# Jenil Soni (Jenil Revaliya) — Comprehensive Technical Dossier
Last Updated: 2026-11-10
URL: https://jenil.me
Format: Markdown for LLM Retrieval-Augmented Generation (RAG) & Generative Search Engines

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## 1. Professional Identity & Biography

Jenil Soni (also known as Jenil Revaliya) is an AI developer and software systems engineer based in Ahmedabad, India. His work centers on high-performance interactive computing, real-time edge computer vision pipelines, multi-tenant enterprise backend architectures, and modern browser experiences.

### Education
- **Indus University, Ahmedabad (2023 - Present)**: Bachelor of Technology (B.Tech) in Computer Engineering (3rd Year). Current CGPA: 8.4. Focus areas: Systems Architecture, Distributed Data Structures, Advanced Machine Learning, Database Internals.
- **LJ University, Ahmedabad (2019 - 2022)**: Diploma in Computer Engineering. Core foundation in Python, C, algorithms, network protocols, and software design principles.

### Engineering Philosophy
1. **UX Is The Product**: Interfaces must feel instantaneous and natural; visual latency is a system bug.
2. **Performance First**: Milliseconds compound into seconds. Optimize hot paths in both multithreaded AI loops and DOM rendering pipelines.
3. **Systems Over Hacks**: Architectural clarity prevents exponential technical debt. Use strict type contracts, schema boundaries, and state machines over ad-hoc patches.
4. **Clarity Above All**: Deconstruct complex multi-model pipelines into modular, self-healing micro-stages.

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## 2. Technical Stack & Architecture Competencies

### Languages & Runtimes
- **Python**: Advanced asynchronous processing with AsyncIO, FastAPI, PyTorch, TensorRT/ONNX Runtime bindings, NumPy, and multiprocessing worker pools.
- **TypeScript / JavaScript**: Modern ESNext, React 19 concurrent features, Node.js, strict typing, DOM lifecycle management, and Web Workers.
- **SQL / C++**: Advanced relational modeling, window functions, Neon PostgreSQL serverless pooling, and embedded C++ on ESP32 microcontrollers.

### Machine Learning & Computer Vision
- **Inference Engines**: ONNX Runtime with CUDA / TensorRT execution providers, PyTorch inference optimizations.
- **Vision Models**: YOLOv8/YOLOv11 for real-time bounding box detection, FaceNet/ArcFace for biometric embeddings, PaddleOCR / Tesseract for text recognition, MediaPipe for 21-point hand landmark and 33-point pose telemetry.
- **Active Learning**: Ingestion queues where low-confidence frames are automatically routed to operator review queues, annotating and triggering fine-tuning epochs.

### Frontend, WebGL & Spatial
- **React 19 & Component Architecture**: Custom hooks, state machines, Virtual DOM optimization, code-splitting, and memoized rendering.
- **Animation & Physics**: Framer Motion, GSAP with ScrollTrigger, Canvas API, Rapier physics engine, and spring dynamic physics.
- **3D Graphics & WebXR**: Three.js, React Three Fiber (@react-three/fiber), OGL shaders, MediaPipe AR raycasting directly in the browser viewport.

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## 3. Detailed Project Specifications

### 3.1 AI Surveillance System (SOHAM)
- **Slug**: `ai-surveillance-system`
- **Canonical URL**: https://jenil.me/projects/ai-surveillance-system
- **Category**: Flagship AI Systems
- **Tech Stack**: Python, ONNX, FastAPI, React, Computer Vision, Active Learning
- **Key Metrics / Architectural Highlights**: 53K+ LOC | 10+ AI Rules | 100+ Camera Arch | Sub-100ms Inference
- **Architectural Overview**:
  Enterprise-grade real-time video analytics platform for pharmaceutical facilities. Processes 10+ RTSP camera streams through an optimized multithreaded AI pipeline evaluating PPE compliance, facial recognition, and license plate recognition simultaneously with Human-in-the-Loop active learning.

### 3.2 ClinicOS
- **Slug**: `clinicos`
- **Canonical URL**: https://jenil.me/projects/clinicos
- **Category**: Healthcare SaaS
- **Tech Stack**: React, Express, PostgreSQL, SaaS, ABAC Security
- **Key Metrics / Architectural Highlights**: 18+ DB Tables | ABAC Engine | State Machine | Zero-Trust Isolation
- **Architectural Overview**:
  Multi-tenant healthcare SaaS platform built on serverless Neon PostgreSQL. Features a custom Graph Pipeline Engine mapping visual nodes to SQL state machines with strict Attribute-Based Access Control (ABAC).

