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Hi, I'm Ajay Rajaram, a passionate AI and Machine Learning engineer with a strong background in data science and software development. I specialize in building scalable AI-powered solutions, from end-to-end document processing systems to innovative recommendation engines. With experience working in both the public sector and private consultancies, I enjoy turning complex data problems into actionable business insights. I love working with the latest AI technologies and cloud infrastructure to deliver reliable, production-ready applications. As a collaborative and adaptable professional, I'm always eager to learn new tools and contribute to impactful projects that drive real-time decision-making and operational efficiency.…Hi, I'm Ajay Rajaram, a passionate AI and Machine Learning engineer with a strong background in data science and software development. I specialize in building scalable AI-powered solutions, from end-to-end document processing systems to innovative recommendation engines. With experience working in both the public sector and private consultancies, I enjoy turning complex data problems into actionable business insights. I love working with the latest AI technologies and cloud infrastructure to deliver reliable, production-ready applications. As a collaborative and adaptable professional, I'm always eager to learn new tools and contribute to impactful projects that drive real-time decision-making and operational efficiency.

Ajay Rajaram

AI Engineer, Data Scientist, Full Stack Developer, +1

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Hi, I'm Ajay Rajaram, a passionate AI and Machine Learning engineer with a strong background in data science and software development. I specialize in building scalable AI-powered solutions, from end-to-end document processing systems to innovative recommendation engines. With experience working in both the public sector and private consultancies, I enjoy turning complex data problems into actionable business insights. I love working with the latest AI technologies and cloud infrastructure to deliver reliable, production-ready applications. As a collaborative and adaptable professional, I'm always eager to learn new tools and contribute to impactful projects that drive real-time decision-making and operational efficiency.…Hi, I'm Ajay Rajaram, a passionate AI and Machine Learning engineer with a strong background in data science and software development. I specialize in building scalable AI-powered solutions, from end-to-end document processing systems to innovative recommendation engines. With experience working in both the public sector and private consultancies, I enjoy turning complex data problems into actionable business insights. I love working with the latest AI technologies and cloud infrastructure to deliver reliable, production-ready applications. As a collaborative and adaptable professional, I'm always eager to learn new tools and contribute to impactful projects that drive real-time decision-making and operational efficiency.

Available to hire

Hi, I’m Ajay Rajaram, a passionate AI and Machine Learning engineer with a strong background in data science and software development. I specialize in building scalable AI-powered solutions, from end-to-end document processing systems to innovative recommendation engines. With experience working in both the public sector and private consultancies, I enjoy turning complex data problems into actionable business insights.

I love working with the latest AI technologies and cloud infrastructure to deliver reliable, production-ready applications. As a collaborative and adaptable professional, I’m always eager to learn new tools and contribute to impactful projects that drive real-time decision-making and operational efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Artificial Intelligence & Machine Learning (AI / ML) Engineer at Maryland Motor Vehicle Administration (MDOT MVA)

July 1, 2024 - Present

Developed full-stack, production-ready LLM-powered Document Q&A systems using RAG architecture, LangChain agents, and local Ollama LLMs for multi-step reasoning and dynamic document querying. Implemented GPU-accelerated ingestion pipelines leveraging LangChain chunking, FAISS indexing, and SHA-256 hashing for scalable and traceable vector storage. Designed hybrid retrieval frameworks combining semantic vector search and keyword-based matching for large unstructured datasets. Deployed and scaled AI pipelines on AWS Cloud with secure, cloud-native orchestration. Integrated OCR and document parsing with LlamaParse, with planned Vision Transformer and Azure AI Vision support. Enhanced LLM response generation via GPU-accelerated tensor retrieval, quantization, and batching to reduce latency and improve throughput. Managed CI/CD lifecycle with Azure DevOps using Agile practices and version control. Authored detailed system documentation and communicated AI architecture across stakeholders. A

AI & Data Analytics Engineer at PricewaterhouseCoopers (PwC) – Delivery Center

August 31, 2023 - July 18, 2025

Built and optimized automated ETL pipelines using Python and SQL, managing the ML data lifecycle for analytical and AI models. Developed RPA solutions with UiPath and Python to extract high-volume business data from SAP systems, driving technical excellence for ML consumption. Performed statistical modeling and exploratory data analysis with PyTorch and TensorFlow to identify business trends and drivers. Designed and deployed Power BI dashboards for real-time and batch analytics to enable data-driven decision-making. Collaborated cross-functionally to advise on AI integration, particularly NLP models for intent classification and keyword extraction. Owned end-to-end MLOps lifecycle by versioning models, automating retraining pipelines, and ensuring readiness for scalable AI deployments. Implemented Git-based version control, CI/CD, and Agile development including peer reviews and documentation.

AI / ML Python Developer at Accenture Solutions Pvt. Ltd

September 30, 2021 - July 18, 2025

Developed and deployed AI/ML models using Scikit-learn and TensorFlow with Flask REST APIs and AWS endpoints for real-time inference and backend automation. Researched and integrated ML algorithms using core Python libraries for preprocessing and analysis of large unstructured datasets. Built scalable serverless AWS solutions and SOLID-compliant microservices with Flask and RESTful APIs for fault-tolerant AI pipelines. Collaborated on model lifecycle management including experimentation, validation, and performance optimization. Participated actively in code reviews, architecture discussions, and maintained enterprise-grade AI/ML applications following best practices including version control and CI/CD.