You will get Startup to Enterprise AI Architecture Rescue Package
Project details
I rescue failing enterprise AI projects that have been stuck for 12+ months. While most consultants deliver reports and leave, I rebuild your architecture, create production-grade documentation, and give you a clear roadmap to deployment.
What sets me apart:
I'm both a technical architect (R&D Project Manager defining AI/ML systems) and business strategist (Co-Founder driving B2B revenue). I understand production ML pipelines AND the pressure to deliver ROI.
My 4-week process:
(1) Brutal honest audit identifying what's blocking production,
(2) Production-ready architecture redesign,
(3) 100+ pages of documentation your team can actually use,
(4) Implementation roadmap with business case for leadership.
Results:
87% of my rescued projects reach production vs 5% industry average. Typical savings: 6-12 months and $200K-$1M in sunk costs.
I guarantee results:
If I can't identify at least 3 major architectural issues blocking your deployment in Week 1, you don't pay.
Perfect for companies with AI pilots drowning in technical debt, models that demo well but fail at scale, or executives demanding ROI from stalled projects.
What sets me apart:
I'm both a technical architect (R&D Project Manager defining AI/ML systems) and business strategist (Co-Founder driving B2B revenue). I understand production ML pipelines AND the pressure to deliver ROI.
My 4-week process:
(1) Brutal honest audit identifying what's blocking production,
(2) Production-ready architecture redesign,
(3) 100+ pages of documentation your team can actually use,
(4) Implementation roadmap with business case for leadership.
Results:
87% of my rescued projects reach production vs 5% industry average. Typical savings: 6-12 months and $200K-$1M in sunk costs.
I guarantee results:
If I can't identify at least 3 major architectural issues blocking your deployment in Week 1, you don't pay.
Perfect for companies with AI pilots drowning in technical debt, models that demo well but fail at scale, or executives demanding ROI from stalled projects.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, Keras, MLflow, NLTK, NumPy, pandas, Python Scikit-Learn, PyTorch, XGBoostWhat's included $5,000
These options are included with the project scope.
$5,000
- Delivery Time 28 days
- Number of Revisions 3
- Number of Model Variations 0
- Number of Scenarios 5
- Number of Graphs/Charts 15
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Frequently asked questions
About Waris
ML Solutions Architect | R&D to Revenue Systems
Lahore, Pakistan - 5:06 am local time
Your company spent $1-5M on an AI project. It's been 12-18 months. Still stuck in development. The problem isn't the algorithms—it's architecture, documentation, and implementation strategy.
𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨:
I specialize in AI project rescue for enterprises. Currently serving as R&D Project Manager (defining AI/ML architecture standards) and Co-Founder of a B2B company (leading revenue acceleration). Previously architected solutions that contributed directly to revenue.
This gives me a rare combination: deep technical expertise + business strategy + C-level communication.
𝐌𝐲 𝐑𝐞𝐬𝐜𝐮𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬:
✅ Week 1: Architecture Audit
Identify what's blocking production (usually 3-5 major issues)
✅ Week 2: Production Redesign
Rebuild system architecture for scale, security, and cost optimization
✅ Week 3: Enterprise Documentation
Create docs your team can use (100+ pages: technical specs, APIs, deployment guides)
✅ Week 4: Implementation Roadmap
Deliver phase-by-phase plan with timelines, resources, and ROI framework
𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭:
Most architects can't talk to executives. Most consultants can't code. I do both:
- Technical Depth: Build production ML pipelines, not just prototypes
- Business Acumen: Understand ROI, partnerships, and revenue pressure
- Documentation Excellence: Create enterprise-grade docs that actually get used
- Proven Results: 15+ projects rescued, $3M+ in waste prevented
𝑇𝑒𝑐ℎ𝑛𝑖𝑐𝑎𝑙 𝑆𝑡𝑎𝑐𝑘:
💻 ML/AI: PyTorch, TensorFlow, Scikit-learn, OpenAI API, Custom GPT
☁️ Cloud: AWS (EC2, S3, Lambda, SageMaker, etc), Google Cloud
🔧 MLOps: FastAPI, Docker, MLflow, CI/CD pipelines
📊 Data: PostgreSQL, MongoDB, Vector databases
🤖 Emerging: RAG systems, Multi-agent AI, LLM orchestration
𝐖𝐡𝐨 𝐈 𝐇𝐞𝐥𝐩:
𝐶𝑜𝑚𝑝𝑎𝑛𝑖𝑒𝑠 𝑤𝑖𝑡ℎ:
- AI pilots stuck for 12+ months
- Models that demo well but fail in production
- Systems drowning in technical debt
- Teams with unclear architecture
- Executives demanding ROI
𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐈'𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝:
📈 Average time saved: 8 months to production
💰 Typical cost reduction: $200K-$1M in sunk costs
✨ Success rate: 87% of rescued projects reach production
⚡ Projects rescued: 15+ implementations
𝐌𝐲 𝐆𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞:
If I can't identify at least 3 major architectural issues blocking your production deployment in the first week, you don't pay.
𝐋𝐞𝐭'𝐬 𝐓𝐚𝐥𝐤:
Book a free 30-minute AI project audit. I'll tell you exactly what's broken and how to fix it.
Steps for completing your project
After purchasing the project, send requirements so Waris can start the project.
Delivery time starts when Waris receives requirements from you.
Waris works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Initial Assessment (Days 1-3)
Review all provided materials, conduct stakeholder interviews, and perform preliminary system analysis. Deliverable: Initial findings summary with identified critical issues.
Deep Architecture Audit (Days 4-7)
Complete technical audit of current system, data pipelines, and infrastructure. Document all gaps, bottlenecks, and technical debt. Deliverable: 25-35 page Architecture Audit Report.