We are Senthil
& Mukund,
AI engineers
& system
builders.
About Senthil
I build AI-native systems that turn experimental models into production-grade software. From LLM automation pipelines and RAG systems to multi-modal agents—I design the infrastructure where learning, reasoning, and execution operate as one layer.
As the founder of Dappi, I lead end-to-end product execution, translating complex AI capabilities into scalable applications used by businesses.
Visit Dappi.in
About Mukund
I design intelligent control systems that connect decision-making algorithms to real-world execution—from training RL agents for combat strategies, to proximity-based authentication, to translating software commands into deterministic hardware behavior.
I'm interested in scalable architectures, adaptive autonomy, and turning experimental AI into deployable infrastructure.
What We Cover
Together, we bridge the gap between intelligent software and real-world systems.
Artificial Intelligence
- Large Language Models & RAG
- Multi-Modal AI Agents
- Reinforcement Learning
- NLP & Deep Learning
- Computer Vision
Systems & Infrastructure
- Scalable Backend Architecture
- AI Deployment & MLOps
- Automation Pipelines
- IoT & Embedded Systems
- Hardware-Software Integration
Product & Design
- End-to-End Product Execution
- Full-Stack Development
- 3D Design & Spatial Computing
- Mobile & Web Applications
- Human-Computer Interaction
Our Projects
Here are some of the projects we have built.
Senthil's Projects
-
LLM-Based Invoice Automation
Built a production LLM extraction pipeline with validation layers for enterprise invoice processing.
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Production RAG Agents
Developed scalable Retrieval-Augmented Generation systems with deployment guardrails and multilingual fine-tuning.
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Multi-Modal AI Evaluation Agent
Engineered an automated grading system using NLP and deep learning.
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CO₂ Threat Intelligence Platform
Built an AI-driven anomaly detection system for ESG and security monitoring using XGBoost.
-
AI Placement Platform (HGSM)
Designed a graph-based semantic matching algorithm for intelligent job–candidate pairing.
-
Full-Stack Commerce Application
Developed an end-to-end mobile platform with payments, operations, and backend architecture.
Mukund's Projects
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Mortal Kombat AI
Reinforcement-learning agent trained to discover efficient combat strategies through human-like input channels.
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IoT-Based Device Control via Input Emulation
Built a system that translates software commands into deterministic hardware behavior across consumer devices.
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ADB Device Control
Programmatic control of Android devices using APIs and debugger tools for automation and testing.
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Gesture-Based System-Wide Audio Equalizer
Real-time gesture recognition to control audio equalization across the operating system.
-
AI Placement Platform (HGSM)
Designed a graph-based semantic matching algorithm for intelligent job–candidate pairing.
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3D Design
Creative 3D modeling and design projects exploring spatial computing and visual media.