Atul Bhardwaj
AWS Certified Solutions Architect – Associate AWS Certified Machine Learning Engineer – Associate AWS Certified Cloud Practitioner AWS Certified AI Practitioner
4x AWS Certified

Atul Bhardwaj

Cloud & AI Solutions · AWS

I sit with the people who have the problem, work out what they actually need, then design and build it on AWS. Two of my builds ran in production at Seattle University.

  • Building: led discovery with 5 departments, then shipped their Bedrock assistant
  • Pitching: cold-emailed AWS VP Jeff Barr, won $10K for a 100+ person hackathon
  • Explaining: 1-to-many Bedrock and Serverless sessions for 30+ builders each

Open to Solutions Architect · Pre-sales / SE · Technical Consultant · AI AnalyticsUS work authorized · no sponsorship needed until 2029

Contact me Download resume

About

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

I led 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 4x AWS certified, including Solutions Architect – Associate and Machine Learning Engineer – Associate, and a BeSA Agentic AI graduate (Strands Agents SDK, Bedrock AgentCore, MCP). Next, I want a role where I'm in front of customers and also in the architecture: Solutions Architect, pre-sales / Solutions Engineer, technical consulting or AI analytics. I'm on STEM OPT through mid-2029.

4x
AWS Certified
~$350
Saved Monthly on AWS
2
AWS Apps Shipped
90+
Cloud Club Members

Education

Masters in Computer Science (Data Science Specialization)
Seattle University
GPA 3.6  ·  Graduated Jun 2026  ·  Seattle, WA
Courses: Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Visual Analytics, LLM
Bachelor of Technology in Computer Science Engineering
Maharshi Dayanand University
GPA 3.5  ·  Aug 2020 – May 2024  ·  Delhi, India
Activities: Data Science Club Captain, led 100+ members, organized webinars, guest speaker sessions, and coding competitions

Experience

Cloud Solutions Lead
AWS Student Builder Groups, Seattle University
Jan 2026 – Jun 2026 · Seattle, WA
  • Pitched AWS VP Jeff Barr directly and secured $10K in AWS credits for AWS Hackathon 2026; designed three tracks (Build with Bedrock, Serverless Solutions, Cloud for Good) and ran a prep workshop for each, drawing 100+ participants and 20+ final projects.
  • Grew the club from 13 to 90+ members in 6 months by building technical programming from scratch (6+ events) and recruiting external AWS speakers through LinkedIn outreach.
  • Evangelized AWS in 1-to-many technical sessions on Bedrock and Serverless (30+ builders each), advising attendees on scalable, cost-effective architectures with Lost & Found @ SU as the live demo.
Operations Technician Built the department's Bedrock RAG assistant
Campus Services, Seattle University
Oct 2024 – Jun 2026 · Seattle, WA
  • Led discovery with 5 campus departments on why the same questions kept reaching staff, then translated their feedback into business and technical requirements for a self-service RAG assistant that took 20+ routine questions a day off staff.
  • Architected that assistant fully serverless on Amazon Bedrock (Lambda, API Gateway, CloudFront, Titan Embeddings V2), migrating 53 SharePoint pages into a knowledge base; chose S3 Vectors over OpenSearch to save ~$350/month.
  • Worked with 50+ customers a week as the official point of contact for technical issues: diagnosed problems on-site, owned each Jira ticket through resolution, coordinated fixes across campus teams, and trained new hires.
  • Analyzed 100K+ rows of parking and transit data alongside stakeholder feedback in Python and Tableau, identifying 7 underused plans (4 parking, 3 transit) that leadership approved retiring.
  • Found a manual bottleneck in ID card fulfillment (staff hand-sorting 200+ cards per batch) and rewrote the Entrust batch SQL to auto-sort at query time, eliminating the manual step entirely.
Data Solutions Lead
Statistics Without Borders (Volunteer)
Sep 2025 – Apr 2026 · Remote
  • Technical lead across 7 teams (14 contributors, 14+ datasets) for an external client focused on Asian women in sport in Europe; ran weekly syncs and turned recurring data quality issues into shared standards that non-technical leadership adopted.
  • Moved 14 contributors from email file exchanges to GitHub (120+ commits, 7 repos) and wrote onboarding docs that got non-technical members committing within a week.

