I am an AI Engineer with over 4 years of experience spanning software engineering, applied AI/ML, and cloud-based production deployments. I specialize in designing and deploying large language model-powered solutions, building scalable data pipelines, and fine-tuning models to optimize inference performance. I’m passionate about integrating reasoning, memory, and tools into AI systems and delivering reliable, enterprise-grade AI architectures. My expertise includes working with Python, Java, PyTorch, TensorFlow, and cloud platforms like AWS and Azure. I’ve led software projects in e-commerce and payments, built microservices, and implemented cutting-edge AI workflows such as retrieval-augmented generation and agentic architectures. I strive to drive measurable business impact by combining innovation with production-grade reliability.

Aneesh Vinod

I am an AI Engineer with over 4 years of experience spanning software engineering, applied AI/ML, and cloud-based production deployments. I specialize in designing and deploying large language model-powered solutions, building scalable data pipelines, and fine-tuning models to optimize inference performance. I’m passionate about integrating reasoning, memory, and tools into AI systems and delivering reliable, enterprise-grade AI architectures. My expertise includes working with Python, Java, PyTorch, TensorFlow, and cloud platforms like AWS and Azure. I’ve led software projects in e-commerce and payments, built microservices, and implemented cutting-edge AI workflows such as retrieval-augmented generation and agentic architectures. I strive to drive measurable business impact by combining innovation with production-grade reliability.

Available to hire

I am an AI Engineer with over 4 years of experience spanning software engineering, applied AI/ML, and cloud-based production deployments. I specialize in designing and deploying large language model-powered solutions, building scalable data pipelines, and fine-tuning models to optimize inference performance. I’m passionate about integrating reasoning, memory, and tools into AI systems and delivering reliable, enterprise-grade AI architectures.

My expertise includes working with Python, Java, PyTorch, TensorFlow, and cloud platforms like AWS and Azure. I’ve led software projects in e-commerce and payments, built microservices, and implemented cutting-edge AI workflows such as retrieval-augmented generation and agentic architectures. I strive to drive measurable business impact by combining innovation with production-grade reliability.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Work Experience

AI/ML Intern at Valoriz Digital
May 1, 2024 - August 11, 2025
Built a large language model chatbot using FastAPI, spaCy, and Hugging Face, reducing response times by 30% and enhancing user engagement. Developed POS recommendation systems combining collaborative and content-based filtering to increase customer retention by 15%. Optimized Ambient 360 deep learning models improving accuracy by 20%. Handled multi-format data preprocessing, feature engineering, and created scalable automated data pipelines. Implemented model evaluation processes with precision-recall tracking and automated A/B testing workflows.
Senior Software Engineer at Mozanta Technologies
August 1, 2022 - August 11, 2025
Led full software development lifecycle projects for enterprise clients in e-commerce and payment domains. Developed Java-based microservices integrating payment platforms like CyberSource and Apple Pay for seamless multi-device transactions. Integrated ElasticSearch improving search relevance and reducing response time by 25%. Streamlined batch processing with Spring Batch, significantly lowering processing times for large datasets. Developed secure, high-performance APIs and implemented CI/CD pipelines to accelerate release cycles.
Software Engineer at Mozanta Technologies
November 1, 2020 - August 11, 2025
Developed Node.js microservices focused on payment processing and order management functions. Designed notification systems for email and SMS channels increasing customer engagement by 18%. Optimized database schemas and queries for improved performance under high traffic scenarios. Followed REST API best practices to ensure scalability, security, and maintainability of backend services.

Education

M.Sc. Data Science and Analytics at University of Hertfordshire
September 1, 2022 - October 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Retail