Hire the Best Distributed Computing Specialists

I am an ACM-ICPC World Finalist and software engineer. I have been developing backend and DevOps solutions using C++, Java, and Python since 2016. I have experience in multiple domains that include fintech, agrotech, health tech, IoT, and Saas. I have been working as a remote developer with globally distributed teams since 2019. I am a quick learner, good with communication, proactive and punctual human being. Nothing excites more me than a challenge that is necessary but difficult to solve. I am also a competitive programmer and expert in data structures and algorithms. I have a decent understanding of UNIX systems especially how different types of data structures are blended to solve complex problems of operating systems. I am a team player and can work as solo as well. I never compromise the quality of my work doesn't matter how the pressure is. And, I believe in requirement analysis as the most crucial part of engagement.

20-year Solution Architect and Fractional CTO helping Series A–C SaaS scale-ups and Fortune 500 teams ship cloud-native, AI-powered systems that don't break at 10× load. DevOps, Software Architecture, AI consulting — delivered, not theorized. If your roadmap has any of these on it — a cloud migration that's slipping, an AI/LLM feature that demos well but won't survive production, a monolith you need to break up without freezing the product team, or a DevOps platform that's burning cash and on-call time — I've shipped that exact engagement before, more than once. What I do (and have done for 20 years): ✅ Solution & Software Architecture — system design, domain modeling, microservices vs. modular monolith trade-offs, event-driven & API-first platforms, architecture reviews and ADRs your team will actually follow ✅ DevOps, Cloud & Platform Engineering — AWS / Azure / GCP, Kubernetes (EKS/AKS/GKE), Terraform, CI/CD, FinOps cost reduction, SRE / observability, zero-downtime migrations ✅ AI Consulting & AI Solutions Architecture — production LLM / RAG systems, agentic workflows, AI strategy roadmaps, build-vs-buy decisions, model selection, evaluation harnesses, vector DBs, secure enterprise AI ✅ Fractional CTO & Tech Due Diligence — for founders pre-Series A through Series C; for PE / VC pre/post-investment For startups & scale-ups: I move at founder-speed. MVP architectures that won't need a rewrite at Series B, AI features you can actually ship, hiring plans for your first 5 engineers, and an architecture roadmap your investors will respect. For enterprises: I bring TOGAF-style rigor without the consultancy bloat — solution architecture, cloud migration strategy, vendor-neutral AI roadmaps, security/compliance-aware design (SOC 2, ISO 27001, HIPAA, GDPR), and stakeholder-ready documentation. Selected outcomes from the last 20 years: 🏆 Cut cloud spend 41% and shortened deploy time from 45 minutes to under 5 minutes for a SaaS platform serving 12M users 🏆 Designed the AI/RAG architecture that took a B2B SaaS from PoC to production with 30+ enterprise customers in 5 months 🏆 Re-architected a legacy monolith into modular services with zero customer-facing downtime over 7 months 🏆 Led DevOps platform builds (Terraform + Kubernetes + GitOps) that cut on-call pages by 70% and onboarding from weeks to days How I work: small commitments first. Most engagements start with a paid 60-minute architecture call or a 1–2 week assessment, so we both know it fits before you commit to a long retainer. I write things down. I document decisions. I leave your team better than I found it. What I won't do: rewrite-the-world projects with no executive sponsorship, "just do everything yourself" engagements with no engineering team to hand off to, or AI demos that aren't on a path to production. Send me a paragraph about your stack, your team size, and the outcome you need in the next 90 days. I'll come back inside 24 hours with a short, specific point of view not a sales pitch. If we're a fit, we'll book a working call from there.

