Aditya Mangla Email & Phone Number

Bengaluru, Karnataka, India

* Developed and launched Paze Wallet, enrolling over 125 million cards and enabling seamless, secure transactions by leveraging expertise in payment solutions and strategic collaboration with EWS.* Developed and implemented a Digital Authentication Framework that shifted CNP (Card Not Present) fraud loss liability from merchants to banks, reducing fraud by ~$3.44MM annually through improved security on wallet attacks.* Introduced key features such as WF App Verify and PRS Integration to enhance authentication processes and reduce fraud risk in digital transactions.* Ensured system resilience and reliability, minimizing downtime and enhancing stability through non-functional requirements like chaos engineering, canary releases, and circuit breakers.* Delivered robust, maintainable code, ensuring high reliability and quality by adhering to rigorous 100% unit and mutation testing protocols.* Innovated within the organization, driving technological advancement and intellectual property creation by proposing ideas for white papers and 2 patent applications.* Developed a One-Click Payment feature for Zelle integration, improving user convenience and transaction efficiency through payment gateway integration and streamlined user interface design.* Utilized Harness for feature flag integration, streamlining deployment processes and enabling controlled feature rollouts by applying continuous delivery practices and managing feature toggles.* Skills utilized: Digital Authentication, API Integration, Risk Management, Software Development, Microservices, Automation, CI/CD, Debit/Credit Card Business Domain Knowledge

Bengaluru, Karnataka, India

* Integrated and enhanced 4 third-party wallet platforms such as Google Pay, Samsung Pay, Apple Pay, and PayPal, streamlining card provisioning through digital wallets and banking application integration expertise. *Modernized cheque processing system, enhancing accuracy and streamlining processes using OCR and signature verification.* Increased testing efficiency by {30%} by automating regression test processes and business flow.* Led 3 proof-of-concept (POC) initiatives, exploring innovative use cases and advancing technology adoption by incorporating machine learning and cloud technologies.* Skills utilized: API Integration, Risk Management, Software Development, Artificial Intelligence, Microservices, Automation

India

* Applied time-series forecasting algorithms, improving accuracy in predicting transaction counts and amounts across multiple banking channels by analyzing historical data and identifying trends in 8k+ branches and 13k+ ATMs.* Built a Rasa-based chatbot and deployed it to Azure as a proof of concept, enabling real-time analytical insights from transaction dashboards by integrating the chatbot with Microsoft Teams and leveraging Azure cloud services.* Skills utilized: API Integration, Risk Management, Software Development, Artificial Intelligence, Microservices, Cloud Deployment.

India

* Founded Project Curae, a medical app designed to store and share patients' medical records using QR codes, improving accessibility and efficiency in healthcare by leveraging QR code technology for seamless data sharing between patients and doctors. * Secured ₹2.5 Lakhs in funding from SIIC, enabling the development of the project by presenting a compelling business case and demonstrating the potential impact of the project

India

~ Awarded with Excellence certificate.~ Developed Conversation Summarization Work-let as a Machine Learning Developer.~ Implemented Markov Model got an accuracy of 0.889 which we scaled to 0.9528 with HMM which is pretty close to the benchmark of 0.9646 on WSJ Dataset.~ Implemented NLP algorithms including state-of-the-art models such as BERT and got an accuracy of 98.29% with a loss of 0.2467 on slot identification task on SNIPS dataset.~ Scaled this accuracy to 98.71% with a loss of 0.0837 by implementing a joint model- Intent Classifier + NER Model.~ Made 7 Models with over 200k dataset entries.~ Experimented using new libraries such as TRAX by google.~ Built Models for POS Tagging, Intent Classification, Slot Identification, and Named Entity Recognition(NER).~ Got some great insights on performance difference using the joint model and experimenting with the Conditional Random Field(CRF) layer with LSTM which nearly matched the performance of the state-of-the-art model.

> Worked as a Content Writer.> Wrote an article on attention mechanism in upcoming NLP state-of-the-art models.> Got 150+ reads

London, England, United Kingdom

~ Worked as a chatbot developer, leveraging the chatbot architecture RASA to build and experiment with chatbots, which helped me gain insights into chatbot development and application.~ Devised an idea to develop a chatbot for medical help and optimize it to great levels with the available resources and research on different methods and machine learning algorithms to do so.

London, England, United Kingdom

> Worked as Chatbot Developer, implemented NLP algorithms to create chatbots using RASA Framework along with Tensorflow Framework

London, England, United Kingdom

Chennai, Tamil Nadu, India

~ Developed Food Bot. Integrated inside website using NodeJS.~ Integrated the carousel and back button feature in the chatbot, resulting in increased usability and reduced load time by 50%.~ Delivered Food Bot project in a two-man group within 30 days with the requesting framework, client data, FAQs, including more than 1 fundamental menu and 3-4 sub-menus in the chatbot.~ Modified FAQ's functionality~ Used functionalities such as timeout, order, and person details~ Used regex to verify user input~ Executed query fetching and passing from user input to backend~ Developed feature of ordering again in chatbot~ Extracted response and user database from JSON file

Chennai, Tamil Nadu, India

Worked as a machine learning developer on Conjexure-A-Web-App-for-Stock-Market-Forecasting, applied time series algorithms using LSTM to predict future stock prices based on past values. It has the following functionalities:Forecasts Stock Prices of Alphabet Inc. (GOOGL)Forecasts Stock Prices of Apple Inc. (APPL)The forecast time window can be set by the user.Wrote Blog on Residual Networks

> Started writing blogs on core machine learning topics based on research papers.> Wrote blogs on time series prediction> The blog got featured on their main website page.

Chennai, Tamil Nadu, India

> Lead the Machine Learning Team> Reviewed 70+ applications> Interviewed 20+ people for the machine learning developer position

Chennai, Tamil Nadu

> Started as a website developer. > Lead the project Healthcare> Developed Project Team(club in college) Website> Designed and Developed DOT(startup) website product page> Designed and Developed BioCom Team page> Modified BioCom main website, used on-page SEO

Chennai, Tamil Nadu, India

> Worked on On-Board Computer of nanosatellites the heart and brain of nanosatellites.> Got training on working of Arduino and connection statuses along with transfer protocols.

B.Tech, Computer Science

~ Conceptualized and pitched the idea "Curae" to the SIIC judges panel under NewGen IEDC by SIIC. ~ Secured funding of 2.5 lacs..

12Th, Non- Med