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║ Results-driven AI/ML Engineer · 1+ yr production experience ║
║ 95–99% model accuracy · 8+ client pipelines · AWS-deployed RAG ║
║ XAI Researcher (medical imaging) · Open-Source Author · 6× Winner ║
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Position : AI Engineer › SparkTech Agency
Timeline : Sept 2025 – Present (Trainee → Junior AI Engineer, Full-time)- Shipped 8+ client-facing NLP, OCR, CV, and RAG pipelines using LangChain/LLMs — cut model iteration time ~30% and data preprocessing ~40% via W&B / MLOps standardization
- Architected scalable RAG systems with FAISS / Pinecone + FastAPI, achieving sub-2s query responses in production
- Acted as AI Engineer · Project Manager · System Architect — owned team coordination (3–4 members), end-to-end architecture, and client delivery for production RAG, OCR extraction, and document verification systems
Degree : B.Sc. Computer Science & Engineering › 2022 – 2026
Institute : Green University of Bangladesh
Major : Artificial Intelligence & Machine Learning
Research : Medical AI · Explainable AI · NLP · Computer Vision|
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[ PAPER ] XAI-Based Hybrid Attention Fusion for Skin Cancer Classification — Under Review
Supervisor: Prof. Dr. Mohammad Shorif Uddin · Green University of Bangladesh
- Designed a novel ABCD rule-based Clinical Saliency Mask + Gradient Coherence Weighting algorithm — outperforms Grad-CAM and LIME benchmarks in skin lesion explainability
- Achieved 96% classification accuracy on dermatology datasets using Swin Transformer with a custom attention fusion module
[ OSS ] NeuroGebra Framework — Open-Source AI Mathematics Library
- Executable AI mathematics framework — real-time visualization of core ML formulas during training to make neuron behavior transparent
- Adopted by students and researchers as a PyTorch/TensorFlow companion · Documentation at neurogebra.readthedocs.io
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Production RAG system for U.S. Federal & Michigan State law. Led 3-person team as AI Engineer + PM — semantic chunking, FAISS indexing, FastAPI microservices. Sub-2s query response in production. |
OCR pipeline parsing driver permit documents — extracts route waypoints with auto-map plotting. Designed full system architecture incl. voice-to-text integration; delivered ahead of client deadline. |
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Production OCR verifying passports + driver licenses via intelligent fuzzy identity matching → automated APPROVE / REVIEW / REJECT decisions. AWS EC2 + CI/CD + health monitoring. |
99.19% accuracy with DistilBERT fine-tuning — 8-bit quantization + structured pruning with <1% accuracy degradation. Production-ready for mobile deployment. |
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Real-time YOLOv8 detection — vehicles, license plates, non-helmet bikers — with automated fine generation + email alerts. Awarded Best Project at university showcase. |
95.19% accuracy with SOTA CNN backbones (EfficientNet-B3, ResNet50) — enriched with Grad-CAM, t-SNE, and PCA for deep model transparency. |
┌───────────────────────────────────────────────────────────────────────────┐
│ RESULT COMPETITION / EVENT DATE │
├───────────────────────────────────────────────────────────────────────────┤
│ 1st Runner-Up Comilla University Data Science Hackathon Nov 2024 │
│ Best Innovation IDP-1 Project Showcase (ViolaShield) Jan 2025 │
│ 3rd Runner-Up University IT Olympiad Oct 2024 │
│ Finalist NSU FutureBuilders AI Hackathon Dec 2024 │
│ Finalist BUBT AI Competition Nov 2025 │
│ Finalist IUBAT National Hackathon Dec 2024 │
│ 1st Runner-Up Hult Prize Business Challenge Mar 2022 │
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► Enduring Member BASIS Students' Forum (Lifetime)
└─ Mentors members on tech industry practices & ICT career development
► Information Secretary GUB Computer Club · 2023 – 2024
└─ Organized 5+ ML/web/CP workshops for 200+ students
► Software Engineer GUB Robotics Club · 2024 – 2025
└─ Embedded systems prototypes; bridged software & hardware teams
► Event Coordinator BASIS Students' Forum · 2023 – 2026
└─ Coordinated national IT industry events & workshops
► Technical Volunteer ICPC Dhaka Regional & CSE Carnival · 2023 & 2024
└─ On-site technical support for BD's largest CP & CS events
Building impactful AI solutions, contributing to open source, and continuously learning every day
Open to collaborations, research opportunities, and impactful AI projects.