Jun 2023 – Jan 2025 · 1 yr 7 mos · Greater London, England, United Kingdom

• As a Front of House Team Leader at Stonegate Pub Company, I honed my leadership and customer service skills by, Managing team operations, resolving conflicts, and ensuring exceptional guest experiences. My role required strong communication, problem-solving, and organisational abilities, which are crucial for collaborative and detail-oriented tasks.

Dec 2021 – Jul 2023 · 1 yr 7 mos · Greater London, England, United Kingdom

Jan 2023 – Nov 2025 · 2 yrs 10 mos · London Area, United Kingdom · Remote

• FinRisk Copilot: - Designed an end to end GenAI-powered risk analysis copilot using LLMs, LoRA/PEFT fine-tuning, and RAG pipelines. Built workflows for credit risk, FICO score quantization, and financial insights. Integrated vector databases for real-time retrieval, delivering faster and more accurate assessments.
• White Balance AI: - PyTorch computer vision system that automates professional photo editing by predicting optimal temperature and tint settings, achieving 73% accuracy through multi-modal learning and M4 chip optimisation.
• AI Invoice Extractor: - Engineered a hybrid AI system blending transformer-inspired pattern recognition with traditional NLP, implementing custom tokenisation and context-aware parsing that mimics BERT's understanding capabilities for document intelligence.
• GenAI Tourism Assistant: - Bunking Traveller, a LangChain + RAG AI assistant for live travel recommendations; engineered scalable pipeline with vector databases.
• Self Learning ChatBot: - A simple ChatBot that learns from user interaction and stores knowledge in a JSON file, uses Fuzzy matching to find the best match for user queries and gets smarter with time.
• Pet Image Classifier iOS App: - Created an image classification model custom trained to distinguish between Dogs, Cats, and Rabbits. Integrated it into an iOS App for seamless on-device interface.
• SeeFood - HotDog vs Not HotDog iOS App: - An image recognition app using Apple’s pre-trained InceptionV3 model to identify whether a photo is of a HotDog.
• Basic Text Sentiment Analysis: - Developed a Python based sentiment analysis tool leveraging NLP techniques and BERT to assess text polarity. Useful for early sentiment detection in customer feedback.
• Airbnb SwiftUI clone: - A Clone of the Airbnb iOS application using SwiftUI to understand the basics of the design and how does the idea work in order to provide such a smooth experience with the potential of integrating GenAI.
• More 30+ iOS Applications and projects in AI/ML.

Sep 2020 – Aug 2021 · 11 mos · California, United States

• Computed, tested, and launched the eGlobalDoctors application on the App Store; facilitated access to 400+ services provided by a network of over 40 specialists for the wellbeing of people in more than 8 countries.
• Integrated APIs and directed user-friendly interfaces for all types of screen sizes and mobiles to ensure smooth navigation and optimised user experience for helping people & maintain the business requirements.
• Collaborated with cross-functional teams via GitLab to ensure app stability, performance, and scalability for a global user base of the product with a streamline pattern throughout the Lifecycle and End-to-End Testing.
• Designed and implemented a custom notification system for the eGlobalDoctors application, which streamlined communication between users and specialists, resulting in an increase of user engagement by 300 interactions per week resulting in faster growth of the business.
• Launched a comprehensive testing protocol that identified five recurring issues during app development; this led to improved performance and reduced downtime before launching new features across platforms.
• Proposed custom test cases leading to a significant reduction of bugs identified during beta testing, allowing smoother app launch and improving feedback from over 100 initial users regarding performance issues.
• Completed unit tests on over 30 code modules before release, ensuring robust quality assurance following the processes; resulted in zero critical issues reported by end-users after deployment of new updates.
• 400+ Doctors | 40+ Services | 8+ Countries

Mar 2020 – Sep 2020 · 6 mos · Chhatrapati Sambhajinagar, Maharashtra, India

• Developed an iOS app for tourism in Aurangabad, integrating MapKit technology for location-based navigation usage and recommendations. Delivering a fully functional app, helping users travel from airports, railway stations, and bus stops with ease using MVC model architecture framework.
• Conducted unit testing and optimisation to ensure seamless performance across different locations and travel scenarios saving 75% time for tourists to easily navigate through the city in every phase..
• Optimised API integration processes resulting in quicker response times, achieving an average latency improvement of two seconds per transaction without compromising data integrity or security measures.
• Established modular components for future app features that reduced coding time by up to 40% when updating existing functionalities or adding new ones in collaboration with fellow developers.
• Wrote detailed technical documentation for future developers covering installation procedures and troubleshooting tips; this resource streamlined onboarding efforts for two new team members joining post-launch of projects and many more in the pipeline.