You will get AI System Production Readiness Audit, a Written Report in 48 Hours
Rising Talent

Rising Talent

Project details
Your AI system works in the demo. But does it hold up when 50 users hit it at once? When the LLM API is slow? When a user asks something it wasn't trained on?
I've built and shipped 3 production AI systems namely voice AI, multi-tenant RAG, and multi-agent orchestration. I know exactly where these systems break, and I can find the gaps in yours before your users do.
You get a written report covering 8 risk areas: reliability, observability, latency, output quality, grounding, cost, security, and scale. Each finding includes what’s wrong, why it matters, a specific fix, and an effort estimate. No code access required for the Standard tier.
I've built and shipped 3 production AI systems namely voice AI, multi-tenant RAG, and multi-agent orchestration. I know exactly where these systems break, and I can find the gaps in yours before your users do.
You get a written report covering 8 risk areas: reliability, observability, latency, output quality, grounding, cost, security, and scale. Each finding includes what’s wrong, why it matters, a specific fix, and an effort estimate. No code access required for the Standard tier.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, AIOps, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 0 | 1 | 1 |
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.
Fast Delivery
+$150 - $200Frequently asked questions
About Venkata
I ship production grade AI solutions namely Voice AI, RAG, Multi-Agent
Dublin, United States - 3:02 am local time
What I build:
• Real-time voice agents (sub-second response, under 800ms pipeline latency)
• Speech-to-speech (S2S) and pipeline-based voice architectures (STT to LLM to TTS)
• RAG systems with guardrails and source attribution
• Agentic workflows with tool-calling and multi-step orchestration
• AI observability and LLM evaluation pipelines
What sets me apart:
Most voice AI engineers optimize for demos. I optimize for production. The key insight I bring: S2S systems optimize for latency, but pipeline architectures optimize for control and reliability, and latency can be tuned in a pipeline, but control cannot be retrofitted into S2S. I help clients choose the right architecture and build it to scale.
What I've shipped:
• spaxialiq.ai: live voice conversational AI platform with real-time inference (WebSockets/SSE), Deepgram STT, and multi-model TTS; production-ready with sub-800ms total pipeline latency
• thinkinggym.ai, a voice AI coaching platform with adaptive LLM responses, ELO-style skill scoring, and real-time feedback
• Japanese to English AI voice translation (and reverse), real-time multilingual voice system in production
20+ years of backend and systems engineering across AWS, GCP, and Azure and now focused full-time on production AI.
Want to discuss your voice AI system? Send me a message and let's figure out what you're actually building.
Steps for completing your project
After purchasing the project, send requirements so Venkata can start the project.
Delivery time starts when Venkata receives requirements from you.
Venkata works on your project following the steps below.
Revisions may occur after the delivery date.
Fill Intake Form
Complete the 5-question intake form (takes 10 minutes — sent immediately after purchase)
Review intake form Responses
I review your answers and map findings to 8 risk categories within the delivery window