Engineering intelligentsystems that ship.
I'm Fadly — a Senior Software Engineer and Product Engineer. I build agentic AI systems with LangGraph and MCP, and deliver scalable fullstack platforms end-to-end — from event-driven backends to polished frontends.
MicroservicesServiceNowAgentic AI
shipping
TensorFlow
Next.js
React
Golang
Python
TypeScript
Kubernetes
AWS
GCP
PostgreSQL
RabbitMQ
RedisServiceNowTensorFlowNext.jsReactGolangPythonTypeScriptKubernetesAWSGCPPostgreSQLRabbitMQRedisServiceNowA builder who ships — from agents to full-stack platforms.
Senior Software Engineer and Product Engineer with 6+ years building scalable backend systems, modern web applications, and agentic AI products.
Strong in Python, Golang, and TypeScript — with hands-on work across microservices, APIs, cloud data pipelines, and AI-powered workflow automation.
Built autonomous AI solutions that reduced operational costs by 40%, delivered middleware for large-scale data migration that cut vendor costs by 25%, and developed internal tools that automated workflows and document retrieval.
What I build — and how.
AI systems that run in production — agentic workflows, scalable backends, and cloud-native platforms.
Agentic AI Systems
Autonomous agents with LangGraph and MCP for workflow automation, ServiceNow integration, and multi-source retrieval. Production deployments for financial reporting and L2 support tooling.
Scalable Microservices & BFF
REST / gRPC APIs in Go and Python. BFF layers for complex client-server orchestration, event-driven pipelines with RabbitMQ. Deployed on Kubernetes across AWS and GCP.
GolangPythongRPCBFFRabbitMQPostgreSQLCloud & Data Pipelines
CI/CD, observability, and scaling for high-volume platforms. Data migration middleware, Kubernetes on GCP and AWS, Redis for caching.
KubernetesAWSGCPRedisDocker
CI/CDApplied Machine Learning
Deep learning and classification models with TensorFlow. Published research on Scrum maturity and computer vision applications.
TensorFlowRAGUnit TestingREST APIsProduct Engineering
Combines product thinking with engineering depth. Mentoring juniors, driving architecture decisions, and shipping AI capabilities 30% faster through reusable agent frameworks.
MicroservicesTensorFlowServiceNowPythonGolangTypeScriptNode.jsgRPC
GraphQLMicroservicesBFFRabbitMQRedisPostgreSQLKubernetesAWSGCPCI/CDProducts shipped to production.
Mix of agentic AI systems and enterprise fullstack platforms — each with measurable impact.
NihonJung — Your Japanese AI Companion
Mobile-first Japanese learning PWA built to review our own textbook modules — not generic flashcards. Upload chapters → LlamaParse ingests PDFs into Qdrant → one LangGraph run generates a full exercise bank with source-page provenance.
- →Duolingo-style lesson player; answers graded from DB with zero LLM on hot path
- →Kanji recall with streaming STT; live ID/EN ⇄ Japanese interpreter
- →Admin studio to generate, review, and publish content
FastAPIQdrantReactCloud RunPostgreSQLSahaba — Islamic AI Companion App
PWA with dual AI persona agents (Ara & Ari) for Islamic guidance and companionship. Includes Noorish — a chapter-based Islamic learning module with haptic UX and wisdom sharing.
- →Real-time AI chat via WebSocket with streaming LLM
- →Noorish learning module with progress tracking
- →Deployed on Google Cloud Run with Google OAuth + JWT
FastAPI
GeminiReactWebSocketCloud RunRedisPostgreSQLAutonomous Financial Reporting Agent
LangGraph-powered AI agent that automates P&L and Balance Sheet generation for finance teams. Event-driven, resilient, and horizontally scalable.
- →40% ↓ client ops cost
- →80% ↓ manual processing
- →Hours → seconds for ad-hoc data requests
PythonRabbitMQAWSMicroservicesTomato Leaf Disease Classification
Convolutional neural network classifying tomato leaf syndromes — septoria, liriomyza, healthy — with TensorFlow and OpenCV.
- →97% accuracy
- →97% F1-score (macro + weighted)
- →Robust across 3 classes
TensorFlowCNN
OpenCV
NumPyLOGEE — National Logistics Superapp
SaaS logistics platform created to address Indonesia's high logistics costs by connecting a national ecosystem to a global network.
- →National logistics ecosystem
- →40% ↓ dev cost via UI revamp
- →Kubernetes + GCP deployment
Next.jsGoPostgreSQL
KafkaAWSSirkarummi Martech Dashboard
Marketing ops platform with Voucher, Campaign, and Banner management. Drag-drop builders with dnd-kit and a Go + Postgres backend.
- →3 management modules
- →Drag-drop campaign builder
- →Real-time reporting
Next.js
MantineGoPostgreSQLWhere I've built.
Senior Software Engineer
- Independently developed Agentic AI tools with Python and MCP to automate ServiceNow ticket raising and incident identification.
- Built an AI agent connecting Microsoft Graph and internal systems to retrieve and summarize information for L2 support.
- Architected data communication middleware for large-scale MDM migration — 25% ↓ vendor costs.
- Engineered a BFF system in Golang to handle complex UI logic, keeping the frontend a thin, high-performance rendering layer.
Product Engineer
- Architected LangGraph autonomous AI agent for financial reporting — 40% ↓ client operating costs, 80% ↓ manual P&L and balance sheet processing.
- Designed event-driven architecture with RabbitMQ for a resilient AI data pipeline.
- Deployed high-performance microservices on AWS supporting agent workflows and production reliability.
- Shipped 'AI Employee' features — conversational access to company data, cutting ad-hoc requests from hours to seconds.
- Integrated custom tools and APIs into the agentic framework — 30% faster new AI capability delivery.
Fullstack Software Engineer
- Led development of LOGEE, a SaaS logistics platform connecting Indonesia's national ecosystem to a global network.
- Designed REST/gRPC APIs in Go and Python for high-volume enterprise and AI platforms.
- Built responsive frontend interfaces with Next.js, React, and Tailwind CSS for dashboards and admin panels.
- Integrated AI-powered features including LLM-based assistants; led UI revamp — 40% ↓ development cost.
- Delivered scalable microservices on Kubernetes and GCP; mentored juniors and contributed to CI/CD and observability.
Senior Fullstack Engineer
- 30% ↑ user engagement building mobile apps with React Native and dashboards with Next.js and React Query.
- 25% ↑ user engagement delivering responsive interfaces with Next.js and GraphQL for optimized data fetching.
- Refined rendering performance and developer velocity through architectural enhancements.
Frontend Engineer
- 40% ↑ efficiency delivering a real-time dashboard for monitoring OTT streaming platforms.
- Contributed to a project revamp that increased revenue by over 20% in the first year with GraphQL API integration.
- Revamped Web UI and integrated it with the cloud gaming core system for GameQoo.
Master of Information Technology
Bachelor of Information Technology
- Claude Code in Action — Anthropic
- Neural Networks and Deep Learning — DeepLearning.AI
- Machine Learning Foundations: A Case Study Approach — DeepLearning.AI
- Google Business Intelligence — Coursera
- Google Advanced Data Analytics — Coursera
- PCAP — Programming Essentials in Python (Python Institute)
Let's build something real.
If you're shipping an AI product, scaling an enterprise platform, or just need a second pair of eyes on an architecture — I'd love to talk.
Best reached by email. Replies within 48 hours.