Dawn Andrei Pamesa@dawngend
2
Events attended
2
Submissions made
Philippines
1 year of experience
About me
Computer Science student specializing in Data Science at FEU Tech and currently working as a Machine Learning Intern at Flyrank AI. I focus on moving beyond simple LLM wrappers to build utility-driven, stateful AI systems. My experience ranges from engineering production-grade RAG pipelines—integrating persistent vector memory (ChromaDB), local relational data (SQLite), and optimized OCR extraction—to deploying applications on cloud infrastructure. Driven by athletic discipline as a Taekwondo Coach, I thrive in fast-paced hackathons and high-pressure build environments where human judgment and robust system architecture make the difference. Tech Stack: Python, SQL, PyTorch, PL/SQL, AWS, Streamlit, Git.
🤝 Top Collaborators
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🤓 Latest Submissions
ForgeAi
ForgeAI is a hardware-aware AI model optimization platform that automatically finds the fastest, most efficient version of a model for a specific GPU — starting with AMD MI300X. Instead of manually tuning models for each accelerator, ForgeAI runs a 7-phase optimization pipeline: architecture search finds the best candidate structures, knowledge distillation transfers accuracy from a teacher model, pruning removes redundant weights, quantization compresses from FP32 to INT8, benchmarking measures real performance on target hardware, Pareto analysis identifies optimal latency-accuracy tradeoffs, and Optuna hyperparameter tuning auto-optimizes across 6 parameters with 50 trials and early stopping. The platform consists of a FastAPI backend with 9 optimization modules, a Next.js 14 frontend, and WebSocket-based live progress streaming. Users upload a PyTorch checkpoint, select target hardware, set constraints (max latency, max memory, min accuracy), and watch the pipeline execute in real time. Results include a Pareto frontier chart, before/after performance comparison, and export to ONNX or TorchScript. ForgeAI targets the $100B+ AI inference market where hardware-specific optimization is still done manually. Unlike Neural Magic and OpenVINO (CPU-focused, tool-by-tool), ForgeAI is AMD-native, full-pipeline, and open source under Apache 2.0.
13 Jul 2026
Dzuka Agri: Global AI for Huge Farm Ops
Dzuka Agri Intelligence Platform Global multi-agent AI architecture for large-scale commercial farming. Farm managers submit problem, crop image, and GPS. Master Orchestrator coordinates specialized agents (Agronomy & Soil, Pest & Pathology, Climate & Hydrology, Market, Resource, Review) in real-time collaboration. Delivers unified, high-impact recommendations tackling climate, pests, soil, water, markets, and more at enterprise scale. MVP: Next.js frontend, API, Band/OpenAI orchestration. Built for huge operations worldwide. Impact: Reduced losses, optimized inputs, maximum profitability.
19 Jun 2026
