Offerings
Engineered Consulting Services
I design robust, customized technical architectures that solve specific data, interface, and prediction challenges for teams worldwide.
AI & Data Optimization
I specialize in constructing customized Hybrid RAG (Retrieval-Augmented Generation) pipelines. By combining vector semantic spaces (Qdrant, Milvus, Pinecone) with sparse keyword queries, I maximize LLM context window relevance. I optimize text chunks, build precise indexing structures, and automate text classification pipelines to ensure speed and accuracy.
PROJECT BLUEPRINT DELIVERABLES
- Vector DB Ingestion: Qdrant, Pinecone
- Context Ingestion Speed: < 150ms latency
- Accuracy Benchmark: > 92% Retrieval Precision
- Infrastructure setup: Dockerized pipelines
Full Stack Web Engineering
I build performant, highly responsive frontend interfaces that make underlying AI operations visible and manageable. Using React and Next.js, I construct dashboard structures featuring live data streaming via WebSockets, authentication gates, and responsive CSS charts (Tailwind). These frontends communicate with robust FastAPI or Node backends, offering highly secure RESTful schema layouts.
FRONTEND ARCHITECTURE SUMMARY
- UI Framework: React, Tailwind CSS
- API Architecture: RESTful, WebSockets
- First Input Delay: < 50ms (optimized)
- State Configuration: Redux Toolkit, Context API
Custom Machine Learning Solutions
I develop specialized machine learning solutions, particularly focusing on real-time computer vision streams and computational chemistry models. Using NVIDIA Deepstream and GStreamer loops, I compile multi-stream object tracking frameworks for edge applications. In the chemical domain, I write RDKit and PyTorch scripts to model molecules, analyze compounds, and train models for material or biochemical predictions.
ML MODEL SPECIFICATIONS
- Streaming Framework: Nvidia Deepstream SDK
- Model Architectures: CNN, YOLO, LSTM
- Runtime Environment: Docker (CUDA core enabled)
- Inference Performance: Edge optimized (FP16 / INT8)
Session Guitarist & Music Performance
I provide professional live guitar accompaniment and high-quality session tracking. Backed by 8 years of playing experience on acoustic, classical, and electric guitars, I am available to perform at café gigs, private events, weddings, or help record clean tracks for your studio productions and YouTube cover projects.
MUSIC PORTFOLIO SUMMARY
- Primary Styles: Classical, Fingerstyle, Pop
- Experience: 8+ Years playing
- Deliverable Format: WAV, FLAC, Live Gigs
- Booking Lead Time: Minimum 1 week notice
Academic Tutoring & Skill Mentorship
I provide high-quality, personalized 1-on-1 tutoring sessions to help you master technical subjects. Drawing on my background as a top-ranking UGM Computational Chemist, software engineer, and long-time guitarist, I help students write clean code, tackle complex organic chemistry topics, or learn classical and acoustic guitar fingerstyle methods.
MENTORSHIP & LESSON DETAILS
- Core Subjects: Coding, Chemistry, Guitar
- Target Levels: Beginners to Master's
- Session Platform: Zoom, GMeet, Discord
- Booking Notice: Minimum 3 days notice
Methodology
The Scientific Method of Engineering
How I collaborate with clients, translating initial observations into production-ready pipelines.
Observation
Analyzing the specific challenge. I examine your datasets, map out complex processing loops, and draft the initial system architectural layout.
Synthesis
Building the core logic. I construct clean Python data pipelines, configure vector schemas, and compile initial proof-of-concept models.
Refinement
Benchmarking system speeds. I containerize the services using Docker, optimize parameters, and connect the interactive React client interfaces.
Launch
Deploying systems to production or edge configurations, establishing continuous deployment streams, and monitoring operational telemetry.