You will get a Custom AI Agent & Agentic Workflow with LangGraph, MCP & Tool Use
Top Rated
Project details
Get a custom AI agent and agentic workflow built end-to-end by a senior AI engineering team. We design production-ready autonomous agents using LangGraph, LangChain, MCP (Model Context Protocol), and structured tool use, integrated with the LLMs you prefer (OpenAI, Anthropic Claude, open-source). From single-agent assistants to orchestrated multi-agent systems, we handle agent architecture, tool and API integration, RAG over your private data, memory, guardrails, and reliable error handling. As Adept Tech Solutions, our agency delivers clean Python code, testing, documentation, deployment, and ongoing support so your AI agent is accurate, scalable, and ready for real business workflows. Whether you are automating research, support, lead generation, data tasks, or internal operations, we ship agents that actually work in production.
AI Development Type
Deep Learning, Knowledge RepresentationAI Tools
Amazon SageMaker, Azure Machine LearningAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
96 reviews
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Damien M.
Jun 25, 2026
Governance and Compliance Program Development for Optometric Practices
Ali is an outstanding AI agent developer and full stack AI SaaS developer. I hired him to build a multi-state clinical governance and compliance platform for healthcare (optometry/ophthalmology) using Airtable and Make (Integromat), with OpenAI integration, and he delivered beyond expectations. He built a clean, HIPAA-conscious database, automated workflows for incident escalation, risk scoring, and monthly compliance reporting, integrated OpenAI/AI agents to generate professional governance reports, and connected Google Docs for automated PDF reports. The executive dashboard he built makes the entire healthcare compliance system easy to monitor with zero technical expertise.
His communication was excellent. He understood the healthcare, HIPAA, and compliance context quickly, asked the right questions, and delivered on time. If you need a top-tier AI automation, no-code/low-code, or full stack AI SaaS developer for healthcare or compliance projects, Ali is the person to hire. Highly recommended, and I'll work with him again without hesitation. Thank you, Ali!
His communication was excellent. He understood the healthcare, HIPAA, and compliance context quickly, asked the right questions, and delivered on time. If you need a top-tier AI automation, no-code/low-code, or full stack AI SaaS developer for healthcare or compliance projects, Ali is the person to hire. Highly recommended, and I'll work with him again without hesitation. Thank you, Ali!
HB
Hugo B.
Apr 25, 2026
Senior Full-Stack Developer, AI SaaS Platform (Spring Boot + React), €6000 Budget, SPANISH MARKET
Ali delivered an incredibly complex project — a full AI-powered SaaS for hair salons — with clean code, great communication, and zero shortcuts. He understood the vision from day one and brought it to life exactly as planned. If you're building something ambitious, he's the right person for the job.
CM
Chicagomedicalgroup M.
Feb 26, 2026
30 minute consultation
We enjoyed working with Ali. As he was very detail oriented. And thorough
SK
Satanay K.
Dec 2, 2025
MVP Developer for AI-Powered Messaging Tool (Voice Notes → Translated Parent Updates)
Working with Ali and his team at Adept Tech Solutions Agency has been one of the best experiences I’ve had on Upwork. From the very beginning, they demonstrated a level of professionalism, communication, and dedication that is rare to find. My project is complex — involving AI transcription (Whisper), multilingual translation, smart automation, Supabase, Twilio SMS delivery, role-based dashboards, and a full admin system - and Ali approached every feature with clarity, care, and confidence.
What impressed me most is how proactive he and his team are. They don’t just “build what you say.” They think ahead, anticipate issues, and offer well-reasoned solutions that genuinely strengthen the product. Their understanding of both technical architecture and real-world usability has saved me time, money, and countless headaches.
Communication has been exceptional. Ali responds quickly, provides clear explanations, and keeps me fully updated on progress. Any questions I had were handled with patience and detail, and every milestone was delivered exactly when promised, often faster. They are organized, consistent, and incredibly reliable.
The quality of work is outstanding. The MVP they built is polished, stable, and exceeds what I envisioned. Each feature was implemented thoughtfully, with clean logic, smart edge-case handling, and a clear foundation for future growth. It’s rare to find a team that blends technical skill, product thinking, and genuine care for the outcome - Ali’s team does all three.
On top of all that, they’re simply a pleasure to work with. Respectful, kind, flexible, and truly invested in my product’s success. I never once felt like “just another client.” I felt like I had a real partner who wanted the product to thrive just as much as I did.
I’m incredibly grateful for the work Ali and his team have done so far, and I absolutely plan to continue working with them as the product evolves. Anyone considering hiring Ali should feel completely confident - you’ll be in excellent hands.
Highly, highly recommended.
What impressed me most is how proactive he and his team are. They don’t just “build what you say.” They think ahead, anticipate issues, and offer well-reasoned solutions that genuinely strengthen the product. Their understanding of both technical architecture and real-world usability has saved me time, money, and countless headaches.
Communication has been exceptional. Ali responds quickly, provides clear explanations, and keeps me fully updated on progress. Any questions I had were handled with patience and detail, and every milestone was delivered exactly when promised, often faster. They are organized, consistent, and incredibly reliable.
The quality of work is outstanding. The MVP they built is polished, stable, and exceeds what I envisioned. Each feature was implemented thoughtfully, with clean logic, smart edge-case handling, and a clear foundation for future growth. It’s rare to find a team that blends technical skill, product thinking, and genuine care for the outcome - Ali’s team does all three.
