I will build computer vision solutions with yolo, CNN, and opencv

R
rokibulislam961
R
rokibulislam961
Rokibul

About this gig

Struggling to turn raw images or video into a working AI system? I build custom computer vision solutions that actually get deployed, not just notebook demos.

I specialize in object detection, image segmentation, and object tracking using YOLO, CNN architectures, and OpenCV. My work spans fine-tuning models on custom datasets, optimizing accuracy through data augmentation and architecture selection, and packaging results into a usable API not just a model file you don't know what to do with.

Recent work includes fine-tuning YOLOv8 for real-world object detection, building self-supervised segmentation models for medical imaging, and developing brain-inspired object detection systems combining CNN backbones with attention mechanisms.

What you get:

Custom-trained model on your dataset (not a generic pretrained demo)

Clear evaluation metrics (accuracy, mAP, F1) so you know it actually works

Clean, documented code Python, PyTorch, OpenCV

Optional FastAPI deployment so your model is usable, not just trained

I work end-to-end: data preprocessing, model training, evaluation, and deployment. Whether you need a quick prototype or a production-ready pipeline.

Get to know Rokibul

Rokibul

AI,ML Engineer

  • FromBangladesh
  • Member sinceJul 2026
  • Avg. response time1 hour
  • Languages

    English, Hindi
AI/ML Engineer specializing in computer vision, LLM/VLM fine-tuning, and RAG systems. Experience fine-tuning OpenVLA, SmolVLA, and BanglishBERT; building CNN-based segmentation/detection pipelines; and developing agentic AI workflows with LangGraph and MCP. Comfortable across the full pipeline — data processing, training, evaluation, deployment (FastAPI/Django). Native Bangla speaker, strong edge in code-mixed NLP. CSE graduate (AI/ML concentration), researching robotic scene understanding. Reliable communication, clean code, and real problem-solving.

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