Heading a project focused on delivering intelligent autonomous software agents through Reinforcement Learning.

- Team lead cities division at UK Autodrive. (project details: http://www.bbc.co.uk/news/technology-40352887)• UK Autodrive is the largest autonomous car testing in the UK. My work entails:• developing neural networks and simulating end to end purely vision-based driving systems.• Mathematical control logic formulation and simulation of autonomous cars to assess congestion.• Connected car algorithms (GLOSA-Green light optimal speed advisory, Intersection collision warning, Emergency braking & vehicle). • Agent based micro simulation modelling to assess impacts by building city scale models.- Project member coEXist (project details: https://www.h2020-coexist.eu/)• coEXist is a European commission project to assess the impact of autonomous vehicles within different cities. • I represent the UK(MK) for the European project. • My work looks at assessing the impact of autonomous cars on intersections and car parking spaces.• Conceptulising the systems to be developed. Programming the network and system.• Reporting and presenting for consortium meetings.- Smart cities project (MKSmart) (project details: http://www.mksmart.org/transport/)• AI systems to develop a busyness of the city. My work involved:• Validating all the AI(Computer vision) systems developed within the project. The AI systems classified vehicles according to type and pedestrians. The systems also counted the respective objects.• Python coding supporting in the development of Motionmap a smart map for the whole city. - ARUP-Efis wirelessly charging electric buses.(project details: http://www.bbc.co.uk/news/technology-25621426)• Work involves data collection from test site and from big data servers using different methods.• Big data processing and analysis through Python coding. • Generating results, graphs and patterns in Python to Identify and ascertain trends in data.• Developing bi-annual technical reports. Presenting results.

- Clary solar is a startup based in San Diego CA that provides commercial and residential solar installation services.- Work involved improving operational efficiency through data analytics.- Working on existing CRM database and analysing data of existing users to derive insights and segmentation.- Assessing data to develop processes to improve sales leads.- Developing system designs and Project deliverables, time cycle and assigning tasks.- Liaising with existing clients and ensuring client satisfaction.- Researching feasibility, preparing bids and presenting to potential clients.- Monitoring on-site data to identify system faults

- Interned in the BSS and operations department.- Monitoring faults and alerts.- Working onsite on maintenance work of troubleshooting Base Transceiver Station(BTS) problems.