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Experience and Expertise

What are your areas of expertise?

4 core areas of expertise:

1. AI Integration and intelligent automation: LLM (GPT-4, Claude, Gemini), Machine Learning, Predictive Analytics, RPA, AI Agents.

2. Enterprise Architecture: distributed systems, Microservices, Full-Stack .NET (C#, ASP.NET, MS SQL), Cloud Architecture (Azure, AWS).

3. Government and healthcare systems: high-security systems, Healthcare IT, GDPR / HIPAA-aware design.

4. Custom development: E-Commerce, ERP, CRM, mobile (iOS/Android), Big Data & Analytics, legacy system modernization.

20+ years of experience in critical projects for governments, banks, healthcare, and Enterprise companies across 14 countries.

Why hire a senior architect when AI can generate the code?

AI closes the first 80% of any project well: prototype, boilerplate, happy path. There is no argument with the tool.

Production is decided by the last 20% - failure modes, concurrency, data integrity, behavior under load, security, cost at scale. AI does not model these because it responds to your prompt, not to your production reality.

AI confidently generates architecturally plausible code that turns lethal six months in. The senior architect is the evaluation layer that catches this before it ships. AI amplifies skill asymmetrically: expert + AI reaches a maintainable system faster; amateur + AI reaches a demo that disintegrates on real data.

Accountability lives with the person who made the call. AI cannot sign anything.

Read the full position

What types of organizations do you work with?

Government bodies: ministries, local authorities, public organizations

Healthcare: medical associations, HMOs, clinics, medical platforms

Finance: banks, insurance companies, FinTech

Enterprise: mid-to-large companies in High-Tech, Retail, Logistics, E-Commerce

Startups and Scale-ups: that need scalable architecture from day one

Common thread: complex projects with significant business impact, requiring deep expertise.

Do you work with small businesses?

Yes. I work with businesses of all sizes - from startups to large enterprises. Small and medium businesses often see the fastest ROI: automating a single process can save tens of hours per month.

For small businesses I recommend starting with: a focused POC (2-4 weeks), an AI integration targeting one high-cost process, or a small-scope Monthly Retainer. This shows value quickly - before committing to a larger investment.

How quickly can we get started?

After finalizing terms - within 3-5 business days. Urgent projects can begin within 24 hours.

The first step is always a Discovery meeting (1-2 weeks) where we map the current state and build a work plan. You can book the first meeting right now - free, no commitment.

Services

What I Offer and How It Works

What does the AI integration service include?

5 stages of a full AI integration cycle:

1. Discovery (1-2 weeks): business process analysis, identifying high-ROI AI opportunities, defining KPIs

2. Planning (1-2 weeks): model selection (GPT-4, Claude, Gemini or custom), architecture, cost estimation

3. Development (4-12 weeks): integration with existing systems, fine-tuning, testing, optimization

4. Deploy & Train (1-2 weeks): production rollout, team training, monitoring

5. Ongoing support: continuous optimization, updates, improvements

Examples: intelligent chatbots, CRM automation, document analysis, business forecasting, AI Agents for complex workflows

What does an Enterprise Architecture project look like?

1. Deep IT Audit: system mapping, bottleneck identification, risk assessment

2. Architecture planning: HLD + LLD, tech stack selection, scaling roadmap

3. Documentation: System Architecture Document, API Specifications, Data Flow Diagrams

4. Migration plan: transition from legacy systems without downtime

5. Security & Compliance: security plan, standards compliance, Penetration Testing

6. Implementation support: Code Reviews, Architecture Governance, ongoing consulting

Do you only plan or also develop?

Both - Architect and Developer.

"Architecture by Doing": I don't just plan on paper - I write critical code, build POCs, and lead hands-on development.

I handle personally: full architecture planning, backend code (.NET/C#), APIs and integrations, AI/ML integrations, Code Reviews, DevOps and CI/CD, Performance Optimization.

When I bring in a team: for large projects, frontend, mobile, or when high velocity is needed. But I always lead technically and am accountable for results.

Pricing

Costs, Models and ROI

How much does a project cost?

Integration / small POC: from $15K (2-8 weeks)

Medium project: $30K-$100K (3-6 months)

Full Enterprise: $100K-$300K+ (6-18 months)

Monthly Retainer: $10K-$25K per month (most popular format)

What affects the price: technological complexity, number of integrations, security and compliance requirements, team size, timeline.