Projects

Production systems

SUChatBot: Campus RAG Chatbot

May 2026

Replaced 53 static SharePoint pages with a serverless chatbot that answered 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
GitHub →

Lost & Found Platform

March 2026 · Ran at ~$0.90/day

Three-tier AWS app connecting 4 campus offices under one lost-and-found system. Evaluated Lambda + DynamoDB against EC2 + RDS and chose PostgreSQL on RDS for complex relational queries.

  • Custom VPC with public/private subnets across two AZs, following Well-Architected best practices
  • 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
GitHub →
More projects

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

AWS Service Advisor Agent

Building now · In progress

Multi-agent proof-of-concept on Bedrock: an orchestrator agent reasons through a user's requirements, routes to specialist tools including a cost analyzer, and returns architecture recommendations with the trade-offs spelled out.

  • Runs on Bedrock AgentCore's managed harness with a custom MCP pricing server bridged through Gateway
  • Amazon Nova Micro over larger models: 90%+ lower cost per query
Bedrock AgentCore Strands Agents SDK MCP Amazon Nova Python
Work in progress

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

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

Skills

Architecture
Well-Architected Framework Multi-tier Design Serverless Patterns Cost Optimization High Availability CI/CD Infrastructure as Code Migration
Networking & Security
VPC Design Public/Private Subnets Security Groups Least-Privilege IAM
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 Amazon Nova 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 REST APIs SQL Bash Docker Git GitHub Actions nginx Linux

Publications & Community

Research

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.

Community & Speaking

AWS in 60 Seconds

LinkedIn Series 8 episodes Watch on LinkedIn →

One AWS service explained per 60-second clip, written and shot solo. 8K+ views and 180+ likes across the series.

Campus to Cloud

LinkedIn Write-ups Build in public

Build-in-public posts on designing and deploying the Bedrock RAG assistant and Lost & Found @ SU, including the trade-offs behind each architecture call.

Speaking

Talks & Panels 2026

Presented the RAG assistant at AWS Skills Center AI Exploration Day (160 attendees) and AWS Hackathon 2026 · WTIA Tech@Night panelist (Sep 2026) · AWS Skill Builders Community Webinar.

2nd place, AWS Agentic AI GameDay

Competition AWS Summer in SLU

A hands-on AWS GameDay focused on agentic AI, held in Seattle's South Lake Union.

Currently learning

In Progress

Udacity Future AWS Agent Engineer Nanodegree, and my second BeSA program, Agentic AI: POC to Production on AWS.

Certifications

View all badges on Credly ↗
Amazon Web Services
↗ AWS Solutions Architect Associate

Solutions Architect – Associate

Amazon Web Services SAA-C03 · Feb 2026
↗ AWS Machine Learning Engineer Associate

Machine Learning Engineer – Associate

Amazon Web Services MLA-C02 · Oct 2026
↗ AWS Cloud Practitioner

Certified Cloud Practitioner

Amazon Web Services CLF-C02 · Feb 2026
↗ AWS AI Practitioner

AI Practitioner

Amazon Web Services AIF-C01 · Feb 2026
Agentic AI
↗ Foundations of AI Agents

Foundations of AI Agents

↗ Building with Agentic AI

Building with Agentic AI

↗ Designing with Strands Agents

Designing with Strands Agents

↗ Building at Scale with Bedrock AgentCore

Building at Scale with Bedrock AgentCore

↗ Model Context Protocol in Practice

Model Context Protocol in Practice

↗ Supercharging Development with Kiro

Supercharging Development with Kiro

Contact

I'm looking for a full-time role in solutions architecture, pre-sales or technical consulting. Email me or use the form.

Email mail@atulbhardwaj.com
Location Seattle, WA · Open to relocate
LinkedIn linkedin.com/in/atul1000
GitHub github.com/4uatul