My Projects
Enterprise identity platforms, AI/ML systems, and production engineering projects
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Asar — Identity Platform
Identity platform I am building for enterprise authentication: device identity, fingerprinting, risk scoring, and MFA orchestration alongside OAuth2/OIDC/SAML protocol surfaces, session and token lifecycle, and hardened credential handling — a modular IdP foundation for workforce and client identity.
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Rai — Agentic AI for Identity
Production-oriented agentic AI service for identity, assurance, and admin workflows. Combines domain-specialist agents, RBAC-scoped tools, retrieval-augmented generation, and fail-closed safety gates — including step-up authentication, citation enforcement, and versioned prompts — to augment identity platforms through HTTP adapters.
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TrustMobile — Mobile Authenticator
Cross-platform Flutter mobile authenticator for enterprise MFA and device-bound identity. Supports EC P-256 device key generation, push and inline MFA approval flows, offline TOTP, secure pairing with backend identity services, and release hardening including TLS pinning — extending workforce authentication to mobile endpoints.
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Flint Guide
Flint Guide is a real-time AI co-pilot desktop app for high-stakes live session meetings — client consulting calls, discovery meetings, negotiations, and other professional dialogue where you need private, in-the-moment guidance. Captures remote participant audio from the call, transcribes locally with Whisper and RNNoise, and fires parallel directional, depth, and clarifying LLM threads in a stealth overlay invisible to screen-share. RAG over session context via sqlite-vec keeps guidance grounded in your brief, notes, and domain material. Phase 1 ships the job-interview domain (mock sessions, rehearsal, preferred answers) as the first vertical.
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Flint Strike
Unified AI/LLM research product with four public research surfaces: FlintFacts for claim research, FlintOdds for prediction-market research, FlintCast for earnings and SEC filings analysis, and FlintPulse for on-chain and listings research.
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Flint Apply
Flint Apply is an AI-powered job-search platform. Build a persistent master resume by voice (Story Mode + coached interview) or upload, tailor it to any job description through a four-phase agent pipeline, generate cover letters, check job-fit scores, search for matching listings, and track every application — all in one place. Live product at https://flintapply.com; company site at https://theflintai.com. The Flint Apply browser extension (https://github.com/FlintAI-LLC/flint-extension) captures a job description and opens it in Flint Apply.
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Fraud Shield AI
End-to-end fraud detection pipeline for credit card transactions. Covers EDA with timezone-aware feature engineering, scalable PySpark preprocessing, supervised ML, deep learning (MLP/ResNet/LSTM), transformer-based models (FT-Transformer), hybrid ensemble stacking, and a real-time Streamlit inference app with a two-stage risk-tiering system (Auto-Block / Review / Cleared).
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Bank Term Deposit Prediction - Advanced ML Pipeline
A comprehensive ML solution predicting customer term deposit subscriptions using 8+ algorithms with hyperparameter tuning, achieving 60% F1-Score improvement over baseline models.
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Churn Risk Intelligence
Production-ready machine learning solution for predicting customer churn with 84.77% ROC-AUC. Features 16 optimized models, SHAP interpretability, Optuna hyperparameter tuning, and comprehensive business insights.
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Movie Agent Demo
Production-ready Flask web application providing comprehensive REST API and interactive UI for the Movie Agent Service. Features intelligent movie discovery through natural language queries, real-time chat interface with conversation history, movie poster image analysis using computer vision, interactive movie quizzes, and formatted statistics display. Implements encrypted API key storage with local configuration management, session-based memory isolation for multi-user support, and automatic query classification for seamless routing.
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Movie Agent Service
Production-grade core library for AI-powered movie discovery and analysis. Implements RAG-based semantic search using FAISS vector store, tool-calling agent architecture with LangChain (chosen over ReAct for reliability), computer vision poster analysis with BLIP model, interactive quiz generation, and session-based memory management. Built with Python following SOLID principles, dependency injection, and factory patterns for maintainability and extensibility.
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Satellite Signal Strength Prediction
Advanced regression pipeline predicting satellite signal quality from weather conditions using multiple ML algorithms and real-time API data.
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Titanic Survival Prediction
Machine learning project predicting passenger survival using ensemble methods and feature engineering techniques.