vadhh@localhost: ~
vadhh@localhost:~$ whoami
VADHH - AI Engineer | MLOps Specialist | Cybersecurity Enthusiast
# Building privacy-first AI systems and breaking things to understand how they work
        
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vadhh@localhost:~$ cat skills.txt
OPERATIONAL_CAPABILITIES
[ AI_ENGINEERING ]
Event-driven Architecture using Redpanda and Llama 3. Offline RAG with Qdrant and Ollama.
[ MLOPS_ENGINEERING ]
Pipeline automation using MLflow, Docker containerization, and GitHub Actions.
[ FULL_STACK_ARCH ]
Hybrid systems using Laravel 10 and Next.js 14. Type-safe frontends with robust SQL/NoSQL backends.
vadhh@localhost:~$ tail -f /var/log/projects.log
PROJECT_LOGS
[2026-01-02 19:30:05] PROJECT_00: PULSESTREAM_REALTIME_INTEL ◉ LIVE_FEED
[MISSION] Real-Time AI Financial Market Intelligence
[OUTCOME] Engineered an event-driven data pipeline. Ingests news streams via Redpanda, performs sentiment analysis using local Llama 3 (Ollama), and visualizes insights via WebSockets. Achieved self-healing, containerized architecture with sub-25ms latency.
STACK :: [ Redpanda / Llama 3 / Redis / Qdrant / Docker ]
REPO :: github.com/vadhh/pulsestream
[2024-12-30 14:23:11] PROJECT_01: VAULTSEARCH_LOCAL_RAG ✓ DEPLOYED
[MISSION] Privacy-First Document Search (No Cloud APIs)
[OUTCOME] Engineered a secure, offline RAG system. Orchestrated Llama 3 (Ollama) and Qdrant for semantic search, eliminating data leaks. Built a FastAPI backend with sliding-window chunking for sub-second retrieval latency.
STACK :: [ Llama 3 / Qdrant / LangChain / FastAPI / Next.js ]
REPO :: github.com/vadhh/vaultsearch
[2024-11-15 09:47:33] PROJECT_02: CUSTOMER_SEGMENTATION_ENGINE ◉ ACTIVE
[MISSION] Revenue Uplift Modeling for Accenture/Dicoding Capstone
[OUTCOME] Developed clustering model identifying high-value customer segments, projecting potential $22.4M revenue uplift. Built interactive dashboard for real-time cluster trait visualization.
STACK :: [ Python / Streamlit / PCA / Scikit-learn ]
REPO :: github.com/vadhh/Capstone-Project-A25-CS286
[2024-10-08 16:12:59] PROJECT_03: TELCO_CHURN_PIPELINE ✓ DEPLOYED
[MISSION] End-to-End ML Lifecycle Automation
[OUTCOME] Moved beyond "notebook data science" by containerizing training pipeline. Integrated MLflow for experiment tracking and GitHub Actions for automated testing/deployment, reducing manual intervention by 90%.
STACK :: [ Docker / MLflow / GitHub Actions / CI/CD ]
REPO :: github.com/vadhh/telco-churn-mlops
[2024-09-22 11:34:18] PROJECT_04: CONTACTLESS_ORDERING_PLATFORM ◉ ACTIVE
[MISSION] SaaS-style Digital Menu Solution
[OUTCOME] Full-stack QR ordering platform with dual-interface architecture (Client vs Admin). JWT-based session security, real-time cart state management, optimized SEO rendering.
STACK :: [ Next.js 14 / MongoDB / NextAuth / Tailwind ]
REPO :: github.com/vadhh/contactless-ordering-platform
[2024-08-14 13:56:42] PROJECT_05: RETAIL_POS_WORKFLOW_SYSTEM ✓ DEPLOYED
[MISSION] Retail Transaction & Workflow Management
[OUTCOME] Engineered hybrid monolith POS system handling high-volume transactions. Implemented custom Workflow Engine tracking order states (Pending → Processing → Quality Check) with RBAC security protocols.
STACK :: [ Laravel 10 / Vue.js / MySQL / State Machines ]
REPO :: github.com/vadhh/laravel-vue-pos-system
# End of log file
vadhh@localhost:~$ ls -la /contact/
vadhh@localhost:~$ cd ~/games/ && ./snake.exe
ENTERTAINMENT_SUBSYSTEM
# Warning: Productivity may decrease.
# Status: READY_TO_PLAY

[ EXECUTE_SNAKE ]
vadhh@localhost:~$
UPTIME:1337 days
LOAD:0.42, 0.38, 0.35
MEM:84% used
NET:10Gbps
STATUS:ONLINE