● Designed and implemented scalable microservices to support GenAI-based healthcare applications, ensuring high performance and modularity. ● Developed secure authentication and authorization mechanisms, integrating with OAuth2 and token-based security protocols. ● Built and optimized FastAPI-based APIs for interaction with LLMs using LangChain, LangGraph, and the OpenAI API. ● Engineered prompt orchestration and memory management flows leveraging Redis and Pinecone for efficient vector storage and retrieval. ● Integrated LLaMA and OpenAI foundation models for real-time clinical intelligence use cases, enabling advanced NLP tasks in healthcare. ● Wrote unit and integration tests to ensure reliability and maintainability of critical services handling patient-related data. ● Collaborated closely with frontend and ML teams to define service interfaces and troubleshoot cross-functional issues efficiently. ● Contributed to architectural decisions and documentation, promoting best practices in GenAI development and secure cloud-native microservices. Tech Stack: Python, FastAPI, PostgreSQL, Redis, Pinnecone, LangChain, LangGraph, LLama, OpenAI API, Docker, Git, GitHub, GCP .

● Backend Development: Designed and implemented scalable APIs and microservices using Django and FastAPI to support core business operations. ● Database Optimization: Engineered efficient data models and optimized PostgreSQL queries, improving application response times and scalability. ● Authentication & Security: Integrated FusionAuth for secure authentication and user management across multiple platforms. ● Optimized API Performance: Reducing response times by 40% through efficient query handling and caching strategies. ● Implemented Secure User Authentication: Reducing unauthorized access risks by 70% with robust JWT and OAuth2 protocols. ● Improved System Scalability: Designing multi-tenant architectures that handle high-traffic environments efficiently. Tech Stack: Python, FastAPI, Django, Django Rest Framework, PostgreSQL, AzureDevops, Docker.

Project: Cross platform App for UK Legal Firm client ● Created a detailed technical roadmap to meet ambitious product development goals. ● Defined a high-level app architecture and implemented mission-critical features. ● Created detailed technical stories for 5+ developers to work on, and helped with delivery across multiple milestones, while liaising with design and product. ● Helped define a suitable data schema for the app backend and frontend. ● Helped to coordinate multiple streams of work across mobile client and web client. Tech Stack: Python, FastAPI, Flutter, Dart, Firebase, AWS, Git, Github.

● Develop cross-platform mobile apps for iOS and Android with Flutter SDK. ● Provided guidance to team members on best practices for developing cross-platform apps. ● Integrated Firebase features Push Notifications, Crashlytics, App Distribution, App Check, Auth with third-party providers, Test Lab. ● Code quality and bug hunting to improve the code base. ● Effective and assertive communication with team members to improve as a team. ● Contributed to the design of RESTful APIs. Tech Stack: Flutter, Dart, Firebase, AWS, Python, FastAPI, flask, JavaScript, Microsoft SQL Server, Git, Bitbucket, Codemagic.

Project: Crypto Mining & Wallet app for Private Fund ● Design and develop a cross-platform mobile app for iOS and Android with Flutter SDK. ● Provided guidance to team members and stakeholders on best practices for development. ● Integrated Firebase features Push Notifications, Crashlytics, App Distribution, App Check, Auth with third-party providers, Test Lab. ● Consumption of third-party APIs such as NiceHash Rest API and its Exchange WSS API (Web Socket Streams), Cryptocompare API. ● Design and development of RESTFul APIs and SQL Databases. Tech Stack: Python, FastAPI, Flutter, Dart, JavaScript, Firebase, Microsoft SQL Server, Git, Github, Jira, Codemagic.

Project: Data pipelines and Data Dashboards for internal usage. ● Identify valuable data sources and automate collection processes. ● Undertake preprocessing of structured and unstructured data. ● Analyze large amounts of information to discover trends and patterns. ● Build predictive models and machine-learning algorithms. ● Combine models through ensemble modeling. ● Present information using data visualization techniques. ● Propose solutions and strategies to business challenges. ● Collaborate with engineering and product development teams. Tech Stack: Python, Pandas, Tensorflow, SQL, Power BI, Git, Azure.

Project: Several Cross Platforms Apps for Clients ● Lead cross-functional teams, including data scientists, software engineers, and product managers, to deliver AI-driven applications. ● Design and develop scalable ML and DL models to address complex business problems. ● Implement robust data pipelines to preprocess, clean, and transform data for model training and evaluation. ● Collaborate with data scientists to translate research into production-ready code. ● Ensure the reliability and scalability of deployed solutions. ● Design and create multi-platform mobile applications for both iOS and Android using the Flutter SDK. Tech Stack: Python, FastAPI, scikit-learn, Tensorflow, DRF, PySpark, AWS, Git, SQL, Github, Flutter SDK, Firebase.

Project: Several Cross Platform Apps for B2B and B2C ● Led an international team to build a B2B app and a B2C finance app for Android and iOS using Flutter SDK. ● Responsible for architecture and project structure. ● Maintained code quality by writing tests and performing code reviews. ● Responsible for deployment to the app stores. ● Integrated Firebase features: Cloud Functions, Firestore, Real-Time DB, Push Notifications, Cloud Storage, Crashlytics, App Distribution, App Check, Auth with third-party providers, Test Lab, Dynamic Links. Tech Stack: Python, FastAPI, Django, Flutter, Dart, Kotlin, Firebase, AWS Amplify, GCloud APIs such as Google Maps API, Document AI API, Vision API, and AutoML API, JavaScript, Git, Github, Codemagic, Hasura, GraphQL, RESTful API, Web Sockets.

Project: Development and support for internal apps. ● Effectively addressed complex bugs. ● Implemented and updated application modules under the direction of Senior Software Developers. ● Successfully worked at an independent level, while also serving as an effective and enthusiastic collaborator. ● Work closely with other employees on projects. ● Analyze and identify needs by investigating problem areas and implementing user feedback to develop software that meets those needs. ● Design and implement new software programs and systems and develop and modify existing programs as needed. ● Develop, test, and refine code before communicating it to others involved with the project. Tech Stack: Python, Django, DRF, Javascript, CSS, HTML5, Git, C#, .Net

Project: Development and support of internal apps. ● Worked productively with the Product Team to understand requirements and business specifications around Portfolio Management, Analytics and Risk. ● Effectively coded software changes and alterations based on specific design specifications. ● Worked to solve complex problems using the latest in Cloud, Mobile, and Web Technologies. ● Developed and presented findings and solutions to audiences including senior executives. Tech Stack: Python, CSS, Javascript, HTML, Microsoft SQL Server.