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@johnmoses
Senior AI Inference Engineer with expertise in financial technologies.
I am a Senior AI Inference Engineer with over 10 years of software engineering experience, including more than 5 years specializing in AI and machine learning. My focus is on developing scalable AI inference solutions optimized for GPU architectures, particularly within the financial technology sector. I have a proven track record of integrating AI agents and Model Context Protocol (MCP) to enhance inferencing accuracy and scalability in financial applications.
Throughout my career, I have successfully architected and optimized AI inference pipelines, significantly reducing latency and improving predictive accuracy. My work has led to innovative AI-driven solutions that optimize trading algorithms and risk assessment, ultimately enhancing asset management strategies. I am passionate about mentoring junior engineers and promoting the adoption of agentic AI frameworks, contributing to open-source projects, and enhancing productivity across teams.
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Work history, roles, and key accomplishments
AXIIS Microsystems
Jul 2024 - Jun 2025 (11 months)
Architected and optimized AI inference pipelines for financial applications, integrating AI agents and MCP to enable continuous, context-aware inferencing for trading and portfolio management systems, reducing latency by 30% and improving predictive accuracy. Integrated quantitative models for stock market prediction, risk assessment, and portfolio optimization using advanced machine learning tech
AXIIS Microsystems
Jul 2023 - Dec 2023 (5 months)
Engineered a high-performance healthcare assistant and chatbot with retrieval augmented generation (RAG) for documents and enterprise databases, and integrated AI agents. Empowered users to set reminders, get live data from their medical records at real-time, connect with experts at higher speed and convenience and enjoy seamless and impressive healthcare delivery without papers and queues.
AXIIS Microsystems
Jan 2023 - Jun 2023 (5 months)
Developed a scalable context-aware Chatbot with memory and contextual understanding using Large Language Model (LLM), synthetic datasets and attention mechanisms and achieved a 98.8% ROUGE accuracy score and overall performance. Utilized Next.js for frontend and React Native for mobile endpoints and Flask API for remote access, enhancing user experience and productivity by 50%.
Degrees, certifications, and relevant coursework
Postgraduate Diploma, Computer Engineering
Completed a Postgraduate Diploma in Computer Engineering. Focused on advanced topics in computer systems and software development.
Certificate, Programming Best Practices
Completed a course on programming best practices, enhancing skills in writing efficient and maintainable code.
Certificate, Learning Engineering for Production (MLOps)
Completed the Learning Engineering for Production (MLOps) course, focusing on deploying and managing machine learning models in production environments.
Certificate, Natural Language Processing (NLP)
Completed the Natural Language Processing (NLP) Specialization, gaining expertise in processing and understanding human language.
Specialization, Investment Management with Python and Machine Learning
Completed the Investment Management with Python and Machine Learning Specialization, focusing on quantitative finance and investment strategies.
Certificate, Deep Learning
Completed the Deep Learning Specialization, covering neural networks, CNNs, RNNs, and Transformers.
Certificate, Generative AI with Large Language Models
Completed the Generative AI with Large Language Models course, focusing on advanced generative AI techniques.
Software and tools used professionally
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