You always get: a detailed estimate, timeline, and ROI forecast - no hidden costs.

Which pricing model is right for me?

Fixed Price: for projects with a well-defined scope and fixed budget. Full transparency, no surprises.

Monthly Retainer (most popular - 80% of clients): for ongoing support, agile development, and long-term relationships. Maximum flexibility, schedule priority, 24/7 support.

Time & Materials: for dynamic projects, R&D, and unclear scope. Pay only for what is done, full control.

How do you ensure positive ROI?

Before the project: current cost analysis (Baseline), clear measurable KPIs, detailed ROI forecast (best/worst/realistic).

During the project: continuous performance measurement, constant optimization, transparent monthly reports.

Real results: 40% IT cost savings, 3x system performance, 70% routine automation, 90% downtime reduction, positive ROI on average within 4-8 months.

Commitment: I don't start a project if I don't see a clear ROI potential.

Process

How to Work With Me

What happens in the first consultation?

First consultation - 45 minutes, free, no commitment.

During the meeting: understanding your situation and goals - initial analysis of problems and opportunities - proposed approach - answers to all your questions.

Within 48 hours: Strategic IT Roadmap (5-10 pages), cost and timeline estimate, ROI forecast, recommendations for next steps.

Even if we don't work together - you will get real value from the meeting.

How long does a project take?

POC / Prototype: 2-4 weeks

Simple integration: 4-8 weeks

Medium project: 3-6 months

Full Enterprise: 6-18 months

Agile approach: 2-4 week sprints with specific deliverables in each. Value appears from the first weeks - no need to wait until the end of the project.

How do you communicate with the client during a project?

Regular meetings: Weekly Standup (15 min) - Sprint Review every 2 weeks - Monthly Steering with leadership.

Reports: weekly (progress, hours, next steps) and monthly (metrics, ROI, budget).

Tools: Jira / Azure DevOps / Monday, Teams / Slack / Email, GitHub / Azure Repos.

Availability: business hours Sun-Thu 9-18. For critical incidents - 24/7 per contract SLA. Available across time zones.

What happens after project delivery?

Every project includes: 3-6 month warranty period, full documentation (Technical, User, API), comprehensive team training, source code transfer and full ownership rights.

95% of clients continue with a support contract: 24/7, critical bugs - 2 hours, regular updates, future development.

I have clients who have worked with me for 10+ years - from initial idea through to system maturity.

Technology

Stack and Tools

What technologies do you work with?

AI & LLM: OpenAI GPT-4/4o, Anthropic Claude, Google Gemini, Azure AI Services, LangChain, Semantic Kernel, Vector DBs (Pinecone, Weaviate)

Backend: .NET Framework / Core / .NET 10, C#, ASP.NET MVC / Web API, Entity Framework, LINQ, Dapper, RESTful APIs

Databases: MS SQL Server (primary specialization), T-SQL, Stored Procedures, SSIS, Query Optimization

Cloud & DevOps: Azure (App Service, Functions, Storage), AWS (EC2, Lambda, S3), Docker, Kubernetes, CI/CD - Azure DevOps / GitHub Actions

Frontend: JavaScript, jQuery, React, Vue.js, Blazor, Razor, AJAX, RTL/LTR

Mobile: Native iOS/Android, React Native, Xamarin, Push Notifications (FCM/APNs), Biometrics

How do you choose technologies for a project?

Principle: Business Requirements First - not hype.

I evaluate: fit with business requirements, technology maturity and community, performance and scalability, security and compliance, Total Cost of Ownership, compatibility with existing systems, long-term support and vendor lock-in risk.

I don't choose a technology because it's trending. I choose what best solves the specific business problem - efficiently, scalably, reliably.

Do you work with legacy systems?

Yes, this is a key specialization. Legacy modernization is not just a rewrite - it's preserving business logic, minimizing risk, and ensuring operational continuity.

Typical scenarios: .NET Framework to .NET 10 migration, monolith - Microservices, on-premise - Cloud, WebForms - modern SPA, integrating AI into legacy systems without full rewrites.

Approach: phased migration without downtime, parallel operation of old and new systems, gradual user transition.

AI Integrations

LLM, Agents and Automation

How do you implement AI in existing systems?

1. Process Discovery: process mapping, identifying AI-suitable processes, calculating ROI potential for each, prioritizing Quick Wins - Long Term.

