Aditi Vyas

• Worked with customers or prospective customers to develop integrated solutions and lead detailed architectural dialogues to facilitate delivery of comprehensive solution.
• Guided and influenced existing partners on recommended upgrades and enhancements to integrated solutions.
• Provided support during customer implementations and applied industry best practices.
• Conducted research to evaluate systems design and process efficiency.
• Managed project scope, schedule, status and documentation.
• Presented roadmap and technology infrastructure to customers, demonstrating deep familiarity with APIs, platform infrastructure, security and integration capabilities.
• Conducted post-sale requirements gathering, analysis and documentation.
• Created and implemented innovative business solutions to support corporate
• Conversational AI , Data Integration and Watson Analytics , Generative AI , Banking and Financial services , Redhat open shift deployments, Authentication patterns OAuth2.0, OAuth2.1, PWAs, Mobile app Architecture (iOS/Android). Multi and Hybrid cloud deployments.
• Mobile Apps Secure Design - Threat modelling and risk assessment tools / services (Code Hardening, App Hardening, Runtime Application Security Protection (RASP)), Security requirements engineering, Security architecture patterns (e.g. OAuth 2.0 / OIDC security standards), Security and Privacy by Design Principles
  * Security Verification - Architecture reviews, Requirements-driven testing, automation and embedding of security testing tools and frameworks into CI/CD tool chains
  * Strong understanding of mobile application attack methods, kill chain disruption techniques (MITRE Framework. - Mobile)
  * Security defect and vulnerability management (application and Mobile/ API pen testing exposure) - OWASP Top10/ SANS Top 25 Software Errors - Mobile security (Android & iOS)
  * Familiarity with DevSecOps frameworks - OpenSAMM v2 / DSOMM, NIST Cyber Security Framework (CSF), NIST 800-53, OWASP MASVS /MASTG (Webapps/Mobile Apps)
  * Expertise in architecting secure cloud services using AWS Well-architected framework, Azure Well-architected framework
  * Solid understanding of the major global regulations, legislative and legal requirements (FCA, EU-GDPR)
  * Creating ( Generative AI ) use cases solutions for Fintech clients
  * Leveraging scale AI across enterprises including Generative AI capabilities
  * Tech Solution lead for AI and Mobile based solutions
  * Cloud Delivery Manager
  * Designing novel and agile IT & Architecture within the Industry Solution Center .
  * Working in IT architecture, accelerators and assets for UK banks looking for digital transformations

• Delivered training sessions for newly hired team leaders and management staff.
• Worked closely with other departments to better understand product features and develop appropriate training materials.
• Wrote and updated numerous online and hard copy training manuals used within company and at remote offices.
• Performed risk management assessments on projects.
• Developed and implemented curriculum and training materials appropriate for use at all skill levels.
• Created training program that enabled employees to maintain and improve skills in various types of software packages.
• Designed effective and easy to understand courses to hold students' interest while learning complex subject matter.
• Collaborated with development teams, internal customers, and product line management to verify delivery of desired quality requirements to distributors.
• Tracked and reported program results to customers and stakeholders to facilitate change management activities.
• Mentored and supported 5 junior data science department employees to create strong workplace culture.

• Worked with developers and engineers to realize technological solutions.
• Maintained current and in-depth understanding of business processes, needs and objectives.
• Contributed heavily to product development lifecycle of both back-end and customer-facing solutions.
• Guided and influenced existing partners on recommended upgrades and enhancements to Multi cloud (GCP,AWS, Azure )integrated solutions.
• Delivered a1Bn dollar project with NPS of 10/10 for large bank.
• Led team of 5 developers , 2 designers, 1 tester and one data science consultant.
• Broke down technical ideas and issues into non-technical terms for business executives
• Led and coordinated steering committee meetings with Project Sponsor.
• Authored development guidelines to expedite application design efforts through ready-made frameworks
• Created migration strategies to bridge development gaps between existing software architecture and future updates
• Drafted visual representations of software architecture design for presentation to stakeholders
• Participated in weekly meetings with client to discuss project direction and milestone achievement
• Reviewed business success drivers, applying strategic prioritization to future architectural updates
• Mentored team, sharing skills and expertise and encouraged each member to bring forward ideas and suggestions for improvement

• Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations.
• Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
• Discovered stories told by data to present information to scientists and business managers.
• Set up SQL database on cloud servers to store client data for query analysis.
• Built company A/B testing frameworks to test model quality.
• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling.
• Extracted and assessed data from databases to drive improvement of product development and business strategies and processes.
• Worked as Scrum Master and lead Data Scientist leading team of 4 data scientist and 2 python developers. Drove complete roadmap and built efficient food hygiene rating prediction product to be used by public sector client utilizing Data science and Azure Architecture skills.
• As result of this won many accolades from my seniors and was highly regarded as great team leader and Scrum Master by my team.
• Received three Cheers Awards and two people's award for coaching and mentoring junior team members and led migration strategy for customer from on -premise to Azure satisfying highly availability in given budgetary constraints.
• Used multi cloud strategy to reduce overall cost for customer.
• Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations
• Set up SQL database on cloud servers to store client data for query analysis
• Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling
• Built company A/B testing frameworks to test model quality
• Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques
• Created and implemented new forecasting models to increase productivity
• Applied loss functions and variance explanation techniques to compare performance metrics
• Analyzed large datasets to identify trends and patterns in customer behaviors
• Developed polished visualizations to share results of data analyses
• Improved data collection methods by designing surveys, polls and other instruments
• Ran statistical analyses within software to process large datasets
• Implemented randomized sampling techniques for optimized surveys
• Discovered stories told by data to present information to scientists and business managers

• Customized in-development software to clients' current hardware environments, designing applications to span multiple systems.
• Designed architecture strategies for large-scale system-wide application deployments.
• Created migration strategies to bridge development gaps between existing software architecture and future updates.
• Mentored team, sharing skills and expertise and encouraged each member to bring forward ideas and suggestions for improvement.
• Reviewed business success drivers, applying strategic prioritization to future architectural updates.
• Developed next generation integration platform for internal applications.
• Translated technical concepts and information into terms parties could easily comprehend.
• Tested troubleshooting methods and documented resolutions for inclusion in knowledge base for support team use.

Customized in-development software to clients' current hardware environments, designing applications to span multiple systems. Authored development guidelines to expedite application design efforts through ready-made frameworks.

• Analyzed software architecture for weaknesses, recommending and designing software patches. Mentored team, sharing skills and expertise and encouraged each member to bring forward ideas and suggestions for improvement.
• Designed architecture strategies for large-scale system-wide application deployments.
  Participated in weekly meetings with client to discuss project direction and milestone achievement.
• Wrote Java and python based scripts for daily maintenance, indexes and tables analyses. Strengthened developmental methodologies by introducing review of code quality document. Worked closely with product and design teams to build new and innovative application experiences for iOS/Android ·
• Analyzed and optimized UI and infrastructure application code for quality, efficiency, and performance · Architect, design, and lead scalable, adaptable, and high efficient mobile application development · Enterprise implementations based on Mobile Applications, Device Management, and Services · Build mobile frameworks and playbook for unit, end-end testing, and overall code quality · Designed and implemented Enterprise Mobile solution across platforms that improve business functionality, Possess diversified technical background with Enterprise System Solutions.
• Day to Day Responsibilities: · To review code, project output and ensure compliance to industry best practices · Architect efficient and reusable front-end systems that drive complex web applications · Collaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing products ·
  Working knowledge in implementing mobile backend platforms (BaaS, GraphQL), exposure to Web services, RESTful services, microservices architecture
  Experience in Web and hybrid enterprise mobile applications for several mobile platforms (iOS/Android/ React Native/MXDP) · Working knowledge on iOS (UIKit, Cocoa Touch, Core Data, cordova), Android (SDK, Gradle), and mobile web apps (HTML/CSS/JS, PWA) ·
  Provide vision and technology roadmap for enterprise mobile solutions · Develop technology standards for mobile engineering and provide industry best practices.
  Well Versed in load balancer configuration and PaaS fundamentals for IBM / AWS and Azure. Worked for large FMCG and Energy and utilities giant in UK and US - was responsible for deployment and monitoring for mobile application to SAP and IBM cloud. Good knowledge of mobile device management tools like Maas 360, Airwatch,Afaria for multiple mobile platforms like ios, Android, windows mobile.
  Day to Day Responsibilities: · To review code, project output and ensure compliance to industry best practices · Architect efficient and reusable front-end systems that drive complex web applications · Collaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing products ·
  Working knowledge in implementing mobile backend platforms (BaaS, GraphQL), exposure to Web services, RESTful services, microservices architecture
  Experience in Web and hybrid enterprise mobile applications for several mobile platforms (iOS/Android/ React Native/MXDP) · Working knowledge on iOS (UIKit, Cocoa Touch, Core Data, cordova), Android (SDK, Gradle), and mobile web apps (HTML/CSS/JS, PWA) ·
  Provide vision and technology roadmap for enterprise mobile solutions · Develop technology standards for mobile engineering and provide industry best practices.
  Well Versed in load balancer configuration and PaaS fundamentals for IBM / AWS and Azure. Worked for large FMCG and Energy and utilities giant in UK and US - was responsible for deployment and monitoring for mobile application to SAP and IBM cloud. Good knowledge of mobile device management tools like Maas 360, Airwatch,Afaria for multiple mobile platforms like ios, Android, windows mobile.
• Customized in-development software to clients' current hardware environments, designing applications to span multiple systems

