🚀 Full Stack AI/ML Engineer
Transforming Ideas into Intelligent Solutions | Building Scalable AI Systems
AI/ML Engineer & Full-Stack Developer specializing in Deep Learning, Computer Vision, Large Language Models, and Modern Web Development. Expertise spans from research to production deployment, with focus on scalable AI systems and performance optimization.
 Advanced CV & FaceNet |  vLLM & RAG Systems |  CUDA & Cloud Scale |  React.js & Next.js |
- Computer Vision: FaceNet, YOLO, Vision-Language Models, GIS, Multi-modal learning
- Large Language Models: vLLM optimization, RAG applications, fine-tuning, custom LLM development
- AI Infrastructure: CUDA optimization, distributed training, model deployment, performance tuning
- Full-Stack Development: React.js/Next.js AI applications, CMS, admin panels, real-time systems
- Cloud & DevOps: AWS, Docker, Kubernetes, MLOps, scalable system architecture
- Database Management: MySQL, PostgreSQL, MongoDB, Milvus vector database optimization
| Object Detection: | YOLO, SSD, Faster R-CNN, EfficientDet |
| Facial Recognition: | FaceNet, MTCNN, Dlib, OpenFace |
| Image Processing: | OpenCV, PIL, scikit-image, Albumentations |
| Vision-Language Models: | CLIP, BLIP, LLaVA, GPT-4V integration |
| Video Analysis: | Action recognition, tracking, temporal models |
| GIS & Spatial Analysis: | Geospatial data processing, mapping, spatial ML |
| LLM Development: | vLLM, Hugging Face Transformers, LangChain |
| Fine-tuning: | LoRA, QLoRA, full fine-tuning, PEFT methods |
| RAG Systems: | Vector databases, semantic search, retrieval systems |
| Prompt Engineering: | Advanced prompting, chain-of-thought, few-shot learning |
| NLP Libraries: | spaCy, NLTK, Stanford NLP, Gensim |
| Multi-modal LLMs: | Vision-language integration, audio-text models |
| Frontend: | React.js, Next.js, TypeScript, Tailwind CSS |
| Backend: | Node.js, Python FastAPI, Django, Express.js |
| Databases: | MySQL, PostgreSQL, MongoDB, Redis |
| Vector Databases: | Milvus, Pinecone, Weaviate, Qdrant |
| CMS Development: | Strapi, Sanity, Contentful, custom CMS |
| Admin Panels: | React Admin, Material-UI, custom dashboards |
| Deep Learning: | PyTorch, TensorFlow, JAX, neural architecture design |
| GPU Computing: | CUDA, cuDNN, GPU memory optimization |
| Distributed Training: | Horovod, DeepSpeed, FairScale, model parallelism |
| Model Optimization: | Quantization, pruning, distillation, ONNX |
| MLOps: | MLflow, Kubeflow, Weights & Biases, monitoring |
| AI Deployment: | Docker, Kubernetes, AWS SageMaker, model serving |
| Cloud Platforms: | AWS (EC2, S3, Lambda, SageMaker), Azure, GCP |
| Containerization: | Docker, Docker Compose, Kubernetes, Helm |
| Server Management: | Linux administration, Nginx, Apache, load balancing |
| Storage Management: | S3, EBS, EFS, distributed file systems |
| CI/CD: | GitHub Actions, Jenkins, GitLab CI, automated deployment |
| Monitoring: | Prometheus, Grafana, ELK stack, custom metrics |
🤖 Computer Vision Pipeline | Face Recognition & Object Detection
- FaceNet Integration: Built facial recognition system with 99.2% accuracy
- YOLOv8 Deployment: Real-time object detection for video streams
- GIS Mapping: Spatial analysis integration for location-based AI
- Stack: Python, OpenCV, FaceNet, YOLO, PostgreSQL, React.js
⚡ LLM Infrastructure | High-Performance AI Systems
- vLLM Optimization: Reduced inference latency by 60% for production LLMs
- RAG Systems: Implemented advanced retrieval-augmented generation
- Vector Search: Milvus integration for semantic similarity matching
- Stack: vLLM, LangChain, Milvus, FastAPI, Next.js
🌐 Full-Stack AI Platforms | End-to-End Applications
- React.js AI Apps: Real-time AI-powered web applications
- CMS Solutions: Custom content management and admin dashboards
- Cloud Scale: AWS infrastructure serving 100K+ requests/day
- Stack: React.js, Next.js, Node.js, MySQL, AWS, Docker
- Performance: 40% faster model inference with CUDA optimization
- Scalability: Deployed systems handling 100K+ daily requests
- Efficiency: 35% cost reduction through cloud optimization
- Leadership: Mentored 5+ developers in AI/ML best practices
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- AI/ML Innovation: Computer Vision, LLMs, Deep Learning projects
- Full-Stack AI: React.js/Next.js AI applications, CMS solutions
- Research & Development: Academic partnerships, joint publications
- Technical Leadership: AI strategy, architecture design, team mentorship
Email: rajgadhwal99@gmail.com
LinkedIn: Rajesh Choudhary
Location: India 🇮🇳 | Remote Collaboration 🌍