Curriculum vitae

AI Data Engineer at Technovative Solutions, Manchester.

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Education

Experience

AI Data Engineer · Technovative Solutions

Machine learning systems, agentic tools, and model deployment. Inference engineering case study.

Research Fellow · Fatima Fellowship

September 2024–December 2025

Research on multimodal misinformation detection, including MERIT and evidence-grounded graph methods.

Data Science Fellow · Faculty

Past role

Publications & preprints

  1. Investigating Knowledge Transfer Across Interactive Dialogue Games

    Filippo Momentè, Mir Nafis Sharear Shopnil, Andrea de Varda, Pavel Merinov, Raffaella Bernardi, Oswald Lanz, Alessandro Suglia, Alessandro Torcinovich

    arXiv:2608.23969 · Preprint · August 2026

    Joint first authorship: Filippo Momentè and Mir Nafis Sharear Shopnil.

  2. Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs

    Sharad Duwal, Mir Nafis Sharear Shopnil, Abhishek Tyagi, Adiba Mahbub Proma

    IEEE/CVF CVPR Workshops (PP-MisDet), 2026, pp. 10994–11003

  3. MERIT: Modular Framework for Multimodal Misinformation Detection with Web-Grounded Reasoning

    Mir Nafis Sharear Shopnil, Sharad Duwal, Abhishek Tyagi, Adiba Mahbub Proma

    arXiv:2510.17590 · Preprint · 2025, revised April 2026

  4. Reflections from the 2025 EcoHack: AI & LLM Hackathon for Applications in Evidence-based Ecological Research & Practice

    Jennifer D’Souza et al., including Mir Nafis Sharear Shopnil

    EcoEvoRxiv · Preprint · April 2025 · Not peer reviewed

  5. Demystifying Black-box Learning Models of Rumor Detection from Social Media Posts

    Faiza Tafannum, Mir Nafis Sharear Shopnil, Anika Salsabil, Navid Ahmed, Md. Golam Rabiul Alam, Md Tanzim Reza

    IEEE UEMCON, 2021, pp. 358–364

Selected tools

Python, PyTorch, Hugging Face, vLLM, FastAPI, Docker.

Contact

sharears4077@gmail.com · GitHub · LinkedIn