• Partnered with business teams and IT personnel to align project goals with business strategy and define project milestones.
• Defined and integrated roles, responsibilities, and processes for business team and data management organization.
• Directed product development efforts using industry-specific tools to increase sales and overall company productivity.
• Led team of 4 developers in analysis and rebuild of software from conception through implementation.
• Worked on Mobile application development in ios and Android and configuration and functional lead for SAP Mobile Module. Worked on Big Data Hive and Impala, SQL and large data pipelines as well as Mobile Business Objects and ABAP.
  Supported multiple clients in FMCG industry. Worked with internal and external businesses and led cross-functional teams to develop intricate business plans.
• Defined and integrated roles, responsibilities, and processes for business team and data management organisation
• Generated accounting and financial reports, charts and forecasts

• Supported clients with business analysis, documentation, and data modeling.
• Delivered outstanding service to clients to maintain and extend relationship for future business opportunities.
• Created and developed detailed work plans to meet business priorities and deadlines.
• Developed strategic component development plans to support future projects.
• Delivered outstanding service to clients to maintain and extend relationship for future business opportunities.
• Developed comprehensive business cases to analyze costs, benefits, ROI and TCO of proposed solutions. Updated stakeholders on key milestones for projects. Provided reporting for forecast analysis and ad-hoc reporting in support of decision-making.
• Worked for clients in Travel and Transport and Railways for mobile asset management application and SAP Biller Direct and Java-based UI application support and development.
• Worked on supporting application for 1000 maintenance engineers.
  

• Architected SAP solutions by prioritizing simplicity, appropriate scale, resiliency and maintainability.
• Traveled to client locations to implement SAP solutions and offered post-installation support services.
• Supported 5 applications for Philips Medical systems.
• Applied widely accepted SAP best practices to SAP Mobile Infrastructure implementation, providing rapid onboarding.
• Solved functional and technical obstacles and worked closely with project team from different streams.
• Translated design personnel's ideation into concrete development frameworks for use utilizing Java. Pioneered new methods of code review to incorporate wider range of voices, enhancing final products with ideas otherwise overlooked.
• Worked for support, application development in Java and SAP MAM, webdynpro.

Dissertation: Analysing Societal attitudes towards AI through Chatbots: (A+): This project aims to investigate and study the current societal attitudes towards AI and its applications through AI-enabled Chabot. The surveys were conducted through this Chabot (call it Gini -a survey bot) which administers survey questionnaires with members of the public to understand their concerns about recent trends towards wider deployment of AI. The Gini bot can support a large number of users concurrently. Gini is integrated with Google Assistant for the speech variant of the bot and also with Virtual Furhat Social Robot simulator to understand the effect of embodiment in such conversational agents as well as give ease of use for

the elderly and disabled. The Gini chatbot is deployed as a Continuous Integration and Continuous Deployment docker control agile methodology deployment with auto synchronization to GitHub. To investigate the effectiveness and limitations of such a chatbots, we conducted a study with the public, where participants answered the survey through Gini. The detailed analysis disclosed that the chatbot drove a substantially greater participant engagement and elicited significantly improved responses. Driven from the results we list the best design considerations while building AI-powered survey chatbots as efficient survey agents and beyond. The results of the people's attitudes show that the public generally embraces AI.

Key Coursework /Projects

• Coursework in Data Mining , Machine Learning and Weka and Data cleaning and processing in python and java.
• Implemented the Naïve Bayes means , random forest and nearest neighbor and clustering, Decision tree in python and Data Visualization in Java and python for large German traffic signalling datasets.

• Hands-on educational experience in machine learning algorithms, databases(neo4J, MongoDB, computer vision & robotics. Worked on Pepper robot, icub, and Virtual Furhat simulator gesturing )Implementation of facial recognition and object recognition in python and c++.

• Implemented a swarm intelligence algorithm PSO to optimize the neural network for function approximation in Java. Conversational agents, using python rule-based and RASA. Integration with real-time APIs, real-time streaming.

• Skilled in training deep learning models for classification, regression, or functional approximation and KNNs and CNN's TensorFlow and Keras using the latest tools and methods.
Worked on AI based Tick tack toe games for reinforcement learning implemented in Java secured full marks in the coursework assignment
• Good Knowledge and understanding of PDDL.

• Created a natural language generation model for chatbot as a part of the natural language processing project.
• Worked on data visualization, analysis in R and python for large datasets, Worked on Forecasting and predictions in various projects .

Created a CI/CD deployment using Dockers, Google Cloud platform .for concurrent user handling.
• Worked on IOT device simulation and home automation system through Chabot by enhancing Alana( existing Alexa prized Chatbots ) for the Smart ECO home and Elderly care Implemented Automated Speech Recolonization and Customized NLG scripts in python.

Award Honors degree with A+ grade.
Relevant Coursework Completed: Network and Networking protocols.
Speech to Text model for developed utilizing Java and ML.