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Satish - AI/ML

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Location: Alpharetta, Georgia, USA

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Accomplished software architect with over 20 years of experience in designing, constructing, and modernizing enterprise applications and frameworks. Pioneering Applied AI for transforming Telecom, Manufacturing and Aerospace quality processes. Engineered frameworks to streamline deep learning-based model training & deployment to facilitate AI adoption across diverse industry sectors. Demonstrated expertise in adopting Open Source Large Language Models (LLMs) through Fine-Tuning, tailoring solutions for specific domain tasks across various use cases. Proficient in GPU hardware setup for training and fine-tuning and adept at applying state-of-the-art techniques for successful AI adoption. Designed an adaptable inference engine, capable of executing on a wide range of edge devices, enabling the composition and customization of pipelines to suit diverse industry-specific use cases. Early adopter of technologies to enable business agility; adopted NoSQL databases, code generation, and custom parser generation for flexible, low-code applications that rapidly adapt to changing business needs. Proficient in developing and leveraging low-code frameworks to enable rapid development of enterprise applications to expedite digital transformation. Expertise encompasses cloud-native architectures, crafting conversational experiences, successful migration of legacy systems to the cloud, and the establishment of efficient CI/CD and DevSecOps automation processes using IaC technologies. Core Competencies Generative AI, AI at the Edge. Deep Learning frameworks & Neural Net Architectures Computer Vision - Anomaly Detection, Object Detection, Object Classification, Object Segmentation, Change Detection, Face Recognition, OCR Gen AI - Conversational experiences, Semantic search, Summarization, LLM Fine tuning, PEFT, LORA, RAG, Prompt Engineering & Multi Modal AI Metadata driven low code enterprise frameworks Cloud native and Serverless architectures, IaC and Legacy Cloud migration Pattern oriented UI/UX, Conversational experience, Usability NoSQL, OpenSearch & Polyglot persistence Industries: Insurance, PharmacoVigilance, Aerospace & Manufacturing Skills AI: PyTorch, OpenCV, PaddleOCR, LlamaIndex, Langchain, Nvidia Jetson, Langchain, LlamaIndex, Vision & Thermal Cameras, Raspberry Pi, Arduino, IBM Watson, FAISS Languages: Java, C, C++, Python, Kotlin, Typescript Frameworks: Spring, Quarkus, Angular, Node.JS, Express.JS, Underscore.JS, React.JS Cloud Technologies: AWS, Azure,Terraform, Serverless Web Technologies: HTML5, CSS3, JavaScript, jQuery, AJAX, XML, JSON, MVC Design, MQTT Publications Modeling and Simulation of Fluidized Bed Dryer Using Artificial Neural Networks This model attempted to improve energy consumption in a fertiliser industry. Implemented the back propagation training on a matrix library written ground up using C to support necessary matrix operations. Professional Experience Leading Telecom Client Sr Architect AI/ML Dec 2023 Till Date # Fallout Management Gen-AI based solution for fallout management. Arrive at a self-healing system for addressing fallouts in service activation and provisioning. Role & Responsibilities Architecture and Development of solution. LLM powered assistant integrated with telecom provisioning systems and analysing their workflow configuration, system interactions and logs to present a business user friendly conversational experience in managing fallouts. LLM based application architecture including orchestration between various telecom systems, knowledge base built around the RAG, Intent classification and LLM routing for specific model tasks. Open Source model evaluation, task specific model fine-tuning with PEFT-LORA, inference performance improvement and model hosting performance benchmarkin Keywords: cprogramm cplusplus continuous integration continuous deployment artificial intelligence machine learning user interface user experience javascript