Solution Architecture
HLD and LLD, multi-tier systems, microservices, distributed services, API boundaries, integration architecture, technology selection, scalability and design governance.
Expertise
Pratik combines hands-on engineering with architecture, cloud, delivery, security and operational leadership. The focus is not only selecting technology, but guiding teams from system design and implementation to secure releases, reliable operations and continuous improvement.
Core capabilities
These areas reflect applied responsibility across enterprise applications, platform delivery, production readiness and cross-functional technical management.
HLD and LLD, multi-tier systems, microservices, distributed services, API boundaries, integration architecture, technology selection, scalability and design governance.
Team leadership, mentoring, roadmap and backlog ownership, RAID/RAG management, dependencies, release planning, CAB/RFC, go-live, hypercare and stakeholder reporting.
AWS and Azure platforms, AKS/Kubernetes, Docker, Linux, networking, cloud migration, high availability, capacity planning and production infrastructure decisions.
CI/CD with Jenkins, Git and Bitbucket, deployment controls, ELK, CloudWatch, Azure Monitor, production dashboards, RCA/CAPA, BCP/DR and RPO/RTO planning.
Secure SDLC, VAPT coordination, SAST/DAST/SCA, SonarQube, OWASP practices, audit evidence, vulnerability governance and identity patterns including OAuth, SAML, LDAP, JWT and RBAC.
Claude Code, Gemini, Hermes, LLM APIs, agentic workflows, prompt guardrails, PII handling, output validation and accountable use of AI across engineering work.
Technical foundations
Architecture and leadership decisions are grounded in practical experience across application code, data, infrastructure and production operations.
PHP 8.x, Laravel, CodeIgniter, Go, Python, JavaScript, REST and SOAP APIs, MVC and service-layer design, RabbitMQ and enterprise integration patterns.
MySQL, PostgreSQL, schema design, indexing, stored procedures, replication, partitioning, connection pooling, migrations, performance tuning and capacity planning.
Linux, Apache, Nginx, Docker, Kubernetes ingress, SSL/TLS, observability, incident analysis, release readiness and production support across enterprise environments.
Working model
Understand business goals, system constraints, delivery risks, dependencies, security posture and operational pain points.
Define system boundaries, integrations, data flows, cloud choices, non-functional requirements and production-readiness criteria.
Guide teams through implementation, code and design reviews, CI/CD, quality controls, release governance and stakeholder decisions.
Use monitoring, incident learning, performance evidence, security findings and technical-debt priorities to improve the platform.
Explore deeper
Use the specialist pages for platform-level detail, or review the complete skill map and project evidence.
Apply the expertise
Discuss the system, delivery constraints, reliability goals or modernisation problem that needs a senior technical perspective.