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AI & Agentic Systems Engineer | Computer Vision, Robotics & Intelligent Software
Pune, India

I build intelligent systems that bridge spatial perception, agentic reasoning, and real-world execution. My work spans multi-agent orchestration, real-time computer vision pipelines, native desktop automation daemons, and spatio-temporal neural models.

• 🤖 Agentic & Desktop Systems: Native OS accessibility automation, LLM tool integration, and autonomous desktop daemons.
• 👁️ Computer Vision & Telemetry: Event-driven CCTV behavioral surveillance, spatial tracking, and acoustic signal processing.
• 🌐 Full-Stack & Intelligent Interfaces: High-performance Next.js 16 App Router platforms and real-time dashboard engines.

• Architecture: Native Swift + AXUIElement Accessibility Bridge + Global Hotkey Daemon + Hermes Agent Engine
• Core Tech: Swift, AXUIElement, NSPasteboard, macOS System APIs, Process Piping
• Focus: Zero-latency desktop automation, UI element tree inspection, native chat UI, and hands-free system orchestration without headless web browsers.

• Architecture: Video Ingestion → YOLO Spatial Detection → ByteTrack Object Tracking → SQLite Telemetry Engine → LLM Query Interface
• Core Tech: Python, OpenCV, YOLO, SQLite, FastAPI, HTML5 Canvas Dashboard
• Focus: Converts raw security camera streams into searchable, structured behavioral events and spatial trajectory logs.

• Architecture: Match State Telemetry → Strategy Planner Agent → Tactical Debate Loop → Deterministic Engine → Decision Execution
• Core Tech: TypeScript, Next.js, Node.js, LLM Multi-Agent Orchestration, Cricket Analytics APIs
• Focus: Real-time match situation evaluation using competing agent loops to evaluate probabilistic outcome branches.

• Architecture: Traffic Graph Representation → Spatio-Temporal Neural Model → Signal Timing Optimizer → Real-Time Analytics UI
• Core Tech: TypeScript, Next.js 14, Tailwind CSS, Recharts, Neural Network Simulation
• Focus: Real-time traffic flow prediction and adaptive traffic signal timing optimization using spatial graph embeddings.

• Architecture: Kernel/User Process Collector → Behavior Telemetry Engine → Anomaly Classifier → Security Dashboard
• Core Tech: TypeScript, React, Node.js, Process Monitoring APIs, Event Stream Analytics
• Focus: Lightweight endpoint detection and threat response system detecting malicious process execution patterns.

• Architecture: Next.js 16 App Router + Tailwind CSS v4 + Framer Motion + Server Actions
• Core Tech: TypeScript, Next.js 16, React 19, Tailwind CSS, Framer Motion
• Focus: High-performance editorial eCommerce platform featuring smooth transitions, dynamic catalog filtering, and editorial typography.

• Architecture: Audio Stream Buffer → Mel Spectrogram / MFCC Pipeline → CNN Acoustic Classifier → Spatial Alert Bus
• Core Tech: Python, PyTorch, Librosa, NumPy, Soundfile
• Focus: Ubiquitous acoustic monitoring system trained to detect and localize gunshot signatures from audio feeds.

• Architecture: Live Camera Frame Ingestion → Hand Landmark Extractor → Spatial Gesture Classifier → Text-to-Speech Engine
• Core Tech: Kotlin, Android SDK, CameraX, ML Kit / TensorFlow Lite
• Focus: Real-time mobile accessibility app bridging communication between Indian Sign Language (ISL) users and non-signers.

• GitHub: github.com/Vedant2330
• Location: Pune, Maharashtra, India

Maintained by Vedant Bodekar.