Sage
Production-grade agentic RAG system that ingests large-scale networking documentation and answers natural-language queries over complex technical content.
- Hybrid retrieval combining dense semantic search (pgvector + text-embedding-3-large) with BM25 sparse retrieval, merged via reciprocal rank fusion; sub-100ms p95 latency over 100k+ embedded chunks
- Multi-step agentic loop with tool use that dynamically re-queries and synthesizes across document chunks before generating a final grounded answer
- Fully containerized ingestion and query pipelines in Docker
PythonLangChainpgvectorClaude APIPostgreSQLDocker
GitHubMedOffice AIHackers & Healers 2026
Local-first clinical AI assistant for Ontario primary care — agentic RAG pipeline keeping all patient data on-device.
- Medical billing-code agent reaching 92% accuracy across 35 labeled test cases; 85% latency reduction (4.8s → 0.7s) via hybrid retrieval combining dense embeddings with BM25 sparse search and reciprocal rank fusion
- AI form filler using local OCR (PyMuPDF + Tesseract) to extract any medical form structure and fill all fields from FHIR-like patient records via DeepSeek-R1; renders approved output to a downloadable PDF
- Smart scheduler ranking appointments by a 12-domain clinical risk scorer (diabetes, cardiac, renal, mental health, and more); full FastAPI backend with auth, patient records, and dashboard stats
PythonFastAPIOllamaDeepSeek-R1RAGSQLite
GitHubCelsius1st Place · $500 Prize
Deployed IoT environmental monitoring system for early childcare at the University of Ottawa.
- Wall-mounted ESP32 integrating BME680 (temp, humidity, VOC) and MAX9814 (sound) over I2C; lithium-battery-powered with persistent WiFi streaming
- React Native mobile app for caregivers to monitor real-time and historical classroom readings from any device
- ML anomaly-detection layer flagging air-quality dips, noise spikes, and temperature excursions with real-time alerts
C / C++ESP32React NativeBME680I2CML
GitHubBenny
End-to-end algorithmic crypto trading system ingesting live market data across 6 assets, validated via 5-fold walk-forward cross-validation against a buy-and-hold baseline.
- 50+ engineered features: GARCH(1,1) volatility, Parkinson range estimator, VWAP deviation, OBV, ADX, Stochastic RSI, and multi-timeframe log returns with strict zero-lookahead construction
- Probability-gated risk layer: long if p > 0.65, exit if p < 0.35; 3% take-profit / 1.5% stop-loss; 0.1% fee modeling; per-symbol sizing across a $6,000 paper portfolio
- Live containerized dashboard (Flask, Chart.js, Docker, PostgreSQL) tracking equity curve, per-symbol P&L, and trade history against live Binance feeds
PythonXGBoostPostgreSQLDockerFlaskCCXT
PrivateThermal MPCResearch
Stochastic simulation and Model Predictive Control for steam-assisted heavy oil recovery, targeting a 5-10% reduction in steam-to-oil ratio vs. heuristic baselines.
- Stochastic environment modeling delayed nonlinear dynamics: steam injection to reservoir temperature to production output; 100k+ synthetic multivariate time-series observations
- Constrained MPC with a learned PyTorch state-space model solved in CasADi, optimizing steam injection policies under physical constraints
PythonPyTorchCasADiMPCNumPyStochastic Control
GitHubAzadiIntel Platform
Palantir Gotham-style threat network intelligence dashboard analyzing actor dynamics during the Iranian Revolution (1979-1981) via GDELT event data.
- Ingested GDELT 1.0 bulk data into a directed weighted NetworkX graph; nodes typed by CAMEO actor codes across Government, Military, Religious, and Opposition factions
- Louvain community detection (20 communities, modularity 0.10); PageRank + HITS composite influence scoring
- Daily z-score anomaly detection surfacing 15 event spikes including the Nov. 4, 1979 US Embassy hostage crisis; interactive Dash + Cytoscape dashboard
PythonNetworkXGDELTDashSQLiteGraph Analytics
PrivateCisco Networking HomelabInfrastructure
Physical enterprise networking lab built from Cisco hardware — OSPF, BGP, IPsec VPN, and QoS under real traffic conditions.
- 5-device lab: ASA 5520 firewall, two 2911 ISRs, and an L3 switch; configured OSPF multi-area, eBGP peering, GRE tunnels, IPsec site-to-site VPN, and QoS policies end-to-end
- Proxmox hypervisor running VMs bridged into the physical network; site-to-site VPN tunneled to a cloud VPS for realistic WAN simulation
- Automated device polling via Netmiko/SSH script replacing 15+ manual CLI commands; 22 pytest assertions validating interface state, routing tables, and VPN tunnel status
Cisco ASAOSPF / BGPIPsec VPNProxmoxNetmikoPython
GitHubNeural Network from Scratch
Feedforward neural network built from scratch using only NumPy. No ML frameworks.
PythonNumPyBackprop
GitHubTransformer from Scratch
Full transformer architecture in pure Python. Attention, positional encoding, multi-head, no frameworks.
PythonAttentionNLP
GitHubTCP Load Balancer
Layer-4 TCP proxy in Go using raw Linux epoll. Sustains 50k concurrent connections with round-robin and least-connections scheduling.
GoLinuxepollTCP
GitHubIngestion Engine
Concurrent ingestion service sustaining 20k req/s. Worker pools, connection pooling, p95 latency cut 35% via pprof profiling.
GoPostgreSQLpprof
GitHub