Atul Bhardwaj

About Me

CS grad, cloud builder, two apps live in production.

I recently completed my CS master's at Seattle University, where I spent most of my time building on AWS. I have two apps running in production right now, a serverless RAG chatbot and a three-tier platform, both built to solve real problems for real users on campus.

I lead the AWS Cloud Club at SU, where I grew the community from 13 to 90+ members, secured $10K in AWS credits, and co-hosted a 24-hour hackathon with UW after cold-emailing Jeff Barr. I like figuring out the right architecture for a problem, not just the most popular one.

I'm 3x AWS certified and a BeSA Agentic AI graduate (Strands Agents SDK, Bedrock AgentCore, MCP). I'm on STEM OPT through mid-2029.

AWS Certified

3.6+

GPA

Live AWS Apps

90+

Cloud Club Members

Professional Experience

Shipping production AWS applications and leading teams

Cloud Solutions Lead

AWS Cloud Club, Seattle University

Jan 2026 – Present · Seattle, WA

Scaled the club from 13 to 90+ members in two quarters by building partnerships with AWS Solutions Architects, Developer Advocates, and the AWS Skills Center, turning cold outreach into recurring collaboration.
Built a direct relationship with AWS VP Jeff Barr through cold outreach, securing $10K in AWS credits and a co-hosting partnership with UW for a 24-hour, three-track hackathon (Build with Bedrock, Serverless Solutions, Cloud for Good).
Evangelized AWS services (Bedrock Knowledge Bases, Lambda, API Gateway) through cloud architecture workshops for 20+ builders per session, helping participants select scalable, cost-effective solutions for their own workloads.

Data Science Consultant

Statistics Without Borders

Sep 2025 – Apr 2026

Served as technical point of contact across 7 teams (14 contributors, 14+ datasets), distilled data quality issues into clear technical requirements, and presented standards to non-technical leadership that the organization adopted.
Migrated 14 contributors from unversioned email workflows to GitHub, accelerating adoption by authoring onboarding docs that got non-technical members committing in under a week.

Operations Technician

Seattle University

Oct 2024 – Present · Seattle, WA

Gathered stakeholder feedback and cross-referenced it against parking and transit utilization data, identified 7 plans adding cost without serving demand, and translated findings into a consolidation recommendation leadership approved.
Found a manual bottleneck in ID card fulfillment (staff hand-sorting 200+ cards per batch), rewrote the Entrust batch SQL to auto-sort at query time, eliminating the manual step entirely.

Featured Projects

Solving real-world problems with data and code

AWS Cloud · Live Production

SUChatBot: Campus RAG Chatbot

May 2026 · Live

Replaced 53 static SharePoint pages with a serverless chatbot that answers questions for 5 campus departments instantly, no staff needed.

S3 Vectors over OpenSearch: ~$350/month saved, sub-3s responses
Fully serverless: Lambda + API Gateway + CloudFront
Claude Haiku 4.5 for inference; Titan Embeddings V2 for vectors

Bedrock Lambda S3 Vectors API Gateway CloudFront RAG

Live App →

Lost & Found Platform

March 2026 · Live · $0.90/day

Three-tier AWS app connecting 4 campus offices under one lost-and-found system. Chose EC2/RDS over serverless to keep it always-on and snappy.

Custom VPC with public/private subnets across two AZs
Cognito auth locked to @seattleu.edu; IAM least-privilege throughout
CI/CD via GitHub Actions; nginx + Flask + React + PostgreSQL

EC2 RDS VPC Cognito CloudFront IAM GitHub Actions

Live App →

AI / ML

NeatCode: AI Code Refactoring

March 2026

Paste messy code, get it cleaned up by Gemini AI with an explanation for every change, so you actually understand what changed.

Dockerized Flask on Elastic Beanstalk; React on S3 + CloudFront
Input guard rails reject non-code submissions
Built with a team of 3 (Agile), then extended and deployed solo

Flask React Gemini AI Elastic Beanstalk Docker CloudFront

GitHub →

Amazon Lex Banking Chatbot

November 2025

Conversational chatbot for banking transactions with custom intents, slot types, and multi-turn dialogue, all wired to Lambda for live responses.

Lambda integration for dynamic, context-aware responses
Deployed via CloudFormation (infrastructure as code)

Amazon Lex Lambda CloudFormation

Private Repository

Data Engineering & Cloud

YouTube Trending Analytics AWS Data Lake

YouTube Trending Analytics: Data Lake

November 2025

Serverless ETL pipeline that ingests 1,000+ trending videos across 5 regions and makes them queryable in seconds.

Three-tier S3 lake: Raw → Cleansed → Analytics
75% storage reduction · 80% query cost savings via Parquet
Athena SQL + QuickSight dashboards

S3 Glue Athena PySpark Parquet

GitHub →

Real-Time TF-IDF Search Engine

January 2026

Distributed search engine that ranks large-scale text in real time using TF-IDF, built on Spark across an AWS multi-service stack.

Apache Spark on EMR for parallel processing
EC2 · S3 · DynamoDB · Lambda backing the query layer

Apache Spark EMR DynamoDB Python

Private Repository

Data Science & Analytics

Campus Operations: Behavioral Segmentation

September 2025

Clustered campus department behavior patterns to surface where operations could be trimmed without hurting service quality.

5 distinct segments via GMM + K-Means
25% reduction in unnecessary support tickets

Python K-Means GMM Scikit-learn

Private Repository

Technical Skills

Tools and technologies I work with

Architecture

Multi-tier Design Serverless Patterns VPC Networking Cost Optimization High Availability CI/CD Infrastructure as Code Migration

AWS Services

EC2 S3 RDS VPC Lambda CloudFront Cognito DynamoDB Bedrock API Gateway S3 Vectors IAM Glue Athena EMR CloudFormation Elastic Beanstalk

AI & ML

Bedrock Knowledge Bases Bedrock AgentCore Strands Agents SDK RAG Titan Embeddings V2 FAISS MCP Scikit-learn TensorFlow PyTorch

Data & Analytics

PostgreSQL MySQL DynamoDB Apache Spark PySpark ETL Pipelines Data Modeling Power BI Tableau

DevOps & Programming

Python JavaScript SQL Bash Docker Git GitHub Actions nginx Linux

Research Publications

Peer-reviewed contributions to the field

Evaluating ML Algorithms for Heart Disease Prediction

IEEE Xplore 2024 Read Paper →

Comprehensive evaluation of six supervised ML algorithms for heart disease prediction, optimizing precision, recall, and F1-score to minimize false negatives in clinical decision support systems.

Bidirectional LSTM for Toxic Comment Classification

EAI Journal 2024 Read Paper →

Novel Bidirectional LSTM + Convolution approach for identifying and classifying toxic comments online, demonstrating improved NLP performance across benchmark datasets.

About Me

Education

Professional Experience