RAUNAK CHOUDHARY

Master's Student in Computer Science | AWS Cloud & AI/ML Engineer
Brooklyn, 11209, New York, US.

About

A highly accomplished Master's student in Computer Science with 3+ years of experience in AWS cloud development, data science, and machine learning. Proven ability to lead complex cloud migration projects, optimize system performance, and develop high-accuracy AI/ML models, driving significant improvements in efficiency, scalability, and data-driven decision-making. Seeking to leverage expertise in cloud computing, deep learning, and data analytics to innovate and deliver high-impact solutions in a dynamic tech environment.

Work

Tata Consultancy Services (TCS) Ltd.
|

AWS Developer

Bengaluru, Karnataka, India, India

Full-Time

Summary

Led an 8-member infrastructure team to deliver AWS cloud migration solutions, automating deployments and optimizing system performance for global clients.

Highlights

Led an 8-member infrastructure team, achieving 100% on-time deployment and a 20% reduction in downtime for AWS cloud migration solutions.

Boosted deployment efficiency by 25% through automating infrastructure using AWS Cloud Development, DevOps tools, and Infrastructure as Code.

Halved system and network issues by 50% by seamlessly integrating AWS solutions with application and database teams.

Executed end-to-end cloud migrations for international clients (UK, US, Brazil), elevating client satisfaction by 20%.

Successfully migrated over 30 applications to AWS with zero data loss, reducing migration time by 45%.

Architected scalable solutions for 10 applications, collaborating with lead AWS architect to enhance system scalability by 35%.

Mentored 15+ new team members, reducing onboarding time by 50% and improving delivery consistency.

Recognized as a top 10% performer for sustained high performance, demonstrating exceptional contributions to critical projects.

Great Learning Pvt. Ltd.
|

Data Science Intern

Remote, India

Internship

Summary

Analyzed over 1 million data points from e-commerce, insurance, and sports datasets to generate actionable insights.

Highlights

Analyzed over 1 million data points from Amazon E-commerce, Insurance, and LaLiga datasets, delivering actionable insights.

Optimized data analysis time by 20% leveraging Python, NumPy, Pandas, and advanced data visualization techniques.

Enhanced data accuracy by 30% via advanced preprocessing and feature engineering techniques.

Amplified data insights by 35% using advanced visualization techniques like Violin Plots, Network Graphs, and Heatmaps.

Verzeo Edutech Ltd.
|

Machine Learning Intern

Bengaluru, Karnataka, India

Internship

Summary

Developed 3 machine learning projects using Python, applying core algorithms across multiple domains.

Highlights

Developed 3 machine learning projects using Python, applying core algorithms across diverse domains.

Engineered an Autism Spectrum Disorder prediction model achieving 88% accuracy.

Utilized K-Nearest Neighbors and Random Forest algorithms to ensure robust model reliability.

Improved text input accuracy by 10% through the application of Natural Language Processing methods.

Volunteer

Graduate Indian Student Association at NYU Tandon
|

Head of Operations

New York, NY, United States of America

Summary

Appointed to lead event planning, team coordination, and graduate student engagement initiatives for a vibrant student community.

Highlights

Leading event planning, team coordination, and graduate student engagement initiatives for a large student body.

Developing strategies to foster community and enhance the student experience at NYU Tandon.

New Graduate Student Orientation Team at NYU Tandon
|

Graduate Orientation Leader

New York, NY, United States of America

Summary

Selected to support onboarding, conduct orientation sessions, and guide incoming graduate students.

Highlights

Supported the successful onboarding of new graduate students, facilitating their transition into the university environment.

Conducted engaging orientation sessions and provided essential guidance to incoming graduate students.

Education

New York University
New York, NY, United States of America

Master's

Computer Science

Grade: 3.889/4.0

Courses

Design and Analysis of Algorithms

Software Engineering

Machine Learning

Deep Learning

FinTech

Visvesvaraya Technological University
Bengaluru, Karnataka, India

B.E.

Computer Science and Engineering

Grade: 8.47/10.0

Courses

Data Structures and Algorithms

Object Oriented Programming in Java

Web Development

Operating Systems

Awards

Star of the Quarter

Awarded By

Tata Consultancy Services (TCS) Ltd. Management

Recognized for exceptional contributions to a critical project, meeting stringent licensing requirements and delivering a 30% improvement in project compliance and efficiency.

Languages

English

Certificates

AWS Certified Cloud Practitioner

Issued By

Amazon Web Services (AWS)

AWS Certified Data Analytics - Specialty

Issued By

Amazon Web Services (AWS)

Skills

Cloud Computing

AWS, Azure, Google Cloud Platform (GCP), Docker, Kubernetes, Jenkins, GitLab CI/CD, ArgoCD, Helm, Terraform, CloudFormation, Ansible, Prometheus, Grafana, EC2, S3, RDS, Redshift, DynamoDB, Lambda, SageMaker, API Gateway, DMS, Amazon MQ, AMS.

Data Science & Machine Learning

Machine Learning, Deep Learning, Artificial Intelligence, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Data Serialization (JSON, YAML), Retrieval-Augmented Generation (RAG), Supabase, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, LangChain, LoRA, XGBoost, NumPy, Pandas, SciPy, OpenCV, NLTK, PEFT, SMOTE, t-SNE, PCA.

Programming Languages

Python, R, Java, C++, C, Go, Rust, TypeScript, Scala, SQL, Shell Scripting, PHP.

Web Development & Frameworks

FastAPI, Flask, Django, React.

Operating Systems & Platforms

Windows, Linux, macOS, Unix.

Projects

Adversarial Attacks on ResNet and DenseNet | Deep Learning Project

Summary

Evaluated multiple adversarial attack methods (FGSM, PGD, MI-FGSM, Patch attacks) on ResNet-34 and tested their transferability to DenseNet-121.

Care Vault | AI-Powered Full Stack Platform

Summary

Developed a full-stack healthcare platform utilizing React, Python, and Supabase, integrated with AI-powered RAG for document-based symptom analysis.

ROBERTa-LoRA News Classification | Deep Learning Project

Summary

Fine-tuned RoBERTa using Low-Rank Adaptation (LoRA) on the AG News dataset for efficient large-scale text classification.

Shark Tank US Data Analysis and Prediction | Machine Learning

Summary

Focused on analyzing Shark Tank data and predicting outcomes using machine learning models like Random Forest and XGBoost.