You will get Custom Edge AI & Computer Vision Apps on Nvidia Jetson
Rising Talent
Rising Talent
Project details
Do you need to run high-performance AI models on the Edge? I will help you develop, optimize, and deploy Computer Vision and AI applications on Nvidia Jetson platforms (Nano, TX2, Xavier, Orin).
With extensive experience in Embedded Systems and AI Hardware, I bridge the gap between heavy AI models and resource-constrained devices. Whether you need a simple object detector or a complex DeepStream pipeline, I ensure your application runs at maximum FPS with low latency.
What I Offer:
• Environment Setup: JetPack, CUDA, cuDNN, OpenCV, PyTorch/TensorFlow installation.
• Model Optimization: Converting models to TensorRT (FP16/INT8) for 3x-10x speed improvements.
• DeepStream SDK: Building video analytics pipelines for multi-stream processing.
• Custom Logic: Integrating inference results with MQTT, Flask, or simple GPIO triggers.
Supported Hardware:
• Nvidia Jetson Nano / 2GB
• Jetson Orin Nano / NX
• Jetson AGX Xavier / Orin
Why Choose Me?
• Expert in Edge AI and hardware acceleration.
• Proven track record with .NET and embedded integration.
• Clean, documented code delivery.
With extensive experience in Embedded Systems and AI Hardware, I bridge the gap between heavy AI models and resource-constrained devices. Whether you need a simple object detector or a complex DeepStream pipeline, I ensure your application runs at maximum FPS with low latency.
What I Offer:
• Environment Setup: JetPack, CUDA, cuDNN, OpenCV, PyTorch/TensorFlow installation.
• Model Optimization: Converting models to TensorRT (FP16/INT8) for 3x-10x speed improvements.
• DeepStream SDK: Building video analytics pipelines for multi-stream processing.
• Custom Logic: Integrating inference results with MQTT, Flask, or simple GPIO triggers.
Supported Hardware:
• Nvidia Jetson Nano / 2GB
• Jetson Orin Nano / NX
• Jetson AGX Xavier / Orin
Why Choose Me?
• Expert in Edge AI and hardware acceleration.
• Proven track record with .NET and embedded integration.
• Clean, documented code delivery.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, deeplearn.js, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
C++What's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 15 days |
Number of Revisions | 0 | 0 | |
AI Model Integration | - | ||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - |
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JZ
Jared Z.
Feb 14, 2026
NVIDIA Jetson GStreamer Developer: Video Sync Prototype (MUST OWN HARDWARE)
It was great working with Chidananda and hoping to work together again soon on our upcoming projects
AC
Akhilesh C.
Jan 12, 2026
Integrating API Response with WordPress Website
Chidananda and his team did an excellent job with the website and completed all the requirements on time, after giving accurate effort estimates and ETAs for completion. I will definitely look forward to working with them again in the future, and I strongly recommend them for their professionalism and quality of service. Kudos!
AT
Abhishek T.
Nov 26, 2025
Urgent: 8 html page template
RR
Ravi R.
Feb 22, 2025
Need help building a web app
GR
Good R.
Apr 8, 2024
Set up page in 3Js
About Chidananda
AI Architect, Full Stack, mobile and embedded developer
100%
Job Success
Bengaluru, India - 10:15 am local time
Bridging the gap between hardware, cloud, and modern AI.
With over 23 years of software engineering experience and 5+ years specialized in AI, I don't just write code—I architect complete, end-to-end ecosystems. My background spans from silicon-level embedded programming at industry giants like ZiLOG and Honeywell to building cutting-edge Generative AI and Edge Computing solutions for modern startups.
I specialize in "Edge AI"—bringing intelligence out of the cloud and onto devices. Whether you need a RAG system for complex data processing, a computer vision model running on an ESP32/Nvidia Jetson, or a full-stack Flutter application with voice capabilities, I deliver robust, scalable, and patent-worthy solutions.
Why work with me?
