01
Understand the product
Start with users, business rules, operational constraints, and the outcome the software must enable.
Professional profile India · Global remote
I’m Niraj Kumar.I connect the whole system.
I’m a senior full-stack software engineer with 6+ years of experience delivering AI SaaS products, enterprise applications, Node.js backends, Next.js interfaces, PostgreSQL systems, and AWS cloud workflows.
My role is usually broader than writing features. I clarify requirements, shape architecture, model data, define security boundaries, integrate external systems, prepare deployment paths, and keep production behavior understandable for the team that owns it next.
6+
Years of Experience
20+
Production Projects
3
Detailed Case Studies
4
Technical Deep Dives
How I work
Engineering decisions need context.
Good software is not only clean code. It is a set of deliberate trade-offs that respect users, operations, security, delivery pressure, and the people maintaining the system later.
02
Design the boundaries
Make data ownership, authorization, integrations, failure modes, and service responsibilities explicit.
03
Deliver in useful slices
Build reviewable increments that reduce uncertainty and keep product feedback connected to implementation.
04
Keep production operable
Treat security, observability, recovery, documentation, and support as part of delivery—not final polish.
Experience across teams
Built through varied products and constraints.
My experience spans product companies, service teams, cybersecurity, travel, education, and independent delivery. That variety taught me to adapt the engineering process without lowering the quality bar.
01
Skilligent
02
Bhavishya Logic Nest
03
Essence Software Solutions
04
Turtl Cyber Security
05
Masai School
06
Core Travel Management
Organizations and teams represented in my professional experience. Detailed responsibilities and chronology are available in my resume.
Technical range
Tools follow the system—not the other way around.
I choose technologies based on product constraints, team capability, operational cost, and long-term ownership.
Product interfaces
React.jsNext.jsAngularTypeScriptJavaScriptTailwind CSS
Backend systems
Node.jsExpress.jsNestJSREST APIsGraphQLWebSockets
Data architecture
PostgreSQLPrisma ORMMySQLMongoDBRedis
Cloud operations
AWSDockerCI/CDGitHub ActionsNginxCloudflare
AI engineering
OpenAIClaude AIRAGOCRPrompt EngineeringDocument Intelligence
The constant is judgment.
Frameworks change. Clear contracts, secure defaults, observable behavior, recoverable workflows, and understandable systems remain valuable.
Evidence of practice
The work shows how I think.
AWS Backend Architecture01
Event-Driven Document Synchronization on AWS
The design contains partial failures, scales each integration independently, gives operators an explainable document state, and makes search visibility a deliberate consistency guarantee rather than a timing assumption.
Read the engineering storyEnterprise Platform02
Enterprise Document Pipeline Monitor
Authorized users gained permission-based document management and paginated pipeline visibility, with database audit events and S3 versioning preserving an attributable, recoverable change history.
Read the engineering storyRegulated Marketplace03
AI-Powered Cannabis Compliance Marketplace
The architecture connected domain research, AI document intelligence, backend modeling, compliance workflows, and full-stack product delivery into one maintainable platform direction.
Read the engineering storyAvailable for Global Remote Contracts
Looking for a senior engineer who can own the whole path?
I’m open to global remote roles and contract delivery across AI SaaS, full-stack product engineering, backend architecture, and cloud systems.