in Skills↗
The human behind the application BS Data Science with CS – University of Illinois ’26 United States

Bhavisha Ahuja

I build AI products end to end, from the PRD to the deployed app.

Focus AI/ML Engineering AI Product Consulting & Tech Analyst

Bhavisha Ahuja

I build AI products end to end, from the PRD to the deployed app.

Focus AI/ML Engineering AI Product Consulting & Tech Analyst
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(02) About & Experience Timeline

About me

I build and ship AI products end to end, backed by a real data science and statistics core, and the product instincts to decide what’s worth building.

Chicago-based, with a BS in Data Science (CS concentration) from UIC. Heading toward AI/ML engineering, AI product, and consulting / tech analyst work.

Now
Independent

PrepPilot and CreatorOS are live. Open to AI/ML engineering, AI product and consulting / tech analyst roles.

Aug 2026 BS Data Science, CS concentration
University of Illinois Chicago

Statistics, machine learning and computing. Member of WiCS, SWE and WISE.

Apr – Aug 2026 Marketing Assistant
UIC Recreation and Wellbeing

Reels, the content calendar, performance reporting and campaigns.

May 2024 – Aug 2025 Student Aide, New Student Advising
University of Illinois Chicago · Seasonal · On-site
  • Guided 1,000+ incoming students through academic planning, registration and onboarding, turning a complex system into simple walkthroughs.
  • Coordinated logistics for university-wide orientation across two summers, managing competing priorities under deadline.
  • Acted as liaison between students, advisors and admin teams to resolve issues and keep onboarding smooth.
Summer 2023 Product & Data Analytics Intern
Ahuja Synfab

Dashboards and analysis for a 100+ crore textile manufacturer: requirements gathering and recommendations to leadership.

Summer 2023 Web Development Intern
KS Softech
(03) Latest Projects Case studies

Latest Projects(04)

PrepPilot screenshot
PrepPilot screenshot
Live

PrepPilot

01

An agentic AI app that researches anyone you’re about to meet and returns a networking briefing in about 20 seconds.

90s → 20s Runtime, after parallelizing six live research paths
Key decisions
  • Identity resolution, so two people with the same name never get blended
  • Forced tool use for reliable structured output
  • Multi-user auth with row-level security, serverless on AWS Lambda
Agentic AITool useAWS Lambda
Live app ↗GitHub ↗
Live

CreatorOS

02

An AI content planner for Instagram creators — a RAG pipeline (pgvector + Claude), Google Calendar integration and an eval suite.

1K → 5.6K+ My own Instagram in three months — the problem I built this for
The artifact trail
  • PRD, user research and competitive analysis
  • A decision log for every trade-off
  • Growth run as a product loop: hypothesis, test, iterate, scale
RAGpgvectorProduct
Live app ↗Artifacts ↗GitHub ↗
CartLens data architecture: Kaggle data sources (9 relational CSVs and product images), ETL in Python and pandas, a Google BigQuery warehouse of 9 cleaned tables and image features, SQL views for RFM segments and metrics, and 5 pages of Power BI and Tableau dashboards.
Analytics

CartLens

03

End-to-end analytics on ~96K e-commerce customers: Python ETL, BigQuery, GCS, SQL views, Power BI and Tableau.

97% Of customers never reorder
Findings
  • Champions are 1.4% of the base but spend 2×
  • Late deliveries cost about two review stars
  • Size-weighted retention is 0.5% — not the flattering 5%
  • A computer-vision layer on product images, read as directional
BigQuerySQLPower BI
GitHub ↗
DeCode screenshot
DeCode screenshot
Hackathon prototype

DeCode

04

Built in 26 hours at the AEC Tech Hackathon at Gensler Chicago: a seven-agent Claude pipeline that reverse-engineers ancient megaprojects into modern build playbooks.

7 agents Plus a critic step, in a 26-hour build
How it works
  • Deterministic engineering tools — the LLM reasons, the code calculates
  • About 80% of the build on a 5-person team
Multi-agentClaudeHackathon
GitHub ↗

More projects

Coursework
CS 418
Urban poverty predictionAcross 4,406 census tracts
CS 412
Cell type classifier99%+ accuracy on imbalanced RNA-seq data
STAT 481
Cereal ratings regressionR² ≈ 0.92
CS 411
Pacman RL & Ghostbusters inferenceReinforcement learning and probabilistic inference
IDS 312
CRM implementation planSystems and process design
CS 480
Database design projectSchema design and SQL
(04) Certifications Cloud & AI
AWS Certified Cloud Practitioner
Amazon Web Services Earned
Claude Certified Developer: Foundations
Anthropic In progress
Azure AI Fundamentals (AI-900)
Microsoft In progress
(05) Off the clock Chicago, IRL

Off the clock

When I’m not shipping something, I’m probably at the gym, hunting down Chicago’s next great coffee shop, or at a tech meetup asking strangers what they’re building.

01 Lifting

Pilates, weight training, Lagree. Anything fun, honestly.

02 Coffee nerd

I love the strawberry oat draft latte from La Colombe.

03 Out in the community

20+ Chicago tech events since July — from AWS GameDays to Claude and OpenAI community nights. My best ideas came out of conversations with people I’d just met.

Upcoming · Oct 27
Speaking Rising Stars talk Agent Loop meetup
Bhavisha working on a laptop beside an architectural city model at the AEC Tech Hackathon, Gensler Chicago
Hackathon
Built DeCode AEC Tech Hackathon @ Gensler Chicago
Bhavisha in front of the Claude Community Chicago backdrop at Build Day
Volunteer
Helped run it Claude Community Chicago Build Day Claude Community Chicago

The events wall

Jul — Sep 2026 · Selected
Sep 24No. 01
OpenAI Forum ChicagoOpenAI
Sep 23No. 02
Claude for FinanceClaude Community Chicago
Sep 22No. 03
“Your Agent Hasn’t Faced Adversity Yet!”with Kevin Solorio
Sep 16No. 04
AWS GameDay: TerraformAWS Chicago User Group
Sep 15No. 05
Automation, MCP & vibe codingDigital Delivery Chicago
Sep 03No. 06
Chicago AI Builders & OperatorsMeetup
Aug 27No. 07
Chicago Tech Mixer 2026Mixer
Aug 18No. 08
--dangerously-skip-permissionsDigital Delivery Chicago
Aug 12No. 09
ChicagoRuby@ workforce.com
Jul 28No. 10
Total Recall Is Overrated: What Agents Should Learn from How We Forgetwith Kevin Solorio
Jul 23No. 11
Stripe Meetup ChicagoStripe
Jul 22No. 12
Elastic x HyperFlexChicago Tech Week
Jul 16No. 13
LeadDev Chicago@ Thoughtworks
(06) Contact Open to AI/ML, product & consulting roles

Let’s talk.

Pick a time for a 30-minute chat about AI roles, products or projects.

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