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AI Engineer with 1+ years in NLP & LLM-based systems and Backend Development
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Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience building and deploying production-level NLP and LLM-based systems. Skilled in fine-tuning transformer models, designing RAG pipelines, and developing bilingual (Bangla-English) NLP solutions. Published ML researcher with a strong backend engineering foundation. Passionate about applying cutting-edge AI to high-impact social development challenges.
North South University
Bachelor of Science · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Talent Pro
AI/ML Engineer (Junior Software Developer)
February 1, 2025 – Present
Dhaka, Dhaka Division, Bangladesh
Food Image Classification – Model Ensembling Research
June 26, 2026 – Present
Trained 74 models across 15 ensemble combinations using parameter averaging and model ensembling (InceptionV3, ResNet50, VGG16) on the Food11 dataset, achieving 95.24% peak accuracy. Parameter averaging improved accuracy in 75% of tested models, demonstrating systematic model optimization methodology.
View ProjectShotota: Bangla-English Bilingual Plagiarism Detection System
June 26, 2026 – Present
Designed and built a bilingual NLP pipeline for Bangla plagiarism detection, addressing tokenization challenges unique to low-resource Bangla text. Used BERT-based sentence vectorization for multi-sentence paraphrase detection across multiple plagiarism categories. Built a semantic similarity scoring system to evaluate factual consistency between document pairs.
View ProjectSkin Cancer Detection using Lightweight Model Souping and Ensembling Knowledge Distillation for Memory-Constrained Devices
Intelligent Biomedical Engineering
January 1, 2024 – Present
ICPC Asia Dhaka Regional Preliminary 2023
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic research and practical application in conversational AI and multimodal systems, indicates a broad interest in AI/ML domains. The involvement in competitive programming and research publications suggests a drive for continuous learning and excellence. The focus on 'high-impact social development challenges' aligns with a culture that values purpose-driven innovation. The current role as an AI/ML Engineer (Junior Software Developer) at Talent Pro, combined with academic projects, shows a blend of theoretical knowledge and practical application, which is generally a good indicator of cultural fit for dynamic tech environments. The breadth of skills across NLP, LLMs, backend systems, and databases demonstrates adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights a proactive approach to problem-solving and a passion for applying cutting-edge AI to high-impact social development challenges, suggesting a good operational fit for roles requiring innovation and impact. The experience in architecting and deploying multi-client platforms indicates an ability to manage complex projects and deliver production-ready solutions. However, without specific assessment data on collaboration, stress handling, or direct communication, a comprehensive soft skill evaluation is limited.