I am an Associate Software Engineer based in Gurugram, India, with a strong background in Cloud Infrastructure, DevOps, and Full-Stack Development. I specialize in building scalable solutions using Microsoft Azure and have a deep passion for Machine Learning.
- 🔭 I’m currently working on: Engineering scalable cloud infrastructure and CI/CD pipelines at Accenture.
- 🎓 Education: B.Sc. (Honours) in Computer Science from Ramanujan College, University of Delhi.
- 🧠 Interests: DevOps, Automation, Competitive Programming, and Deep Learning.
- 🚀 Achievement: Solved 350+ problems on LeetCode.
| Category | Technologies |
|---|---|
| Languages | Python, C++, SQL, JavaScript, TypeScript, PowerShell |
| Cloud & DevOps | Microsoft Azure (AZ-900), Docker, Kubernetes, Terraform, CI/CD, Ansible |
| Web Development | React, Node.js, Express.js, HTML/CSS, REST APIs |
| Machine Learning | TensorFlow, PyTorch, Scikit-learn, Pandas, NLP, CNNs |
| Databases | MongoDB, SQL Server, PostgreSQL |
- Image Classification (CNN): Constructed a CNN model achieving 90% accuracy on the CIFAR-10 dataset using TensorFlow and Keras, implementing data augmentation and hyperparameter tuning.
- House Price Prediction: Developed a linear regression model predicting house prices with 92% accuracy by engineering features from 1,500+ data points.
- Movie Recommendation System: Built a recommendation engine achieving 75% precision using SVD collaborative filtering on the MovieLens dataset.
- Sentiment Analysis: Developed an NLP model to classify product review sentiments with 88% accuracy using TF-IDF and logistic regression.
- APC Software Development Cell (Internship): Led the development of a full-stack web application using React, Node.js, and MongoDB, improving application performance by 40% and delivering the project two weeks ahead of schedule.
