About
Note: I am looking for full time software development positions after I graduate in May 2024 I am a Masters in Computer Science student at Georgia Tech. My areas of interest include software and full-stack development, cloud computing, and the deployment of scalable machine learning systems. I constantly look for new opportunities that allow me to continue learning and developing as a computer scientist alongside the best professionals in the field. I enjoy solving technical problems, researching and developing new technologies, and designing software systems using different platforms. I am a quick learner who excels at working under pressure and in a team environment. In the past, I have worked with different machine learning frameworks such as Tensorflow, Keras, Pytorch, and Microsoft LUIS and deployed these in applications built using Django, Flask, Micronaut, etc. I have extensive expertise in full-stack development technologies such as React.js, Spring Boot, Vue.JS, Nodejs, Expres…
Experience
Associate Application Developer
ADP · Alpharetta, Georgia, United States
Graduate Teaching Assistant
Georgia Institute of Technology · Atlanta, Georgia, United States
• Provided valuable assistance to a cohort of 1200 students in ”Introduction to Graduate Algorithms,” including addressing inquiries, precise grading, and proctoring exams • Collaborated closely with instructors and peers to enhance course quality and structure
Global Product and Technology Intern
ADP · Alpharetta, Georgia, United States
• Developed multiple pages using React.js integrated with Spring Boot Microservices, hence streamlining the process of contact association for over 10 teams and 2 products • Orchestrated Oracle SQL database design for efficient data handling, ensuring smooth data access for teams • Collaborated effectively with cross-functional teams to gather requirements, identify pain points, and provide innovative solutions for employee benefits contact application design
Graduate Research Assistant
Georgia Institute of Technology · Atlanta, Georgia, United States
• Spearheaded the development of an innovative self-supervised machine learning methodologies utilizing PyTorch, enabling multi-timescale behavior analysis • Led the implementation of diverse neural network architectures on the multi-agent mouse behavior dataset, resulting in the creation of robust behavior representations and accurate predictions of future action
Graduate Lounge and Program Assistant
Georgia Institute of Technology · Atlanta, Georgia, United States
• Efficiently oversaw the daily operations of the graduate lounge, ensuring a well-organized and welcoming environment • Enhanced communication and engagement skills through interactions in recreational settings, fostering a sense of community among graduate students • Conceptualized, planned and executed recreational events within the lounge thus promoting relaxation and camaraderie
Associate Data Engineer
Lowe's India · India
• Built Java and Kotlin microservices using Micronaut which enabled stores to analyze various market trends and ensure better sales, implementing more than 30 new features • Created continuous integration and deployment pipelines for 2 new microservices using Jenkins and ArgoCD enabling automation of builds • Computed proprietary absolute and relative ranking mechanisms for various Lowe’s stores and departments • Assessed and validated the performance of the system during high request traffic using K6, InfluxDB ,and Grafana
Software Developer Intern
Mysore Steel Products · Bengaluru, Karnataka, India
• Developed a web and mobile application using the MEFN stack which facilitates the purchase of company products • Performed SEO Optimization and optimized website resulting in approximately 20% higher user traffic
Developer Intern
• Created a portal using the MEVN stack which enabled users to get their specific images from social gatherings • Developed the facial recognition and clustering models using MXNet for the portal, achieving 92% accuracy on sample data • Deployed the system in the cloud using AWS EC2 and Lambda and assessed scalability and accuracy of the system
Intern
Indian Institute of Science (IISc) · Bengaluru, Karnataka, India
• Assisted in the development of a deep reinforcement learning system (Adaptive constrained Deep Q Network) for power control in multicast wireless networks • Visualized and recorded performance results of the system with varying user parameters (users, file size, transmission rate, bandwidth) for further analysis and model tuning
Education
Georgia Institute of Technology
Master's degree, Computer Science
Ramaiah Institute Of Technology
Bachelor of Engineering - BE, Computer science and engineering
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