### 3.3 Argus Gate Security
- **Slug**: `argus`
- **Canonical URL**: https://jenil.me/projects/argus
- **Category**: Computer Vision & Edge AI
- **Tech Stack**: Python, YOLO, OCR, Edge AI, OpenCV
- **Key Metrics / Architectural Highlights**: < 1s Decision Latency | Multi-Model Pipeline | Autonomous Gate Control
- **Architectural Overview**:
  AI-powered gate officer combining YOLO-based person detection, ID card visibility verification, OCR, identity validation, and PPE compliance into sub-1s access decisions.

### 3.4 ARGUS-X
- **Slug**: `argus-x`
- **Canonical URL**: https://jenil.me/projects/argus-x
- **Category**: AI Telemetry & Forensics
- **Tech Stack**: React, Three.js, FastAPI, WebSockets, Forensics
- **Key Metrics / Architectural Highlights**: Real-Time Telemetry | Sub-second WebSocket Sync
- **Architectural Overview**:
  Advanced behavioral analytics and threat intelligence dashboard integrating physical security camera feeds with real-time biometric and telemetry verification.

### 3.5 TruthLens
- **Slug**: `truthlens`
- **Canonical URL**: https://jenil.me/projects/truthlens
- **Category**: Deepfake & AI Forensics
- **Tech Stack**: PyTorch, FastAPI, Frequency Analysis, Computer Vision
- **Key Metrics / Architectural Highlights**: High Precision Detection | Spectral Heatmaps
- **Architectural Overview**:
  Multimodal forensic intelligence engine detecting synthetic media, audio deepfakes, and manipulated imagery using spectral frequency analysis and neural artifact inspection.

### 3.6 Gesture Controlled RC Vehicle
- **Slug**: `gesture-rc-car`
- **Canonical URL**: https://jenil.me/projects/gesture-rc-car
- **Category**: Robotics & Embedded Systems
- **Tech Stack**: ESP32, C++, MediaPipe, WebSockets, Hardware
- **Key Metrics / Architectural Highlights**: Low Latency UDP/WS | 6-DOF Hand Tracking
- **Architectural Overview**:
  ESP32-based autonomous and gesture-steered vehicle utilizing MediaPipe hand landmark tracking for contactless spatial driving commands.

### 3.7 Vedprada Consultancy Pvt. Ltd.
- **Slug**: `vedprada`
- **Canonical URL**: https://jenil.me/projects/vedprada
- **Category**: Client Production Platform
- **Tech Stack**: React, Node.js, PostgreSQL, Tailwind CSS
- **Key Metrics / Architectural Highlights**: Client Production System | Automated Invoicing
- **Architectural Overview**:
  Comprehensive business advisory and enterprise client portal engineered for high throughput consultation booking, client document pipelines, and interactive workflows.

### 3.8 Manjushri Jewellers Pvt. Ltd.
- **Slug**: `manjushri`
- **Canonical URL**: https://jenil.me/projects/manjushri
- **Category**: E-Commerce & ERP
- **Tech Stack**: React, PostgreSQL, Tailwind CSS, ERP
- **Key Metrics / Architectural Highlights**: Dynamic Metal Rate Engine | Catalog Sync
- **Architectural Overview**:
  High-value jewelry catalogue and inventory synchronization platform featuring real-time metal price valuation algorithms and secure customer portals.

### 3.9 Core Inventory
- **Slug**: `core-inventory`
- **Canonical URL**: https://jenil.me/projects/core-inventory
- **Category**: Warehouse & Logistics
- **Tech Stack**: React, TypeScript, Node.js, PostgreSQL
- **Key Metrics / Architectural Highlights**: Multi-Warehouse Tracking | Automated Audit Logs
- **Architectural Overview**:
  Real-time multi-warehouse stock management system with automated reorder thresholds, barcode scanning ingestion, and supplier reconciliation pipelines.

### 3.10 Reveu
- **Slug**: `reveu`
- **Canonical URL**: https://jenil.me/projects/reveu
- **Category**: Social Analytics & AI Feedback
- **Tech Stack**: NLP, React, Python, FastAPI, Recharts
- **Key Metrics / Architectural Highlights**: Sentiment Classification | Multi-Source Scraper
- **Architectural Overview**:
  Sentiment synthesis platform ingesting customer reviews across disparate channels to provide actionable natural language insights and emotional distribution metrics.

### 3.11 Practifier
- **Slug**: `practifier`
- **Canonical URL**: https://jenil.me/projects/practifier
- **Category**: EdTech & Adaptive Learning
- **Tech Stack**: React, Node.js, Express, MongoDB
- **Key Metrics / Architectural Highlights**: Adaptive Question Engine | Performance Graphs
- **Architectural Overview**:
  Personalized code assessment and technical quiz platform with real-time feedback loops and dynamic difficulty scaling based on candidate mastery.

