🍗About Me
I am an MS, Computer Science student at Georgia Institute of Technology, expected to graduate in Spring 2025. My current research focuses on applications of Large Language Models in the field of Natural Language Processing, advised by Prof. Alan Ritter. Previously, I have worked as a Software Engineer at Wells Fargo for 2 years, contributing to back-end development of an enterprise business process management application. I’ve also spent six months researching on Eye Gaze Estimation under Dr. François Brémond as a Research Intern. Apart from my academics, my time goes into following Cricket and Formula Racing.
- Natural Language Processing
- Computer Vision
- Back-end Development
M.S., Computer Science
Georgia Institute of Technology, Atlanta, USA
B.E., Electronics and Instrumentation Engineering; M.Sc. Physics (dual)
Birla Institute of Technology and Science, Pilani, India
Experience
Software Engineer
Wells Fargo, Hyderabad, India- Contributed to development of an enterprise business process management platform, streamlining 180+ banking operations
- Designed & developed a Kafka-based event messaging solution that sends 200000+ msgs/day of business data to warehouses
- Programmed and integrated APIs to securely insert, search and retrieve documents from enterprise content management platform
- Successfully led a data schema migration drive, collaborating with multiple business federations to plan and manage deliverables
Research Intern
Inria, Sophia Antipolis, France- Devised a novel technique for person-independent eye gaze estimation by seamless extraction and fusion of key physical features
- Developed numerous deep learning models to remove subject bias by utilizing anatomical features of the eye from facial landmarks
- Obtained best mean 3D angular error of 4.27 degrees, achieving state-of-the-art result and reducing the error by 20% from previous best
Technical Intern
Thomson Reuters, Hyderabad, India- Successfully programmed full-stack of a web portal responsible for tracking projects and maintaining a hierarchical user access
- Also implemented a machine learning model for time-series forecasting of monthly expenses of different business units of the organization
- Achieved an accuracy of 94.5% on overall expenses and 85.12% on individual business units on a test set of 4th quarter of 2020
Software Development Intern
Rapha Medic Pvt. Ltd., Hyderabad, India- Developed full-stack of a native mobile application capable of providing end-to-end medical services to users
- Implemented the front-end using Angular and Ionic Framework, and back-end using Express.js and Spring Boot
- Integrated video conferencing service using Twilio, and live chat using web sockets to allow seamless interaction of users with medical experts
Education
M.S., Computer Science
Georgia Institute of Technology, Atlanta, USAGPA: 3.8/4.0
Courses: Graduate Algorithms, Machine Learning, Deep Learning, Advanced Natural Language Processing, Computer Vision, Systems for Machine Learning, Enterprise Cybersecurity Management
B.E., Electronics and Instrumentation Engineering; M.Sc. Physics (dual)
Birla Institute of Technology and Science, Pilani, IndiaCGPA: 8.44/10.0
Relevant Courses: Object Oriented Programming, Operating Systems, Neural Networks and Fuzzy Logic, Pattern Recognition, Microprocessor Programming and Interfacing, Computer Programming
