
Programmatic: Production Consumer Web Platform
Performance-optimized Next.js consumer platform with integrated AI support, lead collection pipelines, and CDN-delivered image assets.
Systems, models, and tools built across AI, data, and automation.
2019 – 2026

Performance-optimized Next.js consumer platform with integrated AI support, lead collection pipelines, and CDN-delivered image assets.

Full-stack marketplace on Next.js 16 and PostgreSQL with Stripe payments, role-based admin panels, a RAG chatbot, and Inngest worker automation.

Dockerized semantic search engine and NLP pipeline with OCR, entity extraction, and relational knowledge graphs from unstructured documents.

Open-weight RL framework for Vision-Language Models that incentivizes step-by-step visual reasoning using PPO, GRPO, and Reinforce++.

A tokenized Solana index fund featuring automated portfolio rebalancing, DAO governance, and performance-based dividends.

Automated workflow for business prospecting—web scraping, data enrichment, CRM sync, and personalized analytics-ready datasets.

Interactive medical dashboard processing 55,000+ clinical records with billing insights, admission metrics, and demographic distribution.

ML-driven predictive engine for F1 races, using ensemble learning and timeseries analysis. Monaco GP 2025: within 5% accuracy.

GPT-4.0-powered multilingual chatbot for language learning. NLU, reinforcement learning, and multimodal input; 60% error reduction.

DQN and PPO agents trained to play Super Mario Bros directly from raw pixel data with custom reward shaping and environment wrappers.

Super-res GAN for ultra-high-fidelity image restoration. Achieved clear medical imaging results with robust benchmarking.

Autonomous ML-Ops runner for rapid 5-minute pretraining experiments on a lightweight PyTorch GPT architecture, optimized for local hardware.

Advanced deepfake generator with custom GANs and image-to-image translation for authentic, flexible video synthesis.

Custom high-performance time series analytics and forecasting with Python, offering sub-second predictions on market or ops data.

Battle-tested prompting specifications, framework-agnostic system files, and reusable automation rules for agentic code generation.

Bare-metal implementations of linked lists, chaining hash tables, and matrix manipulators focused on pointer geometry and cache efficiency.

Deep investigation into C memory architecture—pointer arithmetic, dynamic allocation, reference passing, and debugging under LLDB/GDB.

Low-level suite demonstrating MIPS-32 stack frame allocation, register preservation across deep recursions, and machine instruction encoding.