Asad Ali

AI Engineer (AI Automation & Agentic Systems)

Global software Consulting • Tiempo completo

Dec 2023 - Sep 2025 • 1 yr 9 mos

As an AI Engineer, I have designed and deployed end-to-end AI solutions that combine Machine Learning, Deep Learning, and Generative AI to solve real-world business problems. My role involves developing and fine-tuning custom ML/DL models, building LLM-powered chatbots, and implementing RAG systems for knowledge-intensive workflows. Key Contributions & Responsibilities: 1. Designed, trained, and deployed custom ML/DL models for classification, prediction, and decision-making tasks. 2. Specialized in LLMs & Generative AI, including fine-tuning large language models for domain-specific use cases. 3. Built RAG (Retrieval-Augmented Generation) pipelines to integrate LLMs with enterprise knowledge bases for accurate, context-aware responses. 4. Developed and deployed chatbots and AI agents for customer support, business automation, and internal operations. 5. Implemented voice call AI agents using Twilio and other telephony integrations, enabling seamless real-time customer interactions. 6. Automated business workflows and processes by integrating AI with APIs, CRMs, and workflow automation platforms. 7. Hands-on experience with vector databases, embeddings, and model optimization techniques. 8. Strong expertise in AI product lifecycle: from data preprocessing, model training, fine-tuning, evaluation, to deployment in production environments. Tech Stack & Tools: 1. ML/DL Frameworks: TensorFlow, Keras, PyTorch 2. Generative AI: OpenAI, LangChain, Hugging Face 3. Automation: n8n, Zapier, custom APIs 4. Cloud & Deployment: GCP, AWS, Docker, Kubernetes 5. Databases: PostgreSQL, MongoDB, Pinecone, Weaviate

AI Engineer

Epazz Inc • Tiempo completo

May 2023 - Nov 2024 • 1 yr 6 mos

As an AI Developer, I design, build, and deploy intelligent systems that leverage Machine Learning, Deep Learning, and Generative AI to drive business transformation. My role focuses on creating AI-powered applications, voice call agents, and automation solutions tailored to real-world business needs. Key Contributions & Responsibilities: 1. Developed and deployed custom ML/DL models for predictive analytics, classification, and optimization. 2. Specialized in Generative AI solutions, including AI-powered voice agents, conversational AI, and business automation tools. 3. Designed and implemented LLM-powered chatbots with advanced conversational capabilities for customer engagement and support. 4. Built and deployed Retrieval-Augmented Generation (RAG) pipelines for knowledge-driven workflows and context-aware responses. 5. Integrated AI voice call agents with telephony platforms (e.g., Twilio) to deliver seamless real-time customer interactions. 6. Automated business processes by integrating AI with APIs, CRMs, and workflow automation platforms. 7. Hands-on experience in model fine-tuning, optimization, and deployment across scalable cloud environments. Tech Stack & Tools: 1. ML/DL Frameworks: TensorFlow, PyTorch, Keras 2. Generative AI & LLMs: OpenAI, LangChain, Hugging Face 3. Automation & Integration: n8n, Zapier, Custom APIs 4. Cloud & Deployment: AWS, GCP, Docker, Kubernetes 5. Databases: PostgreSQL, MongoDB, Pinecone, WeaviateAs