00.00.00

All Experiences

Full Experience Archive

Command Palette

Search for a command to run...

Samsung PRISM
Samsung PRISM
Research Intern
Mar 2025 - Aug 2025
Bengaluru, Hybrid

100K+

Records

78 - 97%

Accuracy

Mar-Aug

Term

3

Domains

  • •Predictive Modeling: Built models for delinquency risk, marketing performance and sales forecasting on 100K+ real-world business records
  • •Accuracy: Improved prediction performance from 78% to 97% through feature engineering and experimentation
  • •Decision Support: Developed workflows that turned raw business data into actionable insights across multiple use cases
  • •Evaluation: Measured model performance with quantitative metrics and presented findings to stakeholders
PythonMachine LearningData AnalysisFeature EngineeringForecasting
resumerite
resumerite
Backend Engineer Intern
Sep 2025 - Apr 2026
Remote

10,000+

Students

Backend

Role

Sep-Apr

Term

Data

Focus

  • •Workflows: Built digital workflows that streamlined resume management and placement processes for students
  • •Automation: Reduced manual administrative effort by automating document generation and tracking
  • •Data Models: Designed scalable data models for user profiles, resumes and application records
  • •Scale: Contributed to a platform supporting placement workflows for 10,000+ students annually
  • •Collaboration: Worked closely with product, design and engineering teams to deliver user-focused solutions
FastAPIPythonMongoDBREST APIsDocker
Published Research
Published Research
First Author & Reviewer, SMM4H-HeaRD 2026
2026
Precision Agriculture

First Author

Role

BiLSTM

Model

SHAP

XAI

SMM4H

Venue

  • •Paper: Time-to-Stress Prediction in Precision Agriculture, a Dual-Head BiLSTM approach with SHAP-based temporal attention
  • •Approach: Designed a dual-head BiLSTM with SHAP-based temporal attention for interpretable time-to-stress forecasting
  • •Service: Selected as a Reviewer for SMM4H-HeaRD 2026
BiLSTMSHAPTensorFlowDeep LearningTime Series