You will get a reliable AI agents and automated workflows for your business
Project details
Fully-autonomous agents look amazing in a demo and then break, stall, or blow up your API bill in production. The teams winning with AI aren't chasing maximum autonomy ā they're building orchestrated workflows where software controls the process and AI contributes intelligence at the right moments. That's what I build.
15+ years of engineering, an AI studio founder, with real experience making automation reliable and governable ā not just clever.
What you get:
š¹ AI agents and multi-step workflows that automate real operational tasks
š¹ Orchestration that's predictable, observable, and cost-controlled
š¹ Integrations with your existing tools (APIs, CRMs, databases, Slack, email)
š¹ MCP (Model Context Protocol) implementations for secure data access
š¹ Error handling, logging, and clear documentation
Tech: LangGraph, OpenAI / Claude, n8n / Make, FastAPI, Python, MCP, vector DBs.
Best for: customer support automation, document processing, internal ops, sales/lead workflows, and anyone who's been burned by an "autonomous agent" that wasn't reliable enough to trust.
15+ years of engineering, an AI studio founder, with real experience making automation reliable and governable ā not just clever.
What you get:
š¹ AI agents and multi-step workflows that automate real operational tasks
š¹ Orchestration that's predictable, observable, and cost-controlled
š¹ Integrations with your existing tools (APIs, CRMs, databases, Slack, email)
š¹ MCP (Model Context Protocol) implementations for secure data access
š¹ Error handling, logging, and clear documentation
Tech: LangGraph, OpenAI / Claude, n8n / Make, FastAPI, Python, MCP, vector DBs.
Best for: customer support automation, document processing, internal ops, sales/lead workflows, and anyone who's been burned by an "autonomous agent" that wasn't reliable enough to trust.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$200
|
Standard
$750
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 4 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Frequently asked questions
About Syed
AI Engineer | RAG, AI Agents | Data Pipelines & SaaS | 16 yrs Exp
Dubai, United Arab EmiratesĀ - 10:04 pm local time
From designing multi-tenant architectures to leading large-scale integrations, Iāve seen firsthand how technical complexity often blocks business growth.
That insight led me to found Sift Tech LLC, a UAE-based technology partner helping organizations turn complexity into scalable, impact-ful solutions. We specialize in AI-driven product innovation and full-scale software development, guiding ideas from MVP to enterprise-grade systems.
Iām passionate about bridging the gap between whatās possible and whatās profitable, leveraging deep technical expertise to build products that not only workābut scale, perform, and deliver real business value.
What I help clients with:
š¹ RAG & Graph-RAG systems ā retrieval that handles real, multi-part questions across scattered documents, not naive single-chunk lookup
š¹ AI agents & orchestrated workflows ā reliable, governable automation (not runaway agent loops)
š¹ LLM apps & integration ā tool calling, MCP implementations, fine-tuning & LLMOps
š¹ Data engineering ā real-time ETL pipelines, vector DB optimization, knowledge graphs
š¹ Data cleaning & transformation ā messy spreadsheets/CSVs ā clean, structured, query-ready data
š¹ Scalable SaaS ā multi-tenant architecture, secure APIs, enterprise cloud infrastructure (Kubernetes, Kafka, cloud-native)
Why clients work with me: I've shipped real production systems in regulated environments (banking/fintech) where "close enough" fails. I bring that same rigor; security, data lineage, edge-case reliability; to AI work that most people only get to the prototype stage.
How I work:
Quick discovery call ā scoped plan with milestones ā build in sprints with regular demos ā clean handover with docs. Clear communication, honest timelines, and a fixed-scope option if you'd rather start small.
š© Send me a sentence or two about your problem or something you want to build and I'll tell you honestly whether I'm the right fit; and roughly what it takes to solve it.
Steps for completing your project
After purchasing the project, send requirements so Syed can start the project.
Delivery time starts when Syed receives requirements from you.
Syed works on your project following the steps below.
Revisions may occur after the delivery date.
Map the workflow & confirm scope
I review your process, trigger, and tools, then confirm the build plan ā including which steps the software controls and where the AI contributes ā and flag any integrations that need access or setup.
Build the core workflow & integrations
I build the orchestration logic and connect your tools (APIs, database, CRM, messaging). The software drives the process; the model handles the reasoning steps ā predictable and cost-controlled by design.