Hire the Best Cloud Engineers

I’m an AWS Certified Solutions Architect – Professional with multiple AWS specialty certifications and hands-on experience designing scalable, secure cloud architectures. I help businesses migrate applications to AWS, improve infrastructure reliability, and implement DevOps best practices. My AWS Certifications: • AWS Certified Solutions Architect – Professional • AWS Certified Security – Specialty • AWS Certified Advanced Networking – Specialty • AWS Certified Solutions Architect – Associate • AWS Certified Cloud Practitioner I can help with: • Cloud migration to AWS • High-availability architecture design • DevOps automation and CI/CD pipelines • Infrastructure security and networking • Application deployment and monitoring I also teach AWS concepts on my YouTube channel(Learn Tech), helping engineers understand real-world AWS architecture and best practices.

If your AWS bill keeps climbing, production breaks under load, or a compliance deadline is getting close - the problem is rarely just AWS. It’s the architecture. I step into fragile systems and fix both: cloud infrastructure, and the application design running on it. Because even perfect AWS setup cannot save software that wasn’t designed to scale, isolate failures, or handle real production traffic. Most teams I work with are stuck in one of these situations: - AWS costs rising every month with no clear reason - Systems that pass tests but fail under real traffic - Compliance pressure from regulators or auditors - Constant firefighting instead of controlled releases Hiring more engineers or adding more monitoring increases complexity. I simplify the architecture - both infrastructure and code-level design - so the problems stop repeating. Recent outcomes: - Avoided a $5M federal penalty by delivering a critical federal platform before deadline, focusing only on what was required for compliant launch - Cut hosting costs from $96K to $14K per year by eliminating architectural waste across infrastructure and services - Designed and delivered a FedNow-ready, Federal Reserve-compliant real-time payments system scaling to 60,000 transactions per second using horizontally scaled services built specifically for cloud behavior What changes after I’m done: - Infrastructure and software designed to scale together - Predictable AWS costs - Systems that stay stable under load - Clear documentation and runbooks - A team that can operate it independently I build boring, predictable systems on purpose. Boring systems survive audits, scale events, and 3am incidents. If you’re dealing with cost pressure, reliability issues, or compliance risk, send me your biggest concern. I’ll tell you exactly what I would fix first and whether it’s worth doing. If it’s not a fit, I’ll say so.

Hi, I’m Kisan 👋 I help startups and growing teams design scalable solutions on AWS, reduce cloud costs, and make sense of complex systems without overengineering. If you’re dealing with: - Rising AWS bills - Confusing or fragile cloud architecture - Performance or scalability concerns - Or need clear, developer-focused technical content You’re in the right place. What I do best: ✅ AWS Architecture & Optimization Design and improve cloud architectures that are secure, scalable, and cost-efficient. ✅ AWS FinOps & Cost Optimizatioin Identify waste, optimize services, and help teams build cost-aware cloud systems. ✅ Cloud & DevOps Technical Writing High-quality, SEO-optimized technical content written by someone who actually builds systems. Who am I? - Cloud Solutions Architect (AWS) - Docker Captain - AWS Community Builder - Author of The Cloud Handbook Newsletter - Founder of Towards AWS Why work with me? - AWS Cloud Engineer & Solution Architect with real production experience - Content read by millions of developers worldwide - Strong at both building systems and explaining them clearly How to get started? Send me a short message with: - What you’re building - Your current challenges And I’ll tell you honestly if I can help and how.

