Machine Learning Engineer — focused on deep RL, computer vision and systems that hold up under pressure.
01 — About
Ilikesolvingproblemswithdata,andbuildingthemodelsthatdoit.
Final-year CSE (InfoSec) student at VIT Vellore, focused on machine learning, data science and AI, with cybersecurity on the side. Solid grounding in programming and DSA; I'd rather reach for a data-driven answer than a guess.
Right now I'm building real experience in predictive modelling and data analysis, and going deeper into neural networks and reinforcement learning. I also build mobile apps in Flutter.
Curious and quick to adapt. Looking to build things that matter and grow in ML, data science and AI.
ritikrana8596@gmail.com
02 — Selected work
Four projects, from reinforcement learning to supply-chain defence
A Deep Q-Learning portfolio rebalancer that learns its policy from historical market data, wrapped in a Flutter app for goal setting, backtesting and rebalancing suggestions.
Next-day directional prediction for 15 large-cap equities. XGBoost over price and sentiment features, FinBERT scoring the day's headlines, and per-feature TreeSHAP attributions behind every call — with a plain-English rationale written only from those attributions, so it cannot invent a story the model did not tell.
A virtual campus tour for new students — maps, departments and facilities in one Flutter app, designed around a single uninterrupted navigation flow.
Supply Chain Behavioral Fingerprinting: eBPF records what a package actually does while it installs, a Temporal Graph Network turns that into a behavioural fingerprint, and it is scored against what legitimate packages of its type do. Matches the OSCAR benchmark's F1 at ~30x lower per-package latency.
03 — Path
Internship·Martvalley Online Pvt. Ltd
04 — Toolkit
Click a cap, or type its corner letter. Space clears the display.
05 — Contact
Got something worth building?
