You will get an LLM developer | OpenAI developer | GenAI developer | VoiceAI developer
Rising Talent

Project details
We bring your ideas to life with powerful LLM, OpenAI, GenAI, and Voice AI solutions tailored to your needs. Whether itโs a chatbot, custom AI app, or full-scale deployment, Iโll help you build it smart, fast, and scalable.
๐๐ก๐๐ญ ๐๐จ๐ฎโ๐ฅ๐ฅ ๐๐๐ญ:
Custom LLM/ChatGPT integration for apps & websites
Generative AI apps (text, content, or workflow automation)
Voice AI solutions with speech-to-text & text-to-speech
LangChain / RAG pipelines for advanced AI workflows
API & Database integration for real-world use
Cloud deployment on AWS, Azure, or GCP
Clear documentation & friendly support
๐๐๐๐ก ๐๐ญ๐๐๐ค:
OpenAI | GPT-4 | Whisper | LangChain | RAG | Hugging Face | Transformers | Stable Diffusion | Python | JavaScript | Node.js | React | Next.js | FastAPI | Flask | TensorFlow | PyTorch | Keras | Bubble.io | WordPress | AWS | Azure | GCP | Twilio (Voice) | Google Speech-to-Text | Amazon Polly | Dialogflow | Firebase
๐๐ก๐๐ญ ๐๐จ๐ฎโ๐ฅ๐ฅ ๐๐๐ญ:
Custom LLM/ChatGPT integration for apps & websites
Generative AI apps (text, content, or workflow automation)
Voice AI solutions with speech-to-text & text-to-speech
LangChain / RAG pipelines for advanced AI workflows
API & Database integration for real-world use
Cloud deployment on AWS, Azure, or GCP
Clear documentation & friendly support
๐๐๐๐ก ๐๐ญ๐๐๐ค:
OpenAI | GPT-4 | Whisper | LangChain | RAG | Hugging Face | Transformers | Stable Diffusion | Python | JavaScript | Node.js | React | Next.js | FastAPI | Flask | TensorFlow | PyTorch | Keras | Bubble.io | WordPress | AWS | Azure | GCP | Twilio (Voice) | Google Speech-to-Text | Amazon Polly | Dialogflow | Firebase
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Chainer, deeplearn.js, Deeplearning4j, Google AutoML, MATLAB, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$299
|
Standard
$599
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 10 | 15 | 20 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | |||
Source Code | |||
Taxonomy |
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KN
Khusham Ahmad N.
Jun 11, 2026
AI Workflow Review+Small Automation
Great experience working with this highly skilled team. We will definitely collaborate again in the future.
KN
Khusham Ahmad N.
May 11, 2026
AI Senior Developer
Highly recommended! Very skilled and professional person. Delivered the work on time with great quality and attention to detail.
About Rao
Software Architect & AI Engineer | SaaS | AI Integration
Manassas, United Statesย - 10:43 am local time
I founded Techverx LLC in 2010. Since then, I've designed and shipped production systems for companies in fintech, healthtech, B2B SaaS, logistics, and IoT; from greenfield architecture to AI integration into existing products, to recovering builds that previous teams left broken. I step in at the stages that matter: functional mapping, system architecture, MVP delivery, performance engineering, AI integration, and legacy modernization.
WHAT I BUILD
Custom SaaS platforms ยท AI/ML systems (LLMs, RAG, NLP, predictive analytics) ยท Full-stack web applications ยท Scalability and architecture redesigns ยท Legacy system modernization ยท Data engineering pipelines ยท IoT device-to-cloud solutions
I also build for regulated environments: HIPAA-compliant healthtech systems, PCI-aware fintech platforms, SOC2-ready infrastructure, RBAC/ABAC access controls, audit logs, and secure API design.
Stack: Python ยท React/Next.js ยท Node.js ยท Django/FastAPI ยท PostgreSQL ยท MongoDB ยท TensorFlow ยท PyTorch ยท LangChain ยท OpenAI API ยท AWS ยท GCP ยท Docker ยท Kubernetes ยท Terraform
HOW I WORK
Scoping and acceptance criteria before code. Architecture decisions documented and explained in plain terms. Daily communication on active builds. You own everything; code, infrastructure, documentation. Clean handoff at close.
Fixed-price milestones for scoped builds. Hourly for architecture reviews, AI integration work, or ongoing engineering.
If your project needs to be built right, or needs to be recovered, send your requirements.
Steps for completing your project
After purchasing the project, send requirements so Rao can start the project.
Delivery time starts when Rao receives requirements from you.
Rao works on your project following the steps below.
Revisions may occur after the delivery date.
Understand your goals: Weโll clarify your AI use case and desired outcome.
Plan the solution: Choose the right LLM/GenAI tools, APIs, and workflow.