I help clients turn AI initiatives into operational systems that people can actually use and trust. I embed with client teams from discovery through rollout—identifying the right opportunity, designing the architecture, writing the code, integrating existing systems, and building the evaluations and human controls required for adoption. Clients bring me in when an important AI initiative needs more than a strategy deck or prototype. Because I handle both architecture and implementation, I can move from executive conversation to production code without the handoffs and delays of a conventional consulting team. CURRENT WORK • Clinical speech AI and multilingual interpretation For a multi-facility medical clinic in Dallas, I am building the data and model pipeline behind a self-hosted multilingual interpretation platform. The current work centers on collecting dialect-rich Arabic speech from clinic workflows and putting it through rigorous human transcription and review. The system supports segmentation, separate ASR and translation review, second-reader adjudication, consent controls, exact model and audio lineage, and reproducible dataset exports. Generic speech and translation APIs often struggle with regional dialects, medication names, dosages, negations, overlapping speakers, and the messy structure of real medical conversations. This pipeline gives the client a controlled way to evaluate and improve specialized models without allowing unverified AI output to become training truth. The same infrastructure can support Spanish, Vietnamese, Farsi, Urdu, and other high-need languages. The deployment roadmap includes model right-sizing, distillation, and quantization to reduce latency and operating cost across clinic locations. • AI property intelligence and geospatial reasoning Determining what can legally be built on a property is normally a fragmented expert-research process. It requires finding the correct municipal regulations, interpreting ambiguous zoning language, identifying the right parcel and district, understanding road frontage and neighboring conditions, and applying those rules to real geometry. For Plan AI, I built and productionized a property-intelligence engine that performs this work across municipal code, parcel geometry, road networks, building footprints, neighboring lots, FEMA flood data, and permit data. The system converts those sources into setbacks, buildable envelopes, risk signals, maps, and the evidence supporting each conclusion. Because an authoritative-sounding AI answer is not enough, I also built the anti-hallucination and geospatial evaluation layers. They reject invented ordinance language, unsupported calculations, unjustified assumptions, incorrect parcel or building matches, invalid envelopes, and contradictions between the model’s explanation and its result. The result is one evidence-backed workflow for understanding what constrains a property and what can potentially be built—while keeping uncertain cases visible for expert review. SELECTED EXPERIENCE • Led the development of an AI underwriting platform for a publicly traded lender with approximately $40M+ in annual revenue. It automated most application decisions while routing the hardest 10–15% to expert underwriters. • Designed and shipped a production payroll platform for Finally, a $100M Series B company, in approximately six weeks. • Helped build and stabilize Refine.ink, an AI peer-review platform used by faculty at leading U.S. universities. • Built SMART on FHIR and HL7 ADT healthcare integrations, voice-driven legal-intake systems, and computer-vision pipelines for identifying industrial weld defects only a few pixels wide. HOW I WORK I begin with the workflow, the people using it, the cost of failure, and the evidence the system must produce—not with a predetermined model or vendor. I can own the complete path from discovery through production, or embed with an existing team to resolve the critical architecture, integration, evaluation, and adoption challenges. As one Upwork client put it: “Got a week’s worth of work done in less than an hour due to Jonathan’s expertise. Would work with him again, no question.”

