Portfolio / 2026

Arya
Kadarkar

Data / AI / Systems

I build software, AI, and data systems that turn complex problems into useful products and decisions.

M.S. Information Systems and Artificial Intelligence candidate with a computer science foundation and experience across applied AI, product engineering, analytics, and data systems.

01

Selected Work

Systems built to support real decisions.

Deployed products, applied AI, machine learning, and data systems presented through focused case studies.

01

2026-06

Production Data ProductCompleted / Actively iterating

VenueMatch - Artist-Venue Recommendation Engine

Explainable booking intelligence for matching artists, venues, and local demand.

Project Highlight

Deployed bidirectional booking intelligence across 4,002 artists, 250 venues, and 9,327 artist-event-venue relationships in 15 markets.

Core Stack

PythonFastAPISQLAlchemyTypeScriptNext.js

Focus

Explainable Recommendations / Data Engineering / Booking Intelligence

02

2026-05

Machine LearningIn Progress / Personal

Autonomous Racing Line Optimizer

Physics-based simulation and imitation learning for robust racing-line control.

Project Highlight

Physics-based simulator and imitation-learning pipeline with behavior cloning, DAgger-style correction data, and zero-shot transfer testing.

Core Stack

PythonPyTorchStable-Baselines3SimulationBehavior Cloning

Focus

Imitation Learning / DAgger / Robustness Testing

03

2026-01

Applied AIIn Progress / Personal

LLM Financial Research Assistant

Source-grounded equity research with explicit validation