You will get AGENTIC AI WORKFLOW STUDIO


Project details
I build custom AI workflow systems that help businesses automate real operational work across multiple steps, tools, documents, and decisions. This is ideal for teams that need more than a chatbot and want a practical AI solution they can actually use and expand.
My approach focuses on business outcomes first. I start by understanding your workflow, bottlenecks, and success goals, then design an AI-powered solution tailored to your process. The result is a clean, scalable system built for long-term value, not a one-time prototype.
Why work with me:
• 12+ years in software engineering
• 8+ years building AI/ML systems
• Strong experience in workflow automation and enterprise platforms
• Production-minded architecture
• Clear communication and structured delivery
• Tailored solutions, not generic templates
My approach focuses on business outcomes first. I start by understanding your workflow, bottlenecks, and success goals, then design an AI-powered solution tailored to your process. The result is a clean, scalable system built for long-term value, not a one-time prototype.
Why work with me:
• 12+ years in software engineering
• 8+ years building AI/ML systems
• Strong experience in workflow automation and enterprise platforms
• Production-minded architecture
• Clear communication and structured delivery
• Tailored solutions, not generic templates
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, PyTorchAI Models
GPT-3, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$10,000
|
Standard
$20,000
|
Advanced
$30,000
|
|---|---|---|---|
| Delivery Time | 30 days | 15 days | 7 days |
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
+$1,000 - $2,000Frequently asked questions
About Anjali
Applied AI Engineer
Okemos, United States - 2:28 am local time
I design and build end-to-end AI platforms using LLMs, retrieval systems (RAG), and agent-based orchestration — focusing on scalability, reliability, cost efficiency, and real-world deployment across enterprise systems.
My work sits at the intersection of AI architecture, distributed systems, and product engineering, where I transform complex operational workflows into automated, intelligent systems that handle real production load.
What I do best:
Build large-scale LLM systems and agentic workflows with multi-step reasoning and tool execution
Design RAG architectures for high-accuracy retrieval across structured and unstructured data
Develop AI orchestration platforms that power enterprise-level decision workflows
Engineer backend systems (Python, FastAPI, Node.js) for high-throughput AI workloads
Design cloud-native architectures across AWS, Azure, and GCP
Convert massive, unstructured datasets into structured, decision-ready intelligence
Engineering focus:
Production-first system design (not prototypes or demos)
High scalability and fault-tolerant architecture
Low-latency, cost-optimized LLM pipelines
Robust evaluation, monitoring, and feedback-driven improvement
Reliable deployment in real-world, high-stakes environments
I typically work with organizations building or scaling AI-driven platforms that require strong architecture, reliability, and performance at scale — not experimental AI demos.
If you’re looking for someone who can design, build, and deploy end-to-end AI systems that actually work in production and scale under real-world constraints, I can help you deliver that.
Steps for completing your project
After purchasing the project, send requirements so Anjali can start the project.
Delivery time starts when Anjali receives requirements from you.
Anjali works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Discovery
Review your workflow, goals, tools, and success criteria.
Solution Design
Define the workflow logic, AI features, integrations, and delivery plan.