I help engineering teams and technical founders make the right system decisions before they become expensive — scoping what to build, de-risking architecture before irreversible choices are made, and owning delivery through to scale. My background spans cloud architecture, solution architecture, and database systems across AWS and Azure. The combination matters: most production failures I have seen trace back not to bad code, but to structural decisions made early in the schema, the system boundaries, or the deployment model — that compounded quietly until they could not be undone. I am based in Armenia and work async-first with clients across the US, Europe, and Australia. Architecture work — system design, technical reviews, decision documentation, governance frameworks — does not require timezone overlap. My clients do not experience geographic friction. 🔹 𝐓𝐡𝐫𝐞𝐞 𝐫𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐭𝐡𝐚𝐭 𝐜𝐚𝐩𝐭𝐮𝐫𝐞 𝐡𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤: 𝐆𝐃𝐂 𝐌𝐞𝐝𝐢𝐚 (𝐈𝐫𝐞𝐥𝐚𝐧𝐝) — built an LLM-assisted database audit engine running across 3 MySQL clusters and 15 production nodes. 13 independent checkers feed findings to the LLM, which grades each as Critical / Major / Minor / Trivial and writes a short, grounded explanation. Runs hands-off 365 times a year. 𝐇𝐑𝐒 𝐆𝐫𝐨𝐮𝐩 (𝐂𝐨𝐥𝐨𝐠𝐧𝐞, 𝐆𝐞𝐫𝐦𝐚𝐧𝐲) — designed and built financial data pipelines on AWS that bridge MS Navision (ERP) and SAP through a single canonical model. Safe to replay, with scheduled reconciliation. 𝐆𝐥𝐚𝐬𝐬𝐰𝐚𝐥𝐥 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 (𝐔𝐊) — Cloud Engineer on the Content Disarm and Reconstruction platform now trusted by NATO and U.S. and U.K. national security agencies. Helped adapt the platform for AWS EKS, Azure AKS, and K3s, and built the file ingress orchestration plugin handling terabytes of potentially infected files. 🧭 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤 I don't approach projects as feature delivery. I approach them as temporary or ongoing technical ownership — short engagements that clarify direction, longer ones that carry the system through to scale. The shape is the same in both: • Reduce MVP scope while keeping the core value loop intact • Define cloud architecture and system constraints before implementation begins • Make decisions explicit instead of accumulating quiet assumptions • Separate short-term delivery from long-term structural risk • Hand off to in-house engineers cleanly when the moment is right Some engagements take two weeks. Some turn into multi-year work. The goal in both is the same — systems that don't need heroics to keep running. 🎯 𝐖𝐡𝐞𝐫𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐠𝐞𝐭 𝐬𝐭𝐮𝐜𝐤 In early- and growth-stage systems, the biggest problems are rarely about tooling or raw engineering skill. They are decision gaps: • Feature lists that grow faster than clarity • AI is treated as a black box instead of a constrained system • Developers hired before the success criteria are defined • Architectural decisions deferred until they're expensive to reverse • "We'll fix it later" choices that quietly become permanent That's the layer I focus on stabilizing first — so execution stays fast without becoming brittle. ⛁ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜𝐬 Production databases are where architectural decisions surface most visibly — slow queries, bloated indexes, configuration drift, schema choices that worked at 10K rows and break at 10M. I have extensive hands-on experience with PostgreSQL, MySQL, and MariaDB in high-load production environments. For teams that need a fast, structured assessment: I offer a fixed-price SQL database audit via my Project Catalog — a prioritized diagnostic report delivered in 1–2 days, ranked by business impact. 🧱 𝐒𝐭𝐚𝐜𝐤 • Databases — PostgreSQL, MySQL, MariaDB, OpenSearch, Elasticsearch, DynamoDB • Cloud — AWS, Azure, Kubernetes, Docker, serverless • Security — IAM, encryption, access boundaries, secure data flows • DevOps — CI/CD, GitHub actions, CloudFormation, observability • AI-adjacent — guardrails, confidence gating, deterministic vs. generative boundaries Technology serves decisions, not the other way around. 📅 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐟𝐨𝐫𝐦𝐚𝐭𝐬 • Long-term architecture and delivery ownership • Fractional CTO or technical advisor • Short-term advisory (1–4 weeks) • Fixed-price SQL database audit (Project Catalog — from $750) Most successful collaborations start small and grow naturally once alignment is in place. 📨 𝐋𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤 If you are unsure what to build, what to cut, or how to de-risk a critical phase — or if your database is showing signs of trouble — a short conversation usually makes sense. From there, we decide together on the right shape of engagement.

I'm a Cloud and AI Architect with 15+ years of enterprise experience, including 4 years at Microsoft on the Azure team where I consulted F500 companies like AT&T, Walmart, and Mastercard on AI, cloud adoption, security, and infrastructure at scale. I founded TechVora, a small in-office engineering team based in Houston, TX. We work mainly with clients where security, compliance, and uptime are non-negotiable. All engineers work in-house, we never sub out work, which matters when sensitive data is involved. WHAT MAKES US DIFFERENT I act as the architect on every engagement and don't bill for my time. You get senior-level architecture, design, and oversight built into the cost of your developer. AI & PRODUCTION SYSTEMS Over the last two years we've shifted heavily into production AI - we've shipped four enterprise-grade multi-tenant AI applications across legal, accounting, oil & gas, and media, all involving custom LLM pipelines, RAG, and agents handling real sensitive data at scale. CORE COMPETENCIES - Cloud Architecture & Migration (Azure, AWS, GCP) - AI/LLM Integration — RAG, Agents, Multi-tenant Production Apps - DevSecOps, CI/CD, Infrastructure as Code (Terraform, Bicep) - Data Pipelines, Warehousing & ETL - HIPAA-Compliant Architecture - Monitoring, Observability & Incident Response - M365, Azure Security & Compliance Happy to jump on a quick call - I offer a free strategy session for any new engagement.