dd
dave d.
Aug 19, 2024
TC Fixed
You will get a real-time object-detection system deployed on NVIDIA Jetson Nano.
Top Rated
You will get a real-time object-detection system deployed on NVIDIA Jetson Nano.
Top Rated
- Delivery Time 7 days
- Number of Revisions 1
7 days
delivery —
Sep 18, 2024
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. Muhammad gets paid once you are satisfied with the work.
Project details
You will get a realtime FOD detection system deployed on NVIDIA device. I can build a similar pipeline for other applications also.I used YOLOv4 for this project, but I can also go for the latest YOLOv5 that is better both performance and accuracy wise.
Operating System
Linux/UnixWhat's included
| Service Tiers |
Starter
$5,000
|
Standard
$7,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 3 | Unlimited |
Remote Connection Support | - | - | - |
Documentation | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$1,000
Documentation
(+ 7 Days)
+$1,000
32 reviews
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RG
Robert G.
Aug 14, 2024
RAG optimization of GenAI LLM
Awesome work ethic, attitude, and knowledge/passion on the subject matter.
LK
Lisa K.
Jun 24, 2024
Seeking AI and Automation Expert Focussed on AI Use Cases - Long Term Role
An exceptional communicator, Muhammad has demonstrated his expertise in this area. Only closing the contract to make changes. We're looking forward to working with Muhammad moving forward.
dd
dave d.
Mar 18, 2024
Computer Vision and AWS Engineer
Great work and communication as well as expertise and proffesionalism, would recommend 100%
MW
Mister W.
Sep 7, 2023
60 minute consultation
I had an awesome consultation with Muhammad - he has an amazing work ethic, is passionate about his field, and asks all the right questions to ensure that his work is aligned with his client's goals. Highly recommend.
About Muhammad
Machine Learning Engineer
100%
Job Success
Islamabad, Pakistan - 8:27 am local time
💡 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐭 | 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧,𝐍𝐋𝐏, 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐑𝐀𝐆 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐍𝐯𝐢𝐝𝐢𝐚 𝐎𝐦𝐧𝐢𝐯𝐞𝐫𝐬𝐞, 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 & 𝐌𝐨𝐫𝐞! 💡
Are you seeking an experienced Machine Learning Engineer to help you unlock the full potential of your data? Look no further! With a strong track record in successfully developing and implementing AI-driven solutions, I am your go-to expert for all your data needs.
𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
• 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐑𝐀𝐆: Developed tailored prompts and RAG (Retrieval-Augmented Generation) workflows that improved model accuracy by 20%, enhancing AI-driven solutions' performance.
• 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐭: Expertise in GHL, Zapier and Make (Integromat) for building lead qualification and sales bots, automating workflows to enhance business processes.
• 𝐍𝐯𝐢𝐝𝐢𝐚 𝐎𝐦𝐧𝐢𝐯𝐞𝐫𝐬𝐞 & 𝐂𝐡𝐚𝐭𝐔𝐒𝐃: Implemented innovative 3D creative workflows, and self-learning chatbots for artists.
• 𝐃𝐚𝐭𝐚 𝐂𝐥𝐞𝐚𝐧𝐢𝐧𝐠 & 𝐏𝐫𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Enhanced data integrity by 25%, leading to more accurate model predictions and actionable insights.
• 𝐃𝐚𝐭𝐚 𝐒𝐜𝐫𝐚𝐩𝐢𝐧𝐠 & 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧: Automated data collection processes, increasing efficiency by 40% and ensuring high-quality data for training models.
• 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Optimized model training processes, achieving a 15% reduction in training times and a 10% increase in model accuracy.
• 𝐀𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: Delivered insights that improved decision-making processes, resulting in a 20% increase in operational efficiency.
• 𝐀𝐏𝐈 𝐄𝐧𝐝𝐩𝐨𝐢𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Developed robust API endpoints using FastAPI, streamlining integrations and enhancing system interoperability.
𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:
• 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: PyTorch, Tensorflow, MXNet, Fastai, PyTorch Lightning
• 𝐆𝐏𝐓-𝟒, 𝐋𝐚𝐧𝐠𝐜𝐡𝐚𝐢𝐧, 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞: Created custom chatbots and AI models, enhancing customer interactions and data analysis.
• 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Implemented YOLO, Faster/Fast-RCNNs, and DeepSort, achieving superior object detection and tracking.
• 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈: Developed advanced models using Nvidia Nemo and Nvidia Jarvis, improving conversational capabilities.
• 𝐆𝐀𝐍𝐬 & 𝐀𝐮𝐝𝐢𝐨 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Created models for audio classification and speech-to-text, improving recognition accuracy.
• 𝐆𝐫𝐚𝐩𝐡 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬: Developed an Anomaly Detection workflow for CPS systems using Graph Attention-based scoring.
• 𝐀𝐖𝐒 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: Developed cost-effective and scalable solutions in the AWS ecosystem using services like EC2, Textract, Rekognition, Lambda, and more.
• 𝐍𝐋𝐏 & 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Integrated NLP and time series analysis techniques, enhancing data processing and predictive capabilities.
• 𝐀𝐦𝐚𝐳𝐨𝐧 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 & 𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: Leveraged SageMaker for scalable model training and deployment, optimizing resource use.
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬:
𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python
𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: OpenCV, Numpy, Scikit-Learn, Matplotlib, SciPy, Pandas, NLTK, XGBoost
𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥:: GIT, CodeCommit
𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Statistics, Calculus, Classification/Clustering, Machine Learning, Deep Learning
𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: GHL, Make (Integromat)
𝐌𝐞𝐭𝐡𝐨𝐝𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Scrum, TDD
𝐎𝐭𝐡𝐞𝐫: Linux, Strong Math Background
As a dedicated and passionate Machine Learning Engineer, I am committed to delivering exceptional results tailored to your project's unique requirements. Together, we can transform your data into actionable insights and cutting-edge solutions that drive success.
Ready to unleash the power of AI? Let's chat!
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Preparation
Making the relevant images dataset, if not available already.
Training the Detection Model