Deep Industry Roots: Experience with major players (Honeywell, Cricut, ZiLOG) and 2 filed patents.
Full-Cycle Architect: I handle everything from PCB-level constraints and firmware to Cloud AI APIs and mobile app UIs.
Agile & Reliable: Certified Scrum Master with a focus on System Engineering discipline—I deliver on time and budget.
Featured Projects & Case Studies
1. Edge AI & Embedded Vision
Smart IoT Vision System (ESP32-S3 & OV5640): Engineered a low-power IoT camera solution capable of on-device image capturing and processing. Handled driver integration and memory optimization for the ESP32 architecture.
Edge Computing Optimization (Nvidia Jetson): Architected AI solutions utilizing Edge GPUs and NPUs. Focused on migrating heavy cloud workloads to local hardware for reduced latency and offline capability.
Consumer Electronics (Honeywell & Cricut):
Architected a Next-Gen DAS (DIY Awareness & Security) device integrating Amazon Echo, Z-Wave, Zigbee, and proprietary wireless protocols.
Developed embedded firmware for an IoT Thermostat competing directly with Nest.
Led development for Universal Remote Controls and IR Blasters.
2. Generative AI (LLMs) & RAG Systems
RAG System for Insurance Processing: Designed and built a Retrieval-Augmented Generation (RAG) system to automate insurance claim analysis. The system ingests complex policy documents and provides accurate, context-aware answers to claims adjusters.
Voice-First AI Agents:
Resort Receptionist Agent: Developed a conversational AI voice agent to handle booking inquiries and guest services autonomously.
In-Car Voice Assistant: Architected a voice-command application for automotive use, enabling hands-free booking, shopping, and travel planning while driving.
Document Intelligence Engine: Led full-stack development of a tool using ChatGPT APIs to extract structured data from resumes and unstructured legal documents.
3. Full-Stack Web & Mobile Applications
HealthTech Mobile Platform ("Qavach" & "E-pad"): Developed comprehensive preventive healthcare solutions for children. Features include appointment booking, prescription digitization via camera (OCR), and secure cloud storage. Built using Flutter for mobile and AWS for the backend.
Digital Wellness App ("Disconnect Daily"): Created a gamified mobile application (Flutter) aimed at reducing screen time for children (ages 5-11). Worked closely with medical professionals to implement logic that promotes healthy digital habits.
Commercial Security Mobile App: Built a cross-platform Flutter app for managing commercial security systems, featuring real-time alerts and device management.
Technical Arsenal
🤖 Artificial Intelligence & Machine Learning
Generative AI: LLM Integration (OpenAI/ChatGPT, Gemini, DeepSeek, Llama, Mistral), RAG Pipelines, AI Agents.
Computer Vision: OpenCV, Object Detection, Face Recognition, On-device Vision.
Edge AI: Nvidia Jetson, NPU optimization, TinyML.
Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy.
📱 Full-Stack & Mobile
Mobile: Flutter (Dart), React Native, Kotlin, Swift.
Web: Node.js, React.js, Next.js, Python, PHP.
Databases: Google Firestore, PostgreSQL, MongoDB, MySQL
🔌 Embedded & IoT
Hardware: ESP32, 8/16/32-bit Microcontrollers, Raspberry Pi.
Protocols: MQTT, Z-Wave, Zigbee, BLE, Wi-Fi.
Languages: C, C++, Embedded C.
☁️ Cloud & DevOps
Platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP).
Tools: Docker, CI/CD Pipelines, Git.
Certifications & Governance
Patents: 2 Filed Patents (US 9743252 and US 20190221092).
Process: Certified Agile Scrum Master.
Governance: Expertise in AI Ethics, bias mitigation, and data privacy/security standards.
Steps for completing your project
After purchasing the project, send requirements so Chidananda can start the project.
Delivery time starts when Chidananda receives requirements from you.
Chidananda works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis:
We discuss your hardware setup and performance goals (FPS, Accuracy).
Environment Prep:
I set up the dependencies (JetPack, Drivers) on the device.