Results-driven Software Engineer valued for driving quality and consistency throughout all phases of software development projects. Skilled in directing development with creative and
performance-oriented approach. Equipped with excellent troubleshooting skills. Highly adaptable in fast-paced technical environments with very strong organizational and analytical skills.
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Experience
ABN Circle LLC, Chicago IL May 2020 to Aug 2020
Software Developer Intern
• Developed & designed website using DUDA API, PHP, cURL
• Developed consistent modules for the website in HTML, JavaScript, CSS, ReactJS, Ionic framework
• Improving page layout to optimize end user-experience
• Organizing data for better analysis
Attra Infotech PVT LTD, Bengaluru, Karnataka Jan 2016 to July 2019
Senior Software Engineer
• Global Collection Only - Developed technical platform for processing of Debit card transactions all over UAE switch
• Multicurrency Processing - Developed a tool in processing multi-currency transactions and a tool in reconciling incoming and outgoing transactions (Java, SQL, J2EE)
• Compliance - Designed, developed, and implemented programs in compliance with Visa and MasterCard mandates
• Developed a system to automate an existing transaction management system using client-server architecture and relational database management system
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Projects
Thermal Modeling and Temperature Comparison of IRNSS Fleet of Spacecrafts | VTU
Developed tool to monitor and record the temperature variations across 7 IRNSS spacecrafts (Java, J2EE)
An Empirical Evaluation of Distributed Key/Value Storage Systems | IIT, Chicago, US
Analyzed NoSQL databases like MongoDB, Cassandra, Riak, Redis, Memcached on 8 instances of AWS (Python) deploying P2P file sharing system on Linux platform featuring file consistency handled by push or pull requests
Music Analysis and Genre Classification using Deep Learning | IIT, Chicago, US
Pre-processed 30s FMA music audio mp3 files to generate mel-spectrograms using Librosa library and fed into CRNN architecture to classify the genre by applying different hyper-parameters to the architecture
Predict whether a mammogram mass is benign or malignant | Personal Project using Deep Learning and Machine Learning methodologies
Applied several different supervised machine learning techniques using python to find highest accuracy as measured with K-Fold cross validation (K=10)