You will get AI chatbot private assistant, fine tuned multi modal model deployment.
Project details
Creation of custom AI assistants with optional ASR/TTS integration or multimodal inputs (audio, text, images, or video).
The system will leverage my proprietary source code alongside open-source frameworks and libraries.
You will need to provide the hardware platform or cloud servers, including required GPUs or CPUs based on anticipated load.
Pure CPU deployment is feasible thanks to recent advancements in LLM engines, though it may limit functionality and speed.
I can incorporate LORA tuning or full fine-tuning of models, and deploy/customize most models from Hugging Face. I can evaluate and better tailor the job offer, including the client's specific customization requests.
Deliverables include a fully tested and deployed system suitable for personal and business use.
A further maintenance contract can be added after agreement.
The system will leverage my proprietary source code alongside open-source frameworks and libraries.
You will need to provide the hardware platform or cloud servers, including required GPUs or CPUs based on anticipated load.
Pure CPU deployment is feasible thanks to recent advancements in LLM engines, though it may limit functionality and speed.
I can incorporate LORA tuning or full fine-tuning of models, and deploy/customize most models from Hugging Face. I can evaluate and better tailor the job offer, including the client's specific customization requests.
Deliverables include a fully tested and deployed system suitable for personal and business use.
A further maintenance contract can be added after agreement.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, Conversational AI, Image Analysis, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Speech SynthesisAI Development Language
C++What's included
| Service Tiers |
Starter
$1,900
|
Standard
$3,900
|
Advanced
$6,500
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 21 days |
Number of Revisions | 2 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | |||
Image Upscaling | |||
MLOps | - | - | - |
Model Deployment | |||
Model Documentation | - | - | - |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$800
ASR and TTS
(+ 5 Days)
+$3,000
Long term memory
(+ 7 Days)
+$4,000
Reverse proxy
+$800Frequently asked questions
About Fabio
Electronic engineer: prototyping, PCB, RF, firmware, RTOS, robotics.
Las Palmas de Gran Canaria, Spain - 9:43 pm local time
My daily job is investigation and development of new technologies. You can benefit from my expertise if you are in need of innovation or you have an idea that nobody can't make it real. I provide better technologies, better ideas and better problems solving.
I am a skilled electronic engineer, multi-language developer, inventor, circuit designer. I have a background of Linux/BSD servers admin and networks admin.
My work ranges from developing space-grade electronic prototypes, deploying and managing large-scale data networks of IoT sensors to autonomous robotics design with AI.
I love to get involved in projects with different technologies. I am constantly updated on new technologies and electronic trends. I am a good advisor on the best technologies you should integrate into your next project. I have a company about IoT sensors, custom circuit designs, autonomous robotics, and web API for data gathering and visualization through web services.
One of my most relevant projects was the design of the avionics for a space satellite. During the development, I was able to integrate the top-quality components and adopt the most refined engineering methodologies.
I am an outstanding project manager with excellent orders logistic, time scheduling, and employee management.
I know how to design electronic circuits and how to optimize the PCB layouts for to pass compliance tests for the emission certification as per CE, FCC, UL regulations.
My experience includes:
-nRF52/53/54 bluetooth BLE chips from Nordic
-nRF9161/51 LTE SoC with CAT-M1 and NB-IoT
-ARM Cortex-M33 specialist
-ultra low power IoT designs with LTE, LoRa, Bluetooth and 5uA during sleeping
-IoT designs with sensors of any type
-IMU fusion and motion sensors
-Beaglebone Black, Raspberry PI, ODROID
-Arduino, Teensy3.2+3.6+4.x, Spresense
-design and firmware with NXP, STM32, Nordic, TI, Silabs ARM Cortex-M MCUs
-Multilayer PCB layout designs
-XBEE, Bluetooth BLE, WIFI, LTE
-LoRa and LoRaWAN transceivers design with Semtech RF chips
-Iridium sat embedded modems
-Autonomous robots, ocean and ground
-Wearable devices
-Tracking devices with sensor
-Solar panels design
-Lithium battery rechargers with safety
-Industrial heavy duty protocols and power electronics
-Encoders and motor drivers
-Automotive electronics design
-Aerospace electronics, RF and avionics design
-Machine learning on MCUs
-CAN bus, RS485, 5-20mA protocols
-Audio MIDI instruments design
-DSP algorithms
-Heterogeneous multicore architectures
-JTAG, SWD, GDB, openocd, Segger J-Link
-Jetson platforms from NVIDIA
-Allied Vision cameras
-CAD with FEM analysis
-3D printed enclosures for electronics
Software and firmware programming:
-Zephyr RTOS on Nordic RF SOCs
-Nuttx RTOS
-custom embedded Linux OS with Yocto project
-Linux OS (Raspberry PI, ODROID, ARM based) and servers: Ubuntu, Debian and ArchLinux
-FreeBSD, NetBSD on embedded boards and servers
-AI, machine learning, TinyML specialist
-computer vision on NVIDIA Jetson boards.
-PX4, MAVLINK, ROS and GAZEBO simulator
-Python, C, C++, LUA, Perl
-REST API via HTTPS and authentication
-MATLAB, Octave, NumPy
I can create custom RF circuits and antennas on PCB. I can run the required math and to provide the best impedance matching network. I can test the final RF circuit with my Vector Network Analyzer (VNA). I am specialist of IoT/LoRa/LTE frequencies.
I do microelectronics SMT soldering and prototyping in my lab. I place components using a professional microscope. I mount components with dimensions down to 0402 or BGA type. I have good contacts in the industry for PCBs fabrication and for the massive production in different parts of the world.
I do machine learning (AI) in microcontrollers installing into the firmware the inferences. I do training in the cloud. I am a specialist of TinyML on ARM Cortex-M33 MCUs.
I am honored to be a returning, invited speaker for the BSD foundation, where I discuss BSD operative systems worldwide at annual conventions in Europe and North America.
I have a private git server to manage all the files of my customers as remote accessible repositories so they can track the status on a daily basis.
My monthly flat rate is 8000 Euro. I begin to work with an initial upfront payment, fully released of about the 30% of the total value of the project. I prefer to work at long term projects to take care of all the features and all the design process. I am also available for preliminary feasibility studies of new products with a final PDF report.
I am the owner of a legal registered business in Spain to pay taxes and to provide all the engineering services. All the PDF invoices I send are declared and legal. Local EU regulations impose to send the PDF invoice to my customers to document the funds received.
Steps for completing your project
After purchasing the project, send requirements so Fabio can start the project.
Delivery time starts when Fabio receives requirements from you.
Fabio works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements evaluation
We will review your specific requirements together to configure the build, select the optimal LLM model, and integrate any additional features.