SDE

Full-stack Development Bengaluru, Karnataka, India

Profile
Contacts

Summary

ML intern | Amazon |
June-July 2025
Developed and Fine-Tuned an NLP model for sentiment analysis on millions of customer reviews , achieving a 20% improvement in classification accuracy and enhancing customer feedback insights .
Designed and implemented a time series forecasting model using RNNs , resulting in a 15% boost in demand forecasting accuracy and driving significant improvements in inventory planning and supply chain efficiency .
Collaborated with a cross -functional team of data engineers to architect a scalable data infrastructure , enabling seamless storage , processing , and retrieval of terabyte -scale datasets for machine learning workflows

SWE Intern | Qualcomm |
MayJul 2024
Designed and implemented a robust pipeline ensuring consistent feature dimensionality across heterogeneous datasets, successfully extracting 15+ critical GNSS features for downstream analysis.
Developed and trained a custom neural network model with 95.8% accuracy, leading to a substantial reduction in GNSS positioning errors and enhancing system reliability.

Expectations

I am a Full-Stack Developer skilled in JavaScript (React, Node.js, Express), Python (Django, Flask), and TypeScript. I build scalable applications with databases (MongoDB, MySQL) and have experience in CI/CD (Docker, Kubernetes), cloud platforms (AWS, GCP), and performance optimization.

I also specialize in Machine Learning and Deep Learning, focusing on NLP, Computer Vision, and Time Series Forecasting. I work with Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face to develop and optimize AI models.