Projects
Independent Projects
In progress
Reinforcement Learning from Verifiable Rewards
- Document extraction environment: an agent reads PDF invoices and receipt emails and returns key fields as structured output, with PII masked before any text leaves the machine.
- Every rollout is graded by field, numeric, and line-item F1 verifiers, composed into one scalar reward.
- Credit underwriting environment: an agent decides on synthetic loan applications, end to end — applicant in, verified reward out.
- Deterministic verifiers check DTI arithmetic, policy application, decision label, and cited evidence.
Live demo
Autonomous Data Science Agent
- Closed loop: EDA → cleaning → feature engineering → modeling → evaluation → critic.
- An LLM-as-a-judge critic reviews each run and its structured recommendations drive the next iteration — no hardcoded rules.
- Streamlit app: upload a CSV, pick a target, and watch every step run live.
- Exports the best iteration as a standalone Jupyter notebook.
Live
AnayaVerse
- Little Learners: interactive ebooks for young children, with tap-to-speak narration.
- Little Maestro: a music playground where every instrument is synthesized in the browser — no audio files, works offline.
- Designed, built, and deployed end to end.
Professional Projects
AI-Powered HTML Receipt Parser
- Replaced a high-cost third-party vendor with an in-house AI platform.
- Novel ML approach reads fields straight from receipt HTML, bypassing traditional OCR pipelines entirely — granted a US patent.
- Delivered multimillion-dollar annual savings.
- Supports 10M+ users and 600+ brand partners.
RAG Pipeline for Product Match Intelligence
- Reframed product matching from an accuracy problem to a revenue-aligned one.
- Failure analysis surfaced a Pareto distribution in unmatched items.
- Two-track strategy lifted coverage 45% across millions of daily line items.
User Engagement & Retention Analytics
- Composite engagement scoring across millions of active users.
- Cohort-based retention analysis and churn prediction models.
- Experimentation layer for A/B testing product changes.