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Aditya Mangla is listed as Software Engineer & AVP @ Wells Fargo at Wells Fargo, a company with 246787 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Aditya Mangla.
Aditya Mangla previously worked as Software Engineer at Wells Fargo and Program Associate at Wells Fargo. Aditya Mangla holds B.Tech, Computer Science from Srm University.
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I am an experienced software engineer who is passionate about designing and deploying scalable systems. With expertise in integrating AI-driven features, I have contributed to patents and research publications while modernizing fintech solutions. I thrive on solving complex challenges through data-driven methods, delivering resilient software solutions that meet high-quality standards.
Listed skills include Artificial Neural Networks, Support Vector Machine, Amazon Web Services, Deep Neural Networks, and 30 others.
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A career timeline built from the work history available for this profile.
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.
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.
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.
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.
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.
> 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.
London, England, United Kingdom
> Worked as Chatbot Developer, implemented NLP algorithms to create chatbots using RASA Framework along with Tensorflow Framework
~ 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.
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.
> 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.
Other employees you can reach at wellsfargo.com. View company contacts for 246787 employees →
Rachel Nelson
Colleague at Wells Fargo
College Station-Bryan Area, United States
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JM
John Minton Iii
Colleague at Wells Fargo
Charlotte Metro, United States
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Jacinda Chan
Colleague at Wells Fargo
Fremont, California, United States, United States
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Danny (Dan) Dunn
Colleague at Wells Fargo
Apopka, Florida, United States, United States
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WZ
William Zoellner
Colleague at Wells Fargo
Greenville-Spartanburg-Anderson, South Carolina Area, United States
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RC
Roopitha Cheyanda Poonacha
Colleague at Wells Fargo
Bengaluru, Karnataka, India, India
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BH
Briggs Haugen
Colleague at Wells Fargo
Greater Boston, United States
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Anahi Torres
Colleague at Wells Fargo
Los Angeles Metropolitan Area, United States
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TV
Tina Vanus
Colleague at Wells Fargo
Glendale, Arizona, United States, United States
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AV
Arun Veera Balaji
Colleague at Wells Fargo
Chennai, Tamil Nadu, India, India
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~ Conceptualized and pitched the idea "Curae" to the SIIC judges panel under NewGen IEDC by SIIC. ~ Secured funding of 2.5 lacs..
Quick answers generated from the profile data available on this page.
Aditya Mangla works for Wells Fargo.
Aditya Mangla is listed as Software Engineer & AVP @ Wells Fargo at Wells Fargo.
Aditya Mangla is based in Bengaluru, Karnataka, India while working with Wells Fargo.
Aditya Mangla has worked for Wells Fargo, Project Curae, Siic, Samsung India, Analytics Vidhya, and Rintez Healthcare.
Aditya Mangla's colleagues at Wells Fargo include Rachel Nelson, John Minton Iii, Jacinda Chan, Danny (Dan) Dunn, and William Zoellner.
You can use AeroLeads to view verified contact signals for Aditya Mangla at Wells Fargo, including work email, phone, and LinkedIn data when available.
Aditya Mangla holds B.Tech, Computer Science from Srm University.
Aditya Mangla is listed with skills including Artificial Neural Networks, Support Vector Machine, Amazon Web Services, Deep Neural Networks, Reinforcement Learning, Matlab, Principal Component Analysis, and Linear Regression.
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