Leadership & Ownership
Technical leadership, team mentoring, and end-to-end product ownership.
Owning architecture, scope, and delivery end-to-end as lead engineer,Hiring, onboarding, and mentoring developers,Running R&D sessions and coordinating cross-functional contributors,Auditing inherited platforms and aligning founders on rebuild decisions,Delivering technical presentations and workshops,Communicating trade-offs directly to founders and investors
- Technical leadership
- MVP ownership
- Cross-functional coordination
- R&D collaboration
- Stakeholder & investor communication
- Mentoring
- Code reviews
- Agile/Scrum
- Technical documentation
Backend & Architecture
Scalable microservices, event-driven systems, high-performance APIs.
Building microservices with event-driven patterns using RabbitMQ and Redis Pub/Sub,Designing RESTful and GraphQL APIs with proper error handling and documentation,Optimizing database performance through indexing, query tuning, and caching strategies,Implementing multi-tenant architectures with proper data isolation and security,Working with message queues for async job processing and real-time data streaming
- Node.js
- Python
- Express
- NestJS
- TypeScript
- PostgreSQL
- MySQL
- MongoDB
- RabbitMQ
- Redis
- REST APIs
- GraphQL
- WebSocket
- Microservices
- Event-driven architecture
- Supabase
- Swagger
Frontend Development
Modern React applications, state management, responsive design.
Building responsive, mobile-first interfaces with modern React patterns,Managing complex application state with Redux Toolkit and Context API,Implementing server-side rendering and static generation with Next.js,Writing maintainable component libraries documented in Storybook,Ensuring code quality through comprehensive unit and integration testing
- React
- Next.js
- TypeScript
- JavaScript
- Redux Toolkit
- React Query
- React Hook Form
- Tailwind CSS
- SASS
- Material UI
- Radix UI
- Jest
- React Testing Library
- Storybook
- i18next
AI & ML
AI-powered features with a spec-driven workflow, RAG, and LLM integration — backed by applied ML.
Building AI-powered features with a spec-driven development workflow,Designing RAG pipelines with vector search and embeddings for grounded, current answers,Building agentic systems with tool use, multi-agent orchestration, and MCP integrations,Integrating LLMs into products — chat interfaces, content generation, and automation,Architecting platform cores around ML and rule-based algorithms for domain-specific problems
- LLM integration
- RAG (Retrieval-Augmented Generation)
- Spec-driven development
- Prompt engineering
- AI agents
- Tool use / function calling
- Multi-agent orchestration
- MCP (Model Context Protocol)
- LangGraph
- OpenAI API
- Anthropic API
- Vector databases
- Embeddings
- Python
- scikit-learn
- Computer vision
- Rule-based + ML hybrid systems
Security & Authentication
Multi-factor auth, OAuth flows, API security best practices.
Implementing TOTP-based two-factor authentication for enhanced security,Building role-based access control (RBAC) systems with granular permissions,Securing APIs with JWT tokens, OAuth flows, and proper validation,Protecting against common vulnerabilities (SQL injection, XSS, CSRF),Conducting security audits and implementing fixes for production systems
- JWT
- OAuth 2.0
- TOTP (2FA)
- RBAC
- Multi-tenant data isolation
- bcrypt
- HTTPS/TLS
- CORS
- Rate limiting
- Helmet.js
- Security headers
Infra & DevOps
Docker deployments, CI/CD automation, cloud infrastructure, and performance tuning.
Containerizing applications with Docker for consistent deployments across environments,Setting up CI/CD pipelines for automated testing and deployment,Managing cloud infrastructure on AWS with a security-first approach,Optimizing queries and caching layers for measurable gains (22%–35% faster response times),Administering Linux servers and tuning Nginx for high-performance web serving
- Docker
- Kubernetes
- AWS EC2
- AWS S3
- AWS RDS
- AWS Lambda
- Google Cloud Platform (GCP)
- GitHub Actions
- GitLab CI
- Nginx
- Linux
- Git
- Database indexing
- Redis caching
- Query optimization
- Performance profiling
- Load testing