Software Engineer at Kredivo Group Building backend systems, automation infrastructure, distributed data pipelines, and AI-powered developer tools.

I primarily work with Go, Python, TypeScript, PostgreSQL, Redis, Docker, Linux, and AWS.

• Reliable backend services with predictable failure handling
• Concurrent and fault-tolerant data-processing pipelines
• AI applications with structured outputs and execution guardrails
• Real-time systems using WebSockets and Redis-backed state
• Developer tooling, automation infrastructure, and production diagnostics

An open-source AI data workspace for querying PostgreSQL databases using natural language.

Engineering highlights:

• Bring-your-own read-only PostgreSQL connections
• Automated schema introspection and relationship discovery
• Structured LLM outputs with provider fallback
• Parser-based SQL validation and table allow-lists
• Read-only query enforcement, row limits, and statement timeouts
• Explicit separation between SQL generation and user-approved execution
• Dockerized FastAPI and Next.js deployment

A fault-tolerant bulk-processing system designed for large enterprise onboarding datasets.

Engineering highlights:

• Concurrent and incremental processing pipelines
• Row-level validation and structured error reporting
• Idempotent processing and automated retries
• Progress tracking and resumable execution
• Rollback handling for permanent failures
• Deterministic tests and CI quality checks
• Dockerized local development and cloud deployment

Built and contributed to backend infrastructure for real-time multiplayer games.

Areas explored:

• Raw WebSocket communication
• Redis-backed game and session state
• Matchmaking and player grouping
• Game-state synchronization
• Reconnection and failure handling
• Stateful versus stateless service boundaries

• Go
• Python
• TypeScript
• JavaScript
• Java
• SQL

• FastAPI
• Django
• Go net/http
• REST APIs
• WebSockets
• Event-driven architectures
• Background workers
• Concurrent processing pipelines

• PostgreSQL
• Redis
• MySQL
• MongoDB
• Transactions and consistency
• Pub/sub and distributed state
• Idempotency and retry-safe operations
• Schema introspection and query validation

• Docker
• Linux
• Nginx
• GitHub Actions
• AWS EC2, S3, and Lambda
• CI/CD pipelines
• Containerized deployments
• Structured logs and production diagnostics

• React
• Next.js
• Firebase Authentication
• Supabase

• LangGraph and LLM orchestration
• Structured LLM outputs
• Tool-calling workflows
• Provider fallback
• Parser-based output validation
• Human approval and verification flows
• Stockfish engine integration
• ezdxf for AutoCAD automation

• Distributed systems and failure-tolerant services
• Backend architecture and service boundaries
• Linux internals and long-running workloads
• Networking, concurrency, and memory fundamentals
• AI agents with safe and verifiable tool execution
• Real-time synchronization and latency trade-offs
• Simulation systems and autonomous decision loops

• Correctness before cleverness
• Explicit failure handling
• Observable systems over silent systems
• Idempotent and retry-safe workflows
• Simple architectures with clear ownership
• Human verification for high-impact AI actions
• Systems that continue behaving predictably under failure

I enjoy building systems that do not merely work in demos, but remain understandable, observable, and recoverable in production.

• 🌐 Portfolio
• 🧠 QueryMindAI
• ⚙️ Hospital Bulk Processor
• ⚔️ LeetCode
• 📝 Technical Blog
• 𝕏 X / Twitter

• Strength training and disciplined routines
• Architecture and AutoCAD-based design
• Philosophy and Gita studies
• Long-form technical writing
• Systems thinking and long-term problem solving

Reach out through X, explore my projects, or start a GitHub discussion.