development initiatives.
Chittagong University of Engineering and Technology
Bachelor of Science · Computer Science and Engineering
March 1, 2022 – May 1, 2026
Hackules Inc.
Research Assistant
January 1, 2025 – December 1, 2025
Remote
Dotlines Bangladesh
Project Associate
July 1, 2024 – March 1, 2026
Gulshan, Dhaka Division, Bangladesh
RAG-Based Information Chatbot
July 1, 2024 – March 1, 2026
Designed the core architecture for a RAG-based chatbot, focusing on optimal document retrieval and context generation for user information queries.
View ProjectText Summarizer Project
January 1, 2023 – January 1, 2023
Implemented a Pegasus-based text summarization model using Hugging Face Transformers, trained on the SAMSum dataset to generate concise dialogue summaries.
View ProjectCOVID-19 Trend Analytics Engine
January 1, 2023 – January 1, 2023
Built a machine learning project using clustering, regression, and classification to analyze and visualize COVID-19 trends across countries for comparative insights.
View ProjectBijoy - Python Open Source Library
January 1, 2023 – January 1, 2023
Developed a lightweight Python library for automatic change tracking and object-level observability, enabling audit history and undo functionality for efficient debugging.
View Project3th Position out of 45 teams in "Detecting AI-Generated Product Reviews" at DravidianLangTech @NAACL
DravidianLangTech @NAACL
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects, open-source contributions, and competitive achievements, demonstrates a strong passion for AI and technology. Their experience as a Research Assistant and Project Associate aligns well with the target role of an AI Research Engineer, indicating a good fit for a research-oriented and innovative environment. The breadth of skills and continuous engagement in academic and competitive activities suggest a proactive and growth-oriented mindset, which is beneficial for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a proactive approach to learning and applying advanced AI concepts. Their involvement in open-source development and competitive programming suggests strong problem-solving skills and a drive for continuous improvement. The research assistant role and publications highlight a collaborative spirit and ability to contribute to R&D environments. However, the descriptions are somewhat brief, making it challenging to fully assess communication clarity and depth of operational understanding.