You will get optimized & safe LLMs with deep learning integration for enhanced accuracy.
Project details
This project provides model tuning and deep learning integration to enhance LLM accuracy and decision-making. It includes use case adaptation, performance monitoring, and scalability to fit diverse applications and data complexities.
Project Scope :
- Model Tuning: Optimize various LLMs for specific use cases such as image classification and object identification.
- Deep Learning Integration: Apply deep learning techniques to enhance model accuracy.
- Machine Learning Enhancements: Implement machine learning algorithms for improved decision-making.
- Use Case Adaptation: Tailor models to fit different applications and scenarios.
- Performance Monitoring: Continuously monitor and adjust models for optimal performance.
- Scalability: Ensure models are scalable and adaptable to varying data sizes and complexities.
Achievements :
- Model Accuracy: 95-97% improvement in classification and identification accuracy.
- 99% enhancement in model performance through deep learning techniques.
- Increase in model adaptability to various use cases.
- Eficient performance tracking and adjustments.
- 20% boost in model scalability and data handling capabilities.
Project Scope :
- Model Tuning: Optimize various LLMs for specific use cases such as image classification and object identification.
- Deep Learning Integration: Apply deep learning techniques to enhance model accuracy.
- Machine Learning Enhancements: Implement machine learning algorithms for improved decision-making.
- Use Case Adaptation: Tailor models to fit different applications and scenarios.
- Performance Monitoring: Continuously monitor and adjust models for optimal performance.
- Scalability: Ensure models are scalable and adaptable to varying data sizes and complexities.
Achievements :
- Model Accuracy: 95-97% improvement in classification and identification accuracy.
- 99% enhancement in model performance through deep learning techniques.
- Increase in model adaptability to various use cases.
- Eficient performance tracking and adjustments.
- 20% boost in model scalability and data handling capabilities.
AI Development Type
Deep Learning, Model TuningAI Tools
MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$21,000
|
Standard
$31,000
|
Advanced
$41,000
|
|---|---|---|---|
| Delivery Time | 31 days | 41 days | 61 days |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy |
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GC
Gheorghe C.
Sep 25, 2025
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BR
Brad R.
Jun 17, 2025
Backend Development / UX/UI Software Development
Mangesh UI improvements, new website build were outstatnding! Highly recommened if you need any dev work! We have been using Mangesh and team for 2 plus years and they always deliver!
MD
Momar D.
Apr 9, 2025
Web Scraper Needed to Build a Database of US Clinics Offering GLP-1 Injections (Ozempic, Wegovy)
It was a pleasure working with Mangesh and his team. They delivered the work on time and communicated regularly throughout the engagement. I appreciated their professionalism and attention to detail, in addition to taking additional steps to ensure the work was done to my specifications (for instance a kickoff meeting). I would work with them again and would also recommend them to others!
BR
Brad R.
Mar 31, 2025
Backend Development / UX/UI Software Development
Dev team are awesome. We use them for all dev work associated with our platform. Highly recommend
KG
Ken G.
Dec 3, 2024
Email service for communicating with an automated trading system
About Mangesh
Expert Software Developer| Python| Django| Laravel |Marketplace Expert
100%
Job Success
Mohali, India - 10:47 pm local time
💼8 years in 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝗪𝗲𝗯 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
⚛️𝗣𝘆𝘁𝗵𝗼𝗻| Django| FastAPI |PyTorch| TensorFlow| NumPy| Hugging Face
🔄𝗣𝗛𝗣| Laravel | Symfony| CodeIgniter|Yii | CakePHP| Symfony
🤖𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲/𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴
🌐𝗔𝗣𝗜 integration
🔒 𝐒𝐞𝐜𝐮𝐫𝐞 Coding Practices
🚀 * Expert Vetted talent in Upwork with 100% job success rate. My unique strength lies in seamlessly integrating these models into web platforms, a testament to my additional expertise as a full stack developer. My approach is holistic, ensuring both the data-driven backend and user-focused frontend work in harmony.
𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
🌐 Designed and implemented state-of-the-art AI algorithms tailored for diverse industries and applications.
🔗 Spearheaded projects that leverage web platforms to visualize and interact with complex AI-driven data.
🔧 Demonstrated proficiency in various frameworks, ensuring optimal tools are chosen whether creating a novel AI solution or refining an existing model.
𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗦𝗸𝗶𝗹𝗹𝘀:
🧠 Model Development: Expertise in creating, tuning, and deploying machine learning and deep learning models.
📊 Data Handling: Proficient in automating dataset collection, preprocessing, and annotation. Overcame challenges related to image and video frame rates using tools like OpenCV.
📉 Visualization & Interpretation: Skilled in tools and techniques for visualizing high-dimensional data and model results.
𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀:
Frontend:
✔React.js
✔Redux (ensuring clean, predictable code)
✔Angular.js
✔HTML5, CSS3, JavaScript
✔Bootstrap & Tailwind Frameworks
✔Vue.js
✔Typescript
Backend:
✔Node.js
✔Flask
✔Python
✔Django
✔NumPy
✔pandas
✔TensorFlow
✔Databases: PostgreSQL, MySQL, MongoDB
𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝘃𝗲 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀:
🔄 AI Integration: Expertise in facilitating communication between AI models and web interfaces, ensuring real-time data representation and interaction.
🔍 Comprehensive Solutioning: Ability to work on the entire tech stack, from frontend/backend API development to the underlying AI algorithm.
𝗙𝗮𝗺𝗶𝗹𝗶𝗮𝗿 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀:
Operating Systems: Linux, Windows, Mac OS.
Version Control: Git, SVN, Bitbucket, GitHub.
Project Management: Asana, openProject.
Deployment & CI/CD: Jenkins, Heroku, Nginx, Docker.
Other: Web scraping.
Steps for completing your project
After purchasing the project, send requirements so Mangesh can start the project.
Delivery time starts when Mangesh receives requirements from you.
Mangesh works on your project following the steps below.
Revisions may occur after the delivery date.
Project planning and milestone setup.
Define tasks and deadlines.
Initial development and implementation
Start creating the project.