2. Model Selection: choosing between LLM (GPT-4, Claude, Gemini) or Custom ML Model, or a Hybrid Approach. POC to validate fit.

3. Integration: building APIs to existing systems, Data Pipelines, Vector Databases for long-term memory, Monitoring & Logging.

4. Fine-Tuning: domain-specific customization, training on internal data, quality & accuracy testing.

5. Deploy & Monitor: phased production rollout, A/B Testing, results monitoring vs. Baseline, Continuous Improvement.

What AI solutions do you offer?

LLM Integration: ChatGPT, Claude, Gemini in business processes - document management, customer support, data analysis

AI Agents: autonomous agents for complex multi-step tasks - monitoring, decision-making, automatic execution

Machine Learning: predictive analytics, recommendation systems, anomaly detection

RAG systems: AI with access to corporate knowledge via Vector Databases

Process automation: RPA + AI for hybrid workflows with human oversight

What is the real ROI from AI implementation?

Real results from production projects:

· 70% automation of routine CRM tasks - saving 15+ hours per week
· Document processing time reduced from 2 hours to 5 minutes
· Positive ROI already after 4 months post-launch
· 40% reduction in customer support costs

Every project starts with a clear ROI calculation - I don't implement AI for AI's sake, only where it creates measurable value.

Why Me

Differentiation and Guarantees

What sets you apart from other developers and agencies?

I am not just a developer - a strategic partner:

· Proven track record: 20+ years, 150+ projects, clients working with me for 10+ years
· AI in production, not pilots: real deployments with measurable ROI
· Personal accountability: I write critical code and am accountable for results - not just a manager
· Holistic approach: architecture, security, performance, SEO, ROI - all in one
· Zero security incidents over 20 years across banking, government, and healthcare systems
· Full transparency: weekly reports, system access, no surprises

Do you work alone or with a team?

For small and medium projects - alone or with 1-2 senior developers. For large projects - I lead the SLAtech team (founded 2004) or integrate with the client's team.

I am always personally accountable for architecture, critical code, and the final result - regardless of team size. This is not outsourcing, it's committed partnership.

What guarantees do you provide?

Concrete commitments written into the contract:

· Critical bugs - resolution within 2 hours
· All other issues - within 24 hours
· 3-6 month warranty period after delivery
· Source code and full ownership rights - client only
· NDA automatically from the first conversation

I don't start a project if I don't see a clear ROI. If I don't believe it will pay off - I say so honestly. Selective client intake - quality over volume.

Security

Information Security and Compliance

How do you handle information security?

Security - not an add-on, but a foundation built in from the first commit.

Secure Development Lifecycle: Threat Modeling - Secure Coding (OWASP Top 10) - Penetration Testing - Hardening - Patch Management and monitoring.

Standard measures in every project: OAuth 2.0 / JWT / MFA, TLS 1.3 + AES-256 (at-rest), Rate Limiting and WAF, PII Masking, SIEM Integration, Audit Trails, automated vulnerability scanning.

20 years of work with government organizations and systems with maximum security requirements. Zero security incidents across an entire career.

Which regulations and frameworks do you design around?

International regulations: GDPR (EU), HIPAA (US healthcare), PCI DSS (payment processing), FERPA (US education) - for the systems we build for clients in those sectors.

Israeli regulations: Privacy Protection Authority requirements, government information-security guidelines.

What I provide: regulatory mapping and gap analysis, documentation that supports the client's external audits, deployment options (on-prem, private-cloud) that match the regulation's data-residency expectations.

Note: I do not hold ISO 27001, SOC 2 or other formal certifications - engagements are advisory and architectural, not audit-house equivalents.

What about NDA and confidentiality?

Absolute confidentiality - the foundation of every engagement.

Automatic NDA: every conversation is covered by an implicit NDA - no need to sign in advance, but you can.

Available for signing: standard NDA (Mutual / One-Way), enhanced NDA for sensitive projects, industry-specific NDAs for government and healthcare projects.

My policy: I don't share information between clients, I don't publish case studies without explicit consent, client code belongs solely to the client, all data is encrypted and secured.

Zero data leaks or confidentiality breaches across 20 years.

Still Have Questions?

Let's talk - I'd be happy to answer anything else

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Response within 24 hours · NDA on request · Working with clients worldwide · Selective client intake - quality over volume

Questions & Answers Everything You Need to Know