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AI & Machine Learning

Advanced AI solutions including LLM development, AI agents, RAG systems, and edge AI for automotive and enterprise applications

12+ AI Projects
40% Efficiency Gain
Edge+Cloud AI Deployment

AI & ML Expertise

Comprehensive AI and machine learning solutions from LLMs to edge AI deployment

With expertise spanning cloud-based LLMs, edge AI deployment, and embedded AI integration, I deliver end-to-end AI solutions for automotive and enterprise applications. From building intelligent chatbots and RAG systems to deploying computer vision models on edge devices, I bridge the gap between cutting-edge AI research and production-ready implementations.

LLMs & AI Agents

Large language models, AI agents, and intelligent automation for enterprise applications.

  • LLM fine-tuning and deployment
  • Multi-agent systems (LangGraph)
  • Prompt engineering & optimization
  • Custom AI chatbots

RAG Systems

Retrieval-Augmented Generation for context-aware AI with enterprise knowledge bases.

  • Vector database integration
  • Semantic search & retrieval
  • Context-aware AI responses
  • Knowledge base curation

Edge AI & Embedded ML

Real-time AI inference on edge devices for automotive and IoT applications.

  • Model optimization & quantization
  • NVIDIA Jetson deployment
  • TensorFlow Lite / ONNX
  • Real-time computer vision

Computer Vision

Advanced computer vision solutions for automotive safety and perception systems.

  • Object detection (YOLO, Transformers)
  • Gesture & speech recognition
  • Image generation (GANs, Diffusion)
  • Multi-modal AI systems

AI Technology Stack

LLMs & Frameworks

OpenAI GPT-3.5/4 LLaMA / LLaMA-2 LangChain LangGraph HuggingFace Transformers Prompt Engineering

ML Frameworks

PyTorch TensorFlow / Keras TensorFlow Lite ONNX Runtime Scikit-learn XGBoost

Computer Vision

OpenCV YOLOv8 Swin Transformer Stable Diffusion GANs Image Segmentation

Data & RAG

Vector Databases (Pinecone, Chroma) Embeddings Semantic Search RAG Pipelines Knowledge Graphs

Deployment & MLOps

Docker & Kubernetes AWS SageMaker Azure ML NVIDIA Jetson CI/CD for ML Model Monitoring

Automotive AI

Edge AI Optimization Automotive Diagnostics AI In-Cabin Monitoring ADAS Integration Real-time Inference

AI Application Areas

Real-world applications across industries

Customer Support Automation

Multi-channel AI chatbots with RAG for context-aware responses, reducing support costs by 40%.

Intelligent Document Search

Semantic search and retrieval systems for enterprise knowledge bases and technical documentation.

Automotive Diagnostics AI

RAG-powered diagnostic assistants integrating repair manuals, sensor data, and expert knowledge.

In-Cabin Safety Monitoring

Real-time threat detection using edge AI for violence, weapon, and abuse detection in vehicles.

Multi-Modal Interaction

Speech and gesture recognition systems for natural vehicle control and personalized experiences.

Generative AI

Image generation services using GANs and diffusion models for design mockups and creative content.

Core AI Specializations

LLM Development

End-to-end large language model solutions from experimentation to production deployment.

  • Fine-tuning: Custom model training on domain-specific datasets
  • Prompt Engineering: Few-shot, chain-of-thought, and reasoning prompts
  • Inference Optimization: Reducing latency and costs for production
  • Model Selection: GPT, LLaMA, or custom models based on needs

AI Agents & Orchestration

Building intelligent agents that autonomously complete complex tasks.

  • Multi-Agent Systems: LangGraph for agent coordination
  • Tool Integration: API calls, web scraping, data retrieval
  • Reasoning Agents: Tree-of-thoughts, self-consistency checks
  • Autonomous Workflows: Research, analysis, and decision support

RAG Systems

Retrieval-Augmented Generation for enterprise knowledge and context-aware AI.

  • Vector Databases: Efficient semantic search and retrieval
  • Embeddings: Document and query vectorization
  • Context Management: Relevant information retrieval
  • Hybrid Search: Combining keyword and semantic search

Edge & Embedded AI

Deploying AI models on resource-constrained devices for real-time inference.

  • Model Optimization: Quantization, pruning, distillation
  • Hardware Acceleration: CUDA, OpenVINO, TensorRT
  • Real-time Inference: Low-latency predictions on edge
  • Edge-Cloud Hybrid: Balancing on-device and cloud AI

Ready to Leverage AI for Your Business?

Whether you need intelligent chatbots, edge AI deployment, or custom LLM solutions, I can help transform your ideas into production-ready AI applications.

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