Expert Open for Work - Full-Stack Developer / Product Manager (Strapi, React, C#, AI, Tailwind)

Jobs
1

Hello,

I am currently seeking a new project.

The type of project I am interested in:

  • Contract / Freelance Work
  • Rate: €83 per hour
  • Fully Remote or hybrid (I live in Ghent, Belgium)
  • Positions: Frontend, Backend, or Product Manager

I am an international freelancer and industrial computer engineer, distinguished by constant innovation and a thirst for knowledge, demonstrated by postgraduate degrees in cutting-edge fields such as big data, artificial intelligence, and energy coordination.

My professional background includes the innovative integration of advanced sensor technologies on public roads, targeting applications for law enforcement. With over 15 years of experience in development around digital asset management, I excel in creating seamless integrations between products and diverse business applications.

LinkedIn

2

Hi Lauren,

I hope you’re doing well. I’m looking for a full-stack developer for a short/medium-term project at a startup in the AI industry. Your background and skills seem like a great fit for our needs.

Are you still available or will you be available soon? I saw your rate is €83 per hour—could you let me know if there’s any flexibility on that for a startup project?

Looking forward to chatting more!

Best,
Elisa

3

Hi Elisa

We can help you with the short and medium-term project as per your requirement. As we have more than 4 years of experience in the AI/ML industry. Kindly refer to the below GitHub link for our work in AI/ML.

AI/ML Expertise:

  • Libraries: TensorFlow, PyTorch, scikit-learn, Keras, OpenCV, NLTK, spaCy, pandas, NumPy, Matplotlib, Seaborn.

  • Algorithms:

=> Supervised Learning: Linear Regression, Decision Trees, Random Forest, Support Vector Machines, Neural Networks.

=> Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA), Gaussian Mixture Models.

=> Reinforcement Learning: Q-Learning, Deep Q Networks (DQN), Policy Gradient Methods.

  • Models:

=> Image Classification: CNNs (Convolutional Neural Networks), ResNet, VGG.

=> Natural Language Processing: RNNs (Recurrent Neural Networks), LSTM, Transformer models like BERT.

=> Recommender Systems: Collaborative Filtering, Content-Based Filtering.

  • Tools and Techniques:

=> Data Preprocessing: Feature scaling, normalization, one-hot encoding.

=> Evaluation Metrics: Accuracy, Precision, Recall, F1 Score, ROC-AUC.

=> Hyperparameter Tuning: Grid Search, Random Search, Bayesian Optimization.

=> Model Deployment: Flask, FastAPI, Docker.

  • Cloud Services:

=> AWS (Amazon SageMaker, Lambda), Google Cloud Platform, Azure.

Can we connect via email[jigar@dinjaninfotech.com] or Skype[jigar@dinjaninfotech.com] for further discussion in detail?

4

Hi @ElisaDefined

I already have a new project for to fill the majority of my time currently, but still open part-time.