On top of all that, they’re simply a pleasure to work with. Respectful, kind, flexible, and truly invested in my product’s success. I never once felt like “just another client.” I felt like I had a real partner who wanted the product to thrive just as much as I did.
I’m incredibly grateful for the work Ali and his team have done so far, and I absolutely plan to continue working with them as the product evolves. Anyone considering hiring Ali should feel completely confident - you’ll be in excellent hands.
Highly, highly recommended.
JD
Jean-Francois D.
Oct 1, 2025
ML Engineer
Working with Ali was a great experience. He is a skilled ML engineer who delivered quality results on time. His problem-solving ability. I’d gladly work with him again and recommend him to others in the Upwork community.
About Ali
AI Agent & RAG Developer | LangChain, LangGraph, MCP | Ships to Prod
100%
Job Success
Lahore, Pakistan - 4:15 am local time
I architect and build every system myself, with 16,000+ hours of delivery behind me across healthcare, fintech, SaaS, and real estate, so you're talking to the person who's actually designing your system, not a project manager passing notes back and forth.
Most AI projects break in the same place. The demo works great. Then the first hundred real users show up, and things start coming apart: the architecture buckles under load, the token bill gets out of hand, and it turns out retrieval was never really tuned. I build to get past that point. You get a staging environment in week one, a working demo every week, and a system that holds up under actual traffic and clears whatever compliance bar your industry sets.
📊 A few recent production systems:
→ AI-powered SaaS for the Spanish market (Spring Boot + React) — full multi-tenant platform delivered end-to-end.
→ AI messaging platform with real-time voice translation. Zero to paying users in 5 weeks.
→ Multi-agent AI workforce for enterprise ops: four autonomous agents handling inventory, marketing, and operational decisions.
→ Agentic RAG processing 500+ documents daily for a financial services firm, cutting user discovery time by 93%.
→ Voice AI for a daycare network. Saved them $24K a year. Built and deployed in 3 weeks.
→ HIPAA-aware AI triage in a regulated healthcare environment, currently saving the client $300K+ annually.
Also in production: RAG assistants for telehealth, LLM-based call analysis across 40+ parameters, AI agents for real estate sales teams, AI knowledge bases for clinicians, document processing for investment analysts, and real-time voice AI avatars for medical education.
⭐⭐⭐⭐⭐ "He did not simply 'deliver a project'—he architected an entire AI-powered SaaS ecosystem from concept to deployment. What sets him apart is his ability to think like both a CTO and a product strategist."
— Michael McGehee, Founder & CEO at FreeTrials
⭐⭐⭐⭐⭐ "His ability to bridge strategy and innovation makes him a strong asset for any deep AI/ML-related position."
— Louis A. E., CTO at GO, Founder at Web2 Web3
🔧 What I build
→ AI Agent Development and Multi-Agent Systems with LangChain, LangGraph, CrewAI, and MCP. Workflows with human-in-the-loop approvals, autonomous task execution, and tool orchestration.
→ RAG Pipelines and AI Knowledge Bases on LlamaIndex, Pinecone, Weaviate, pgvector, and Qdrant. Citation tracking, hybrid search, and the unglamorous retrieval tuning that's usually the difference between a demo and something you can actually ship.
→ AI Chatbots and Conversational AI on OpenAI, Claude, DeepSeek, Mistral, Llama, and open-source stacks. Conversation memory, escalation rules, and CRM or helpdesk integration.
→ AI SaaS and MVP Development end-to-end, on React, Next.js, TypeScript, Python, FastAPI, PostgreSQL, and AWS or GCP.
→ AI Voice Agents on Vapi, Retell AI, Twilio, and ElevenLabs. Real-time processing, appointment booking, CRM sync.
→ AI Integration and Workflow Orchestration with n8n, Make, and custom Python pipelines connecting LLMs to HubSpot, Salesforce, Zendesk, Google Workspace, and whatever else your team already lives in.
→Machine Learning & Predictive Systems — NLP, computer vision, forecasting, and anomaly detection on PyTorch and TensorFlow.
⚙️ How I work
Architecture, build, deploy, monitor. I lead the work end-to-end. MVPs go live in 2–3 weeks. Larger enterprise builds are structured around milestones, with weekly demos and a working staging environment from day one. Every deployment ships with CI/CD, monitoring, documentation, encrypted data handling, and 30 days of post-launch support. There's no PM filtering things.
🔒 More than engineering when you need it
When a build needs it, I bring in vetted specialists: cloud and DevOps (AWS, Azure, GCP, Docker, Kubernetes, CI/CD), security and compliance (vCISO, SOC 2, ISO 27001, HIPAA, PCI DSS), and dedicated QA automation. You scope, build, secure, and test inside one engagement.
🎓 Credentials
PhD in Generative AI and Reinforcement Learning (NUST). MEng in Machine Learning and Deep Learning. AWS Certified AI Practitioner. Upwork Python Skill Certified.
📩 Next step
Send me a brief: what you're building, the problem it solves, and your timeline. Within 24 hours, you'll get a technical architecture outline and a straight read on scope. If you'd rather talk first, book a paid Architecture Review, and you'll walk out of the call with a written roadmap.
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Agent Design
We map your use case, tools, and data, then design the agent architecture and workflow (LangGraph/LangChain, MCP, RAG).
Build, Integrate & Test
We build the agent, connect tools/APIs and your LLM, add memory and guardrails, then test for accuracy and reliability.