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I will develop an ai tool
Suraj T
About this gig
AI/ML Services I offer:
Custom AI/ML Model Development
Predictive Analytics
Computer Vision Solutions
Natural Language Processing (NLP)
Recommendation Systems
AI-Powered Chatbots and Virtual Assistants
Automation with AI/ML
Data Mining and Feature Engineering
AI-Driven Marketing Automation
Deep Learning Solutions
AI Model Optimization and Fine-Tuning
AI-Powered Fraud Detection
AI in Supply Chain and Operations
AI Consulting and Strategy
AI/ML Model Deployment and Monitoring
AI in Healthcare
AI for Customer Experience and Personalization
Sentiment Analysis
Get to know Suraj T
Suraj T
Your Tech Partner for Web, Mobile, Cloud, and AI Solutions
- FromIndia
- Member sinceApr 2024
- Last delivery1 year
Languages
English, Hindi
Hi! I am a tech anthuastic with 7+ years of experience building scalable mobile apps, web apps, and cloud solutions. I deliver end-to-end development, from sleek frontends to robust backends and secure cloud deployment (AWS, Azure, GCP).
My services include:
- Mobile Apps (iOS, Android, Flutter)
- Web & SaaS Development (React, Node.js, Django)
- Cloud & DevOps (AWS, Docker, CI/CD)
- AI/ML (NLP, Recommendations, Automation)
- API Integrations & Databases (REST, GraphQL, PostgreSQL, MongoDB)
Let’s build something powerful and future-ready.
Message me to get started!
My Portfolio
FAQ
How long does it take to develop a machine learning model?
The timeline can vary depending on the complexity of the problem, the availability of data, and the specific use case. It can range from a few weeks for smaller projects to several months for more complex solutions.
What tools and technologies do you use for AI/ML development?
I use a variety of tools such as Python, TensorFlow, Keras, PyTorch, Scikit-learn, and cloud platforms like AWS, Google Cloud, and Microsoft Azure for model development, deployment, and integration.
How can AI/ML improve my business processes?
AI/ML can automate repetitive tasks, improve decision-making with predictive analytics, enhance customer experiences through personalization, detect patterns and anomalies in data, and optimize business operations in real time.
How do I maintain and update my AI/ML model after deployment?
Models need to be monitored for performance over time. If performance degrades, I can retrain the model with new data or tweak parameters. Maintenance often includes setting up monitoring systems, periodic reviews, and handling data drift.
