I enjoy building intelligent systems that combine AI, cloud technologies, and automation to solve real business challenges. My experience spans databases, cloud engineering, software development, and AI powered applications, giving me a strong foundation for developing scalable and practical solutions.
I have worked on conversational AI, enterprise copilots, Agentic AI workflows, and Retrieval-Augmented Generation (RAG) systems, leveraging large language models, knowledge retrieval, tool calling, and workflow orchestration to deliver intelligent user experiences. My work has involved integrating AI solutions with enterprise systems, automating operational processes, and enabling users to access information through conversational interfaces and natural language interactions.
What motivates me most is turning complex requirements into solutions that are reliable, scalable, and genuinely useful. I am particularly interested in building AI systems that combine technical excellence with real-world impact, helping organisations work more efficiently and make better decisions.
MSc Advanced Computer Science Northumbria University – Newcastle , UK
Bachelor of Engineering- Computer Science, PEC, IND
LLMs, RAG Pipelines, RAPTOR, Prompt Engineering, Tool Calling, Conversational AI, Agentic AI, MCP, AI Orchestration, Knowledge Retrieval, Autonomous Workflows, Intelligent Automation
LangChain, LangGraph, CrewAI, FastAPI, Azure AI Search, GraphRAG
Python, SQL, Shell Scripting, C# (.NET Core), Git, Linux, REST APIs, API Development, System Integration
Pandas, NumPy, PySpark, Data Analysis, Data Processing, Machine Learning, Model Evaluation, Model Fine-Tuning, MLOps, Model Deployment
Power Platform, Microsoft Copilot Studio, Power Automate, Agent Workflows, Azure Logic Apps, Blob Storage, Azure AI Search, Azure AI Foundry.
Bedrock, SageMaker, Textract, Transcribe, Polly, Rekognition, Lex, Kendra, OpenSearch, Lambda, RDS, EC2, ALS, EBS
Gemini API, Agent Development Kit (ADK), BigQuery, AlloyDB, Antigravity IDE, API Development.
Led a 6-member team as Project Manager, achieving 75% in the module through timely delivery and effective collaboration.
Recognised at Northumbria University 12-day career workshop for excellence in presentation, leadership, and teamwork.
Developed a multi-agent AI platform that automates IT, HR, and Legal service desk operations through agent orchestration, tool calling, and knowledge-driven reasoning. This solution enables contextual decision-making, and workflow automation across multiple business domains.
Key Skills
Agent Orchestration, Tool Calling, RAG, FastAPI, Python, Streamlit UI, Docker, Azure OpenAI, Azure AI Search, Workflow Automation
Developed a multi-agent healthcare assistant to retrieve and analyse information from clinical documents. Orchestrated specialised AI agents to automate document driven workflows, improve information accessibility, and support operational efficiency.
Key Skills
CrewAI, LangChain, LangGraph, AutoGen, PydanticAI, Prompt Engineering, Clinical Document Processing
Built a Conversational AI assistant for store managers to access operational data, inventory information, supplier records, and business insights through natural language interactions. Leveraged enterprise data sources and to improve access to critical store operations information.
Key Skills
AI Agent Development Kit, Gemini, API Integration, BigQuery, AlloyDB, Prompt Engineering, Natural Language Querying, Antigravity IDE, MCP Integration.
Designed and deployed a cloud native environmental monitoring platform. Developed independently deployable services to process simulated IoT sensor data, enabling real time monitoring, environmental analysis, and scalable system integration.
C#, .NET Core, React.js, MongoDB, Microservices Architecture, REST API Development, CRUD Operations, Docker
Built a Oracle data warehouse and ETL framework for credit risk analytics, transforming complex financial datasets into a structured analytical environment. Implemented predictive modelling using Oracle Data Mining to identify default risk patterns and generate actionable business insights for data driven decision making.
SQL, ETL pipeline Development, Predictive Analytics, Machine Learning, Data Modelling, Risk Analysis
Developed a CNN-based deep learning model using TensorFlow to classify ECG heartbeat signals, achieving over 95% accuracy through advanced data preprocessing, class balancing techniques, and GPU accelerated training in Google Colab.
Python, TensorFlow, Deep Learning, CNN, Data Preprocessing, Model Training, Model Evaluation.
Deployed a scalable big data analytics platform using PySpark and Microsoft Azure to process and analyse over 19 million UK crime records. Built data pipelines to clean, transform, and analyse large scale datasets, geographic patterns, and actionable insights.
Python, PySpark, Microsoft Azure, Docker, Data processing Pipeline, Exploratory Data Analysis EDA
Led a team of six members to investigate work-life balance challenges within the IT industry. Managed project planning and task allocation. Developed interactive dashboards and visualisations to identify workforce trends and present data driven findings through collaborative research and analysis.
Agile Project Management, Team Leadership, Python, SQL, Power BI, Data Visualisation, Data Analysis.

Recognised as an Exceptional Performer in Code Vipassana Season 15, building and evaluating agentic AI solutions using Gemini, BigQuery, AlloyDB and modern AI engineering practices through intensive hands-on challenges.

Recognised with the Project Pioneer Award for excellence in project delivery and overall performance.

Participated in a Microsoft Agentic AI Hackathon and achieved project-ready proficient badge by designing and implementing agentic AI workflows using Azure AI Foundry, Azure AI Search and Azure Blob Storage for knowledge retrieval, orchestration. Link
Worked with an international team across multiple countries, including the US and Peru, to develop enterprise AI solution TriNexa during a Microsoft innovation hackathon, earning recognition through an achievement badge. Link
Completed all the industry projects with the grade DISTINCTION

Completed practical lab exercises in AWS cloud services, Linux administration, networking, security, automation and troubleshooting through hands-on lab exercises. Link
Completed hands on training in MongoDB, Express.js, React.js and Node.js, developing full stack web applications and RESTful APIs.


Completed practical training in responsible AI, enterprise design thinking and AI solution development, applying human-centred approaches to real-world AI challenges. Link
Gained foundational knowledge of Generative AI, large language models (LLMs), prompt engineering, aresponsible AI and governance.

📍 Newcastle upon Tyne, UK (Open to Relocate)
📞 (+44) 07554220773
I bring together Cloud Engineering, AI/ML expertise, and user-centred design principles to build scalable AI systems, intelligent automation, and innovative AI solutions that solve real-world problems and deliver measurable impact.
Nithyananthi