You will get AI Agent & LLM Systems | Multi-Agent Orchestration · RAG · Voice AI
Project details
Most AI features are just API calls wrapped in a UI. A button triggers a prompt, a response comes back, nothing changes in how the business runs.
What I build is different. I build AI systems that operate autonomously — planning tasks, using tools, retrieving knowledge, and completing multi-step workflows without human intervention at every step.
What I deliver:
→ Multi-agent orchestration: Commander + worker agent architecture
→ RAG pipelines: domain-specific knowledge retrieval with vector databases
→ Voice-native AI: systems that take input, reason, and respond via voice
→ Tool-using agents: agents that query your DB, call your APIs, send emails, generate reports
→ Hybrid LLM design: cloud + local models for intelligence without runaway costs
→ Microsoft Semantic Kernel integration for .NET systems
→ Production-grade: error handling, Polly circuit breakers, monitoring, retry logic
I've built production agentic systems at HiveGPT Inc. (USA) — autonomous B2B marketing agents — and — a Commander Architecture running daily business ops at ~90% lower cost than cloud-only equivalents.
Stack: Claude · OpenAI · Ollama · Qwen · Semantic Kernel · RAG · pgVector · Qdrant · FastAPI · .N
What I build is different. I build AI systems that operate autonomously — planning tasks, using tools, retrieving knowledge, and completing multi-step workflows without human intervention at every step.
What I deliver:
→ Multi-agent orchestration: Commander + worker agent architecture
→ RAG pipelines: domain-specific knowledge retrieval with vector databases
→ Voice-native AI: systems that take input, reason, and respond via voice
→ Tool-using agents: agents that query your DB, call your APIs, send emails, generate reports
→ Hybrid LLM design: cloud + local models for intelligence without runaway costs
→ Microsoft Semantic Kernel integration for .NET systems
→ Production-grade: error handling, Polly circuit breakers, monitoring, retry logic
I've built production agentic systems at HiveGPT Inc. (USA) — autonomous B2B marketing agents — and — a Commander Architecture running daily business ops at ~90% lower cost than cloud-only equivalents.
Stack: Claude · OpenAI · Ollama · Qwen · Semantic Kernel · RAG · pgVector · Qdrant · FastAPI · .N
AI Algorithms
AlexNet, Deep Belief Network, Feedforward Neural Network, Generative Adversarial Network, Linear Discriminant Analysis, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI-Enhanced Classification, AI-Enhanced Medical Imaging, Automatic Speech Recognition, Conversational AI, Image Recognition, Natural Language Understanding, Object Detection, Object Localization, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, Jasper AI, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, BERT, BLOOM, Dolly, GPT-4, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included $10,000
These options are included with the project scope.
$10,000
- Delivery Time 21 days
- Number of Revisions 2
- AI Model Integration
- Batch Normalization
- Database Integration
- Detailed Code Comments
- Model Deployment
- Model Monitoring
- Model Tuning
- Natural Language Processing
- NLP Tokenization
- Prompt Engineering
- Setup File
Optional add-ons
You can add these on the next page.
Fast 14 Days Delivery
+$1,500
Additional Revision
+$1,000Frequently asked questions
25 reviews
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LD
Lokesh D.
Jun 19, 2026
Senior AI Systems Architect -
Full-Spectrum Automation with Zero-Hallucination, multi LLMs Orch
Vijay didn't just complete the project, he elevated it. His ability to architect complex AI systems, eliminate bottlenecks, reduce hallucinations, and create intelligent orchestration layers was remarkable. The final solution was robust, scalable, and far beyond initial expectations. One of the strongest AI engineering professionals we've worked with.
LD
Lokesh D.
May 27, 2026
AI Developer for RAG and Knowledge Bases with using Nextjs, Python and .NetCore APIs
Vijay... is a highly skilled and refined Professional with strong technical skills and commitment. He takes care of my complex <Web and mobile Development project - using RAG, Agentic AI, React, .NetCore WebAPIs, multi LLMs orchestration, ultimate UI/UX and Backend Functions> requirements and completed the delivery on time and of high quality. Will continue to work with him on upcoming projects. Thanks Vijay
RL
Ramesh L.
Jan 23, 2017
WCF expert
Vijay is very good freelancer and completes work on time with greater quality. Will hire him again.
EJ
Ethan J.
May 9, 2016
Creation of a customer driven dynamic grids or views of data
VP
Vijay P.
Feb 27, 2015
ASP MVC5 CodeFirst AZURE Jquery Webpage
Thanks Vijay for your work!
About Vijay
AI Integration Engineer | .NET + Next.js SaaS | LLM Costing | CTO
100%
Job Success
Nathdwara, India - 8:54 am local time
My focus: integrating LLMs, automating workflows, and modernizing .NET or Node.js backends so your product works smarter and costs less to run.
─── What I do ───
→ Add AI features (chat, document parsing, lead automation, voice workflows) to existing SaaS products
→ Architect hybrid LLM systems using local models (Ollama + Qwen) + cloud APIs (Claude, OpenAI) to cut AI costs by 40–70%
→ Build and modernize .NET Core 8/10 APIs, Next.js 15 frontends, Angular 16–20 dashboards
→ Design multi-tenant SaaS architecture, PostgreSQL schemas, pgVector RAG pipelines
→ Act as a Fractional CTO for small SaaS teams who need senior technical leadership without full-time cost
─── My stack ───
Backend: .NET Core 8/10, Node.js, PostgreSQL, MS SQL, MongoDB
Frontend: Next.js 15, Angular 16–20, React, React Native
AI/LLM: Claude API, OpenAI, Ollama, Qwen, Semantic Kernel, RAG, pgVector, multi-agent pipelines
Infra: Azure, Supabase, Firebase, Docker
─── Why clients choose me ───
18+ years delivering enterprise software across India, USA, and UK. I have held senior roles at HiveGPT Inc. (USA) and Social27 (Seattle). I understand what enterprise clients need — security, scalability, and delivery that doesn't slip.
I work with a small, focused team. You get senior-level architecture and clean code — not juniors pretending to be seniors.
If you need someone who can look at your existing product, identify exactly where AI adds value, and implement it without breaking what already works — let's talk.
→ Message me "AUDIT" — I'll review your project and tell you exactly what architecture decisions will matter most.
Steps for completing your project
After purchasing the project, send requirements so Vijay can start the project.
Delivery time starts when Vijay receives requirements from you.
Vijay works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Design
Define agent roles, tools, memory strategy, and LLM routing. Deliver a documented architecture blueprint — agent hierarchy, data flows, tool definitions, cost model — before any code is written.
Build & Integrate
Implement agents, RAG pipeline, tool integrations, and orchestration layer. Wire into your existing stack via .NET Core / FastAPI / Semantic Kernel. Weekly demos so you see progress, not just code.