Projects
Building solutions that make an impact
01
Phantom
Cybersecurity Automation Framework
Phantom
Modular cybersecurity automation framework integrating 10+ security tools with real-time vulnerability triage and intelligent VM orchestration.
PythonDjangoASGISQLmap
02
PulseBoard
Real-time Project Health Dashboard
PulseBoard
Real-time project health dashboard helping managers track delivery risks across multiple tools with deadline risk prediction.
ReactNode.jsSQLREST APIs
03
Gator-Taxi
Campus Taxi Dispatch System
Gator-Taxi
Advanced ride management system using Red-Black Trees and Min-Heaps for efficient taxi dispatching.
C++Red-Black TreesMin-HeapsAlgorithm Design
04
Network Intrusion Detection
ML-based Cyber Attack Detection
Network Intrusion Detection
Intelligent network intrusion detection system using multiple ML/DL algorithms for binary and multi-class attack classification.
PythonTensorFlowNumPyPandas
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More Projects
Project Highlights
Phantom
- Improved threat detection accuracy by 80%
- Optimized scan allocation by 45%
- Accelerated asset coverage by 3x
- Improved scan-to-report SLAs by 90%
PulseBoard
- Cross-tool integration (Jira, Trello, Slack)
- Deadline risk prediction using ML
- Team workload visualization
- SQL-backed reporting
Gator-Taxi
- Cut pickup times by 50%
- Reduced wait times by 30%
- Reduced idle time by 40%
- Dual-indexing with RB Trees & Min-Heaps
Network Intrusion Detection
- 8 ML/DL algorithms implemented
- Binary and multi-class classification
- Uses NSL-KDD dataset
- Deep learning with LSTM & Autoencoder
OutBrew
- 96K+ lines TypeScript / 138K+ lines Python
- 37 dashboard pages, 145 React components, 53 API endpoints
- 9-layer extraction engine with 28+ ML/DL services
- Document management with AI parsing (resumes + info docs)
- Cached research + email library with 7-day freshness TTL
- Email warming, follow-up queue, template marketplace
VelaReach
- 9 microservices: FastAPI + Go + Kong API Gateway
- 10 ad platforms (Meta, Google, TikTok, LinkedIn + 6 more) with full CRUD
- 11 attribution models: Markov, Shapley, Bayesian, LSTM, Thompson Sampling
- Bayesian Media Mix Modeling + budget optimizer
- FLUX 1.1 Pro image gen + Claude ad copy (30+ languages)
- ClickHouse OLAP — 111M rows in 1.1s, 807 automated tests
CourtNetra
- 3 codebases: Express.js backend + Next.js web + Expo mobile
- 19,660 courts: SCI + 25 HCs + 18,735 District/Subordinate + 899 Tribunals
- 268 API endpoints, 41 web pages, 37 mobile screens
- 12 AI features powered by Anthropic Claude
- Offline-first mobile with SQLite cache + background sync
- 8-language i18n including Hindi, Marathi, Tamil, Bengali
Badhiya AI
- 3 repos: NestJS backend + Next.js 16 web + Expo SDK 55 mobile
- 175 REST endpoints across 20 controllers, 18 feature modules
- 7-layer AI pipeline (intent → cache → semantic → LLM cascade → CRAG)
- ONDC Beckn BPP integration for government e-commerce protocol
- Hindi-first voice UI with Bhashini language AI
- Embedded NBFC lending via FlexiLoans + AA consent
UNJYNX
- 3 repos: Flutter monorepo (24 packages) + Next.js web + Hono backend
- 300+ API endpoints, 37 modules, 54 DB tables, 15 middleware layers
- 61+ mobile screens, 38 web pages, 8 notification channels
- Self-hosted Logto OIDC with Google OAuth + MFA
- Drift SQLite offline-first with LWW field-level conflict resolution
- ML service with Thompson Sampling + LinUCB bandit algorithms