Vitae

Birla Institute of Technology and Science (BITS Pilani)

B.E. Computer Science

CGPA: 9.81

• Coursework: Data Structures and Algorithms, Object Oriented Programming, Database Systems, Theory of Computation, Operating Systems, Computer Networks, Artificial Intelligence, Computer Graphics, Human Computer Interaction

South Point School Guwahati

Secondary Education

Percentage: 97.2%

Sprinklr

Software Developer Intern

• Identified and resolved memory leaks throughout the codebase using memlab, resulting in a significant reduction of 10+% in overall memory consumption
• Implemented Server-Side Rendering (SSR) for components with comprehensive end-to-end testing using Next.js and GraphQL, facilitating dynamic rendering and achieving load time enhancements by 20+%
• Currently focused on enhancing system performance and resiliency through ongoing detection of render blocking agents and optimization of existing codes to resolve potential errors and application crashes

BITS Pilani

Research Intern

Supervisor: Dr. Sundaresan Raman

• Developed a tool for manual annotation of Fundus images, identifying lesions like soft exudates, hard exudates, microaneurysms, hemorrhages, and neovascularization
• Collaborated with a local hospital, employing the tool to create a dataset of approximately 3,000 annotated Fundus image entries
• Applied Image Processing techniques and trained customized Deep Learning models to automate the annotation tool’s functionality, achieving 75+% accuracy and 80+% specificity.

Uber

Software Developer Intern

• Developed an end-to-end application using React.js, GraphQL, and GoLang for handling various Credit Types within the company’s portal, catering to the needs of over 2000 employees
• Implemented the migration of data to a new database based on MySQL, establishing a centralized data source for financial transactions, ensuring security and transparency
• Automated the integration process along with end-to-end testing for both the client-side and the server-side, significantly improving upon system reliability and reducing onboarding time by 2 months

Mercedes-Benz Research & Development India

Research Intern

Supervisor: Dr. Poonam Goyal

• Enhanced vehicle component design by training customized VAE Models for controlled generation of designs based on parameters provided
• Utilized a proprietary dataset of 25,000+ data points to generate diverse designs and pre-calculated heuristics for comparison with existing resembling neighbors
• Optimized product development through an application-like website for user-friendly access of the deployed ML model and generating custom designs for company research

Jio Platforms

Summer Research Intern

• Utilized web scraping techniques to efficiently download bulk images with specific keywords, manually annotating them to establish sample datasets for future automation
• Improved and optimized the annotation process, devising a pipeline for automated bounding box dataset creation tailored to specific requirements
• Trained a customized YOLOv7 model on diverse datasets, including a proprietary one, achieving over 90% confidence in successfully distinguished objects and barriers from humans

Systemic Diabetic Retinopathy Analysis

Software Developer Intern

Supervisor: Dr. Sundaresan Raman

• Developed an open-use portal for Diabetic Retinopathy analysis, focusing on systemic factors for research and testing
• Conducted a comparative study on tabular data using techniques including TabNet and DeepForests, achieving a successful model testing accuracy of 80+% across local hospitals in India and Hong Kong

Dynamic Third-Person Shooter Game Development

Research Intern

Supervisor: Dr. Sundaresan Raman

• Developed an open-world third-person shooter game in 3D using C# with missions, day-night cycles, and inventory for immersive gameplay
• Integrated high-quality game assets created in Blender, utilizing Unity for fluid animations and CineMachines to enhance cinematic camera perspectives in the game environment

Text-Based Fake News Classification

Summer Research Intern

Supervisor: Dr. Virendra Singh Nirban

Publication: [ DOI ]

• Researched and reviewed supervised learning classification methods to tackle online misinformation and fake news, utilizing Bi-LSTM, LSTM, and Ensemble Learning Models
• Achieved 90+% on all evaluation metrics on an online news dataset, and the results were published in Lecture Notes in Networks and Systems, volume 649, Springer Nature, pages 690-701, 2022

BITS Pilani

Teaching Assistant

Supervisor: Dr. Tanu Shukla

• Taught Techniques in Social Research and Introduction to Psychology courses to a class of 100+ students, helped prepare course materials, conducted regular evaluations, and held field classes for brainstorming sessions

BITS Pilani

Teaching Assistant

Supervisor: Dr. Vinay Chamola

• Taught Microprocessors and Interfacing course to class of 50+ students, conducted weekly labs, and held regular classes for doubt clarification sessions

Arunodoi

Publicity Coordinator

• Led the photo-editing and video-editing teams of Arunodoi - the association representing Northeast India, to improve cultural awareness and community engagement

Indian Red Cross Society

Volunteer

• Volunteered for executing a two-day long Blood Donation Camp with 3000+ footfall and 800+ donations