You will get the Core Architecture for Your AI Product (Memory + Monetization)
Top Rated
Top Rated
Project details
If you’re building an AI product, I’ve seen this pattern over and over: the model works, but the system around it doesn’t.
Products fail because memory isn’t structured properly, state isn’t defined, monetization is bolted on later, or governance becomes a liability when real users arrive. It’s rarely the LLM. It’s the architecture.
We design AI systems the way they need to be built for production from day one.
That means defining agent structure, long-term memory, persistence strategy, entitlement logic, data boundaries, and infrastructure decisions before a single line of scaling code is written.
This isn’t surface-level LLM advice. You get a structured technical blueprint with diagrams, canonical schemas, and a clear implementation roadmap your team can execute without guesswork.
I think in systems, not prompts.
If you want to build AI that survives real usage, real scale, and real monetization: this is where we start.
Products fail because memory isn’t structured properly, state isn’t defined, monetization is bolted on later, or governance becomes a liability when real users arrive. It’s rarely the LLM. It’s the architecture.
We design AI systems the way they need to be built for production from day one.
That means defining agent structure, long-term memory, persistence strategy, entitlement logic, data boundaries, and infrastructure decisions before a single line of scaling code is written.
This isn’t surface-level LLM advice. You get a structured technical blueprint with diagrams, canonical schemas, and a clear implementation roadmap your team can execute without guesswork.
I think in systems, not prompts.
If you want to build AI that survives real usage, real scale, and real monetization: this is where we start.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, NVIDIA AI Platform, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$799
|
Standard
$1,599
|
Advanced
$3,499
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 2 |
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.
Implementation Roadmap
(+ 5 Days)
+$500
Clear technical handoff spec for dev team including milestones.
(+ 7 Days)
+$700
Architecture Review Call (60 mins)
(+ 1 Day)
+$300Frequently asked questions
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JL
JONATHAN L.
May 30, 2026
Automation Specialist – Solar Lead Capture + PDF Report (Make.com)
Siddharth is professional, responsive and fast.
CS
Calvin S.
Mar 26, 2026
📢 AI Voice & SMS Automation Developer
Sid was great to work with - very responsive, knowledgeable, and delivered exactly what was needed. He implemented a time-zone based calling system to ensure compliance and everything works as expected. Communication was smooth throughout the project. Would definitely recommend and work with him again.
NL
Norman L.
Feb 24, 2026
Mobile APP Developer (Product Refinement & Long-Term Role)
He reviewed app as he was supposed. Contract ended.
RP
Raphael P.
Jan 8, 2026
Simple iOS MVP (API Call + Image Output) — Test Project for Long-Term Work
Sidd followed instructions and delivered promptly. He did a great job and made sure to rectify any problems. 5 stars.
MN
Michael N.
Dec 24, 2025
AI/Automation Engineer Needed for Medical Lecture Transcription
Siddharth is an excellent engineer. He built a high-quality transcription pipeline for a complex medical project and delivered very accurate results including JSON, SRT, and Word documents. He has a deep understanding of AI workflows and was very professional throughout the pilot phase. I highly recommend him for any Python or AI automation tasks.
About Siddharth
AI Systems Architect | AI Agents | Automation | AI-Powered Apps | RAG
97%
Job Success
Bengaluru, India - 12:41 am local time
🎓 Master's in Computer Science
🏆 Top Rated Plus Freelancer
⭐ 12,500+ Hours Worked
✅ AI Products and Apps • AI Agents • RAG • Computer Vision • Automation
Some businesses reach me because their AI projects failed. And in every case I have noticed: 𝐭𝐡𝐞 𝐬𝐮𝐫𝐫𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦 𝐰𝐚𝐬𝐧'𝐭 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐩𝐫𝐨𝐩𝐞𝐫𝐥𝐲.
And worst of all, in some cases an AI agent wasn't connected to the right workflows, data, validation layers, and business rules. And user experience too were rarely creating meaningful business value.
𝐀𝐍𝐃 𝐓𝐇𝐀𝐓'𝐒 𝐖𝐇𝐄𝐑𝐄 𝐈 𝐇𝐄𝐋𝐏:
I (and sometimes my team) work with founders, startups, and growing businesses to design and build AI systems that operate inside real-world environments.
Systems we built help teams automate workflows, retrieve knowledge, support decisions, qualify leads, process data, and scale operations.
𝐋𝐄𝐓'𝐒 𝐋𝐎𝐎𝐊 𝐀𝐓 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊:
✔ Enterprise AI Retrieval Platform combining RAG, NL2SQL, schema linking, validation layers, and intelligent query generation
✔ AI-Powered Career Intelligence Platform used to generate personalized resumes, career recommendations, and job application content
✔ Compliance-Aware AI Email Agent for automated outreach, qualification, and response management
✔ AI Voice Agent systems for lead engagement, qualification, and workflow automation
✔ Computer Vision solutions using YOLO, GPT Vision, and custom AI pipelines
✔ AI-powered automation ecosystems integrating OpenAI, Claude, CRMs, Slack, databases, APIs, and business workflows
✔ AI-powered mobile and web applications used by real customers
𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐓𝐘𝐏𝐈𝐂𝐀𝐋𝐋𝐘 𝐂𝐎𝐌𝐄 𝐓𝐎 𝐌𝐄 𝐖𝐇𝐄𝐍:
• They want to build an AI product from scratch
• They have an AI prototype that now needs production architecture
• They want AI integrated into an existing application
• They need RAG, AI agents, automation, or knowledge systems connected to business workflows
• They want technical guidance before making significant development investments
𝐌𝐘 𝐀𝐑𝐄𝐀𝐒 𝐎𝐅 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄:
• AI Agent Development
• Workflow Automation using n8n, Make, and Zapier
• Retrieval-Augmented Generation (RAG)
• OpenAI & Claude Integrations
• Voice AI Systems
• Computer Vision
• AI-Powered SaaS Products
• Mobile & Web Applications
• Product Architecture & System Design
• API Integrations
• Multi-Agent Systems
• Cloud Infrastructure
What clients often appreciate most is that I start with the business objective than technology.
Then I work backwards to determine whether the right solution is an AI agent, RAG platform, workflow automation, computer vision system, AI-powered application, or a combination of multiple systems working together.
So, if you're exploring an AI product, internal copilot, AI agent, automation platform, RAG solution, computer vision application, or AI-powered SaaS product, feel free to reach out.
I'm happy to discuss the idea, challenge assumptions where needed, and help identify the most practical path to building it successfully.
Technologies and solutions I frequently work with:
AI Agents • AI Integration • OpenAI • Claude • GPT • RAG • Workflow Automation • Make • n8n • Zapier • LangChain • Computer Vision • AI SaaS Development • AI Product Development • Voice AI • Multi-Agent Systems • API Integrations • Mobile Apps (iOS & Android) • Web Applications • Cybersecurity
Steps for completing your project
After purchasing the project, send requirements so Siddharth can start the project.
Delivery time starts when Siddharth receives requirements from you.
Siddharth works on your project following the steps below.
Revisions may occur after the delivery date.
Technical & Product Deep Dive
I analyze your product idea, users, constraints, and business model to identify architecture implications.
AI System Design Blueprint
Design of: - AI agent structure - Memory model (if needed) - Data architecture - Model selection strategy - Persistence + governance layer