Ewan John Dennis
AI/ML Engineer | Software Developer
Computer Science Engineering student with hands-on experience building agentic AI systems, ML pipelines, and data-intensive backend systems. Shipped a production multi-agent market intelligence platform during my Infosys Springboard internship and built a content decay scoring model at FlyRank AI against a 175K-page warehouse. Work well independently, iterate quickly, and care about systems that hold up outside controlled environments.
Currently
3rd-year B.Tech Computer Science Engineering student at Model Engineering College, Kochi. Actively looking for AI/ML engineering and SDE internship opportunities.
Selected Work
RTIIS — Real-Time Industry Insight & Strategic Intelligence System
Multi-agent market intelligence platform — parallel agents, FAISS RAG, PyTorch LSTM forecasting. Data-collection latency cut by up to 3x.
Python · Groq · FAISS · PyTorch · MongoDB
Kavach — AI Chargeback Decisioning System
Solo build for Razorpay AI Buildathon. XGBoost + SHAP + EV-based routing to AUTO_CONTEST, MANUAL_REVIEW, or AUTO_ACCEPT. Evidence-grounded representment drafts, no LLM hallucination.
XGBoost · SHAP · FastAPI · SQLite
TrainCLI — End-to-End ML Training CLI
PyPI-published. Trains scikit-learn and XGBoost models from a CSV in one command. Ships with an MCP server exposing training and inference as agent-callable tools.
Python · scikit-learn · XGBoost · MCP
Huddle — Real-Time Campus Collaboration Platform
Real-time study session finder with sub-100ms Firestore sync. 2nd Prize at Techsprint (GDGC MEC), ~40 teams.
React · Firebase · Vercel
Technical Focus
Python · LightGBM · scikit-learn · PyTorch · FastAPI · RAG · Multi-Agent Systems · React · Firebase · Docker