Ajeet K.

I am an AI Engineer specializing in LLM Inference, AI Model Deployment, Model Optimization and Production AI Systems with 2+ years of experience building AI/ML solutions for clients worldwide, including startups and Fortune 500 organizations. I have worked across machine learning, deep learning, NLP and Generative AI since before the LLM era. My experience spans the complete AI lifecycle from model development and experimentation to deployment, API integration and production systems. My focus is helping businesses move AI models from experimentation into reliable, scalable and cost-effective production environments. WHAT I CAN HELP YOU WITH Inference & Deployment - Deploying open-source and commercial LLMs. - Building production-ready inference APIs. - Python and FastAPI-based inference services. - Integrating Hugging Face models into applications. - Containerized AI model deployment using Docker. - Cloud-based AI inference deployments. Model Optimization & Performance - Model performance benchmarking and evaluation. - Inference latency and throughput analysis. - Model quantization and optimization workflows. - Memory and resource utilization analysis. - Evaluating model size, accuracy and performance trade-offs. - Identifying inference bottlenecks. AI Infrastructure & Model Serving - Building scalable AI/ML backend services. - Designing asynchronous inference workflows. - REST APIs and WebSocket-based AI services. - Integrating AI models into existing business applications. - Production deployment and monitoring. - AI pipeline reliability and error handling. Machine Learning & Deep Learning - PyTorch and TensorFlow. - Hugging Face Transformers. - Scikit-learn. - NLP and computer vision. - Classification, regression and predictive modelling. - Fine-tuning and model evaluation. TECHNICAL EXPERTISE Languages & Backend: Python, FastAPI, Django, Node.js, REST APIs, WebSockets. AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face, Pandas, NumPy. LLMs & Generative AI: OpenAI, Anthropic Claude, Gemini, Llama, RAG, LangChain, LangGraph. AI Infrastructure: Docker, MLflow, CI/CD, cloud deployment, model evaluation and monitoring. Cloud:AWS, GCP, Azure and other cloud environments. SELECTED PROJECT EXPERIENCE Some of the production AI systems I have delivered: Designed and deployed a custom AI solution that saved a client $500K+ in potential expenses. ✅ Helped unblock a Fortune 50 team working on a HIPAA-compliant AI project that had been stalled for more than six months. ✅ Developed Explainable AI (XAI) models to improve transparency and decision-making. ✅ Built RAG-based AI applications and multi-agent orchestration systems. ✅ Developed and productionized full-stack AI systems for an EU Commission Consortium project. ✅ Delivered AI solutions involving HIPAA and GDPR compliance requirements. WHY WORK WITH ME? ✅ 2+ years of practical AI/ML engineering experience. ✅ Experience working with international clients and complex business requirements. ✅ Strong Python and backend engineering foundation. ✅ Understanding of the complete AI development and deployment lifecycle. ✅ Focus on maintainability, performance and production reliability. ✅ Clear communication, ownership and dependable delivery. Whether you need help deploying an LLM, building an inference API, benchmarking model performance, optimizing an existing AI pipeline or integrating models into your production infrastructure, I can help you move forward. Let's discuss your technical requirements. #AIInference #LLMInference #InferenceOptimization #LLMDeployment #ModelServing #AIInfrastructure #LLMOps #MLOps #ModelOptimization #ModelQuantization #ModelBenchmarking #HuggingFace #Transformers #PyTorch #TensorFlow #vLLM #Ollama #TGI #ONNX #FastAPI #Python #Docker #Kubernetes #CI/CD #AWS #GCP #Azure #GPUComputing #NLP #MachineLearning #DeepLearning #GenerativeAI #LLMs #OpenAI #Claude #Gemini #Llama #DeepSeek #RAG #LangChain #LangGraph #MLflow #VectorDatabase #Pinecone #Qdrant #Milvus #ChromaDB #Redis #RESTAPI #WebSockets #AIModelDeployment #AIModelEvaluation #InferenceAPI #PerformanceOptimization #LatencyOptimization