Shipped Projects

Backends, AI integrations, Kubernetes operators & control panels & deployments, and full-stack products.

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Projects

Backends, AI features, Kubernetes setups, and full-stack products. Code, docs, and runbooks included.

AI Platform

contenox — AI Platform & RAG Architecture

Built an AI orchestration platform from scratch — multi‑step workflows, RAG pipelines, and model routing. Outcome: production‑ready engine capable of complex agentic tasks.

Scale: 23 services, ~150k LOC
Tech: Go, React 19, OpenAI‑compatible runtime
Features: State machine, secure JS code execution sandbox, AI Agent Orchistration, standardized LLM tools & hooks

AI • Platform • RAG • Go • React

SaaS Product

TechCareer — SaaS Architecture (Next.js 16)

Full‑stack B2C AI SaaS. Outcome: revenue‑ready product with subscriptions and automated CV analysis.

Stack: Next.js 16, React 19 Server Components, Supabase
Billing: Stripe subscriptions
Features: PDF parsing, AI content generation, onboarding flows

SaaS • Next.js • Stripe • Supabase

Kubernetes-native workflow engine dashboard — K8s Platform

Direktiv — Kubernetes‑Native Engine

Event bus and observability improvements for Kubernetes-native workflow engine. Outcome: 10× event throughput and <5ms latency on critical paths.

Controllers: Go, Knative, PostgreSQL
Observability: OpenTelemetry, Fluent Bit, Prometheus
Open‑source PRs: Slog redesign, Helm chart integration, Grafana integration

Kubernetes • Go • Observability • Event Streaming

ERPNext on AWS — Terraform + Custom AI Apps

Production ERPNext deployment on AWS with Kubernetes. Custom Frappe apps for AI-powered document processing and workflow automation.

Infra: Terraform, EKS, RDS, S3, CloudFront
Custom Apps: AI document extraction, automated approvals
Tech: Python, Frappe Framework, OpenAI API

Terraform • AWS • Kubernetes • ERPNext • AI

Research platform for developer interaction analytics — Research Platform

University Research — Developer Analytics

Academic research project building telemetry collection and analysis platform for developer workflow studies. Full-stack development from Eclipse plugin to web analytics dashboard.

Challenge: Collect and analyze developer interaction data at scale for academic research on programming workflows.
Solution: Eclipse plugin telemetry, Java/Jakarta EE backend, Python analytics pipeline, and React visualization dashboard.
Outcome: Published research on developer navigation patterns and successful data collection from multiple study participants.

ResearchJavaAnalytics