Curriculum Vitae

AI Engineer & Research Fellow. Applying for PhD positions (Fall 2026).

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§ 01 · Education

Degrees

2017 → 2023
MSc, Artificial Intelligence — Merit (2:1)
Queen Mary University of London
Sep 2022 – Sep 2023
BSc, Computer Science — CGPA 3.45 · VC's List · Dean's List
BRAC University, Dhaka
Jan 2017 – Oct 2021
§ 02 · Research

Research experience

Fellowship · Collaborations

Research Fellow

Sep 2024 —
Fatima Fellowship (remote)
  • Designed MERIT, an agentic multimodal misinformation-detection pipeline orchestrating LVLMs with web-search tools and a verifiable evidence graph.
  • Co-led development of a cross-graph attention GNN for image–text consistency scoring.
  • Reached 93.05% accuracy on the evaluation set, beating the strongest LLM baseline by +2.82 points.
agentic-ai lvlm gnn evidence-graphs
§ 03 · Experience

Professional experience

Industry · 2024 —

AI Engineer · Lead Architect

Aug 2025 —
Technovative Solutions Ltd · Manchester
  • Leading agentic AI architecture for EU climate-adaptation programmes (CLIMATEAdaptEOSC, EcoPlast).
  • Mentoring a team of 10 junior engineers; setting the research roadmap for each programme track.
  • Operationalised the Prithvi EO foundation model for geospatial workflows alongside self-supervised vision backbones (SimCLR).
  • Deployed foundation models as containerised services with CI/CD.
architecture geospatial docker ci-cd

Data Scientist

May – Jul 2024
Faculty AI · London
  • Delivered production ML services for supply-chain reliability prediction.
  • Built end-to-end pipelines with XGBoost and LightGBM.
  • Deployed FastAPI microservices with monitoring and failsafe mechanisms.
fastapi xgboost mlops
§ 04 · Tooling

Technical skills

Day-to-day stack
Languages & core
Python · PyTorch · NumPy · Pandas · C++ · SQL
LLMs & agents
RAG · LangChain · LoRA / QLoRA · RLHF / GRPO · Hugging Face
Machine learning
Graph Neural Networks · PyTorch Geometric · Reinforcement Learning · SimCLR · XGBoost
MLOps & cloud
Docker · FastAPI · AWS (EC2 / S3) · GCP Vertex AI · Weights & Biases
§ 05 · Contact

Get in touch

Usually respond in 24h
Emailsharears4077@gmail.com
Phone+44 7308 009 046
Based inManchester, UK
ScholarpZ70qSoAAAAJ
GitHub@namikazi25
LinkedIn/mirnafissharearshopnil