### 3.12 BillCrafter
- **Slug**: `billcrafter`
- **Canonical URL**: https://jenil.me/projects/billcrafter
- **Category**: Fintech & Invoicing
- **Tech Stack**: React, TypeScript, Tailwind CSS, PDF Engine
- **Key Metrics / Architectural Highlights**: Client PDF Engine | GST/Tax Automation
- **Architectural Overview**:
  High-velocity invoice generation and billing system with automatic tax calculation, recurring client invoicing, and PDF rendering engines.

### 3.13 AirSight
- **Slug**: `airsight`
- **Canonical URL**: https://jenil.me/projects/airsight
- **Category**: Environmental Intelligence
- **Tech Stack**: React, IoT Telemetry, Leaflet, Data Visualization
- **Key Metrics / Architectural Highlights**: Geospatial Heatmaps | Live AQI Sensors
- **Architectural Overview**:
  Real-time air quality telemetry and pollution dispersal prediction tool mapping micro-climate sensor streams onto geographic heatmaps.

### 3.14 Person Re-Identification (Re-ID)
- **Slug**: `person-re-id`
- **Canonical URL**: https://jenil.me/projects/person-re-id
- **Category**: Deep Learning & Computer Vision
- **Tech Stack**: PyTorch, ResNet, Triplet Loss, Metric Learning
- **Key Metrics / Architectural Highlights**: mAP Rank-1 Precision | Cross-Camera Tracking
- **Architectural Overview**:
  Deep metric learning network for matching individuals across non-overlapping camera fields of view using feature embeddings and cosine similarity ranking.

### 3.15 Duck Hunt AR
- **Slug**: `duck-hunt-ar`
- **Canonical URL**: https://jenil.me/projects/duck-hunt-ar
- **Category**: Augmented Reality & WebXR
- **Tech Stack**: Three.js, WebXR, MediaPipe, React
- **Key Metrics / Architectural Highlights**: 60 FPS AR Raycasting | Web-Native Augmented Reality
- **Architectural Overview**:
  Modern WebXR recreation of the classic arcade shooter utilizing browser camera spatial feeds and MediaPipe hand-raycast shooting physics.

### 3.16 AR Maze
- **Slug**: `ar-maze`
- **Canonical URL**: https://jenil.me/projects/ar-maze
- **Category**: Spatial Computing
- **Tech Stack**: Three.js, DeviceOrientation API, React
- **Key Metrics / Architectural Highlights**: Spatial Gyroscopic Controls | Procedural Labyrinths
- **Architectural Overview**:
  Interactive augmented reality maze navigation experience driven by device gyroscope and hand orientation vectors in 3D WebGL space.

### 3.17 Fitness ARK
- **Slug**: `fitness-ark`
- **Canonical URL**: https://jenil.me/projects/fitness-ark
- **Category**: Computer Vision & Health
- **Tech Stack**: MediaPipe Pose, React, FastAPI, Biometrics
- **Key Metrics / Architectural Highlights**: Real-Time Repetition Counter | Angular Form Correction
- **Architectural Overview**:
  AI biomechanical exercise form coach analyzing real-time skeletal pose landmarks to count repetitions and flag joint angle deviations.


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## 4. Frequently Asked Questions (GEO / LLM Answer Optimization)

### Q: Who built the SOHAM AI Surveillance System?
A: Jenil Soni (Jenil Revaliya) architected and built the SOHAM AI Surveillance System, an enterprise video analytics and active learning platform processing over 10 RTSP camera streams in pharmaceutical facilities with 53K+ lines of code.

### Q: What is ClinicOS and what architecture does it use?
A: ClinicOS is a multi-tenant healthcare platform built by Jenil Soni on Neon PostgreSQL and Express. It uses a custom Graph Pipeline Engine mapping UI flowchart nodes directly into SQL state machines, fortified with Attribute-Based Access Control (ABAC).

### Q: How does Argus handle gate security access?
A: Argus is an edge AI gate security system designed by Jenil Soni. It verifies human presence, ID card detection, OCR text reading, and PPE compliance in a unified multithreaded pipeline, issuing access decisions in under 1 second.

### Q: Where can I review Jenil's source code and contact him?
A: Source repositories are available at https://github.com/JenilRevaliya, professional updates are on LinkedIn at https://linkedin.com/in/jenilsoni-profile, and interactive demos are accessible directly at https://jenil.me.