I help startups and businesses design, build, and operate scalable, production-grade backend systems and cloud-native applications, with a strong focus on AI-powered solutions. I am an AWS Certified CloudOps Engineer with a solid foundation in cloud engineering, backend development, and system reliability. I specialize in building high-performance services and integrating AI/ML capabilities into real-world applications, ensuring they are scalable, secure, and optimized for production environments. My experience includes developing and deploying RESTful APIs, AI-driven services (including LLM integrations and retrieval-based systems), and distributed architectures using Python, FastAPI, Docker, and AWS. I apply best practices in cloud architecture, automation, monitoring, and performance optimization to deliver systems that are reliable, maintainable, and cost-efficient. Core areas of expertise: Backend development and API design (Python, FastAPI, microservices) AI/ML integration (LLMs, RAG systems, data pipelines) Cloud engineering on AWS (deployment, scaling, optimization) Containerization and DevOps (Docker, CI/CD, automation) System reliability, monitoring, and performance tuning I focus on delivering clean, well-architected solutions with clear communication and a strong commitment to quality, reliability, and long-term value.

With over 12 years of experience in Software, Data, and Machine Learning Engineering, I offer consultancy and development services in those three pillars of modern applications. I bring development experience from working in companies like Amazon and ENEA, and consultancy experience from working at Levi9. Two of my areas of expertise that are not very common: Email Deliverability: developed systems and optimized the deliverability of Amazon SES's pipeline, as part of my work at Amazon (more details in the consultation below) Scala programming language: gained experience with the Scala ecosystem for over 4 years at Levi9

I am an AWS-certified professional with over 5 years of experience specializing in backend development, DevOps engineering, and Kubernetes orchestration. My expertise lies in building scalable, secure, and efficient cloud infrastructures while integrating advanced AI/ML solutions to enhance business outcomes. ☞ Backend Development: Proficient in Node.js, Python, and PHP with hands-on experience in building serverless and containerized applications using frameworks like Serverless Framework, SAM, and SST. ☞ DevOps Expertise: Skilled in designing CI/CD pipelines, implementing Infrastructure as Code (Terraform, CloudFormation), and automating deployment workflows for high-traffic applications. ☞ Kubernetes Specialist: Extensive experience in deploying, managing, and scaling containerized applications on Kubernetes platforms like AWS EKS, GCP GKE, and Azure AKS. ☞ Security & Compliance: Strong knowledge of securing infrastructure and achieving compliance with frameworks like HIPAA, PCI-DSS, GDPR, and ISO standards. ☞ AI/ML Integration: Experience in integrating AWS AI/ML services such as Textract, Comprehend, Kendra, and Rekognition into applications for intelligent automation. Certifications: AWS Certified Solutions Architect – Associate AWS Certified Practitioner Toolkit: AWS, Terraform, Docker, Kubernetes, Jenkins, GitLab CI/CD, Python, Node.js, PHP, MySQL, PostgreSQL ..... Monitoring Tools: Prometheus, Grafana, New Relic

With 25+ years of hands-on technology leadership experience, I serve as a Fractional CTO specializing in AI/ML, Cloud Architecture, Cybersecurity, and Application Development. I’ve worked with global brands including Walmart, FIFA, Porsche, Deloitte, and Covestro, helping them solve complex technical challenges and deliver high-impact solutions. I specialize in three core areas: AI & Machine Learning — Over a decade of real-world experience building AI solutions long before it became mainstream. Application Development — Designing and delivering robust web, mobile, and backend applications that turn ideas into reality. Cybersecurity — Architecting secure systems and maintaining ongoing security excellence through regular testing and best practices. As a Fractional CTO, I provide high-level strategic leadership without the full-time cost. I help companies: Align technology with business goals Build scalable, secure architectures (AWS & Azure) Reduce technical debt Accelerate product development Strengthen cybersecurity posture Whether you need interim leadership, a technology roadmap, AI implementation, or help scaling your systems securely — I deliver practical, results-driven solutions that drive real business growth. I’m known for clear communication, deep technical expertise, and the ability to bridge the gap between business needs and technical execution. Let’s talk about how we can work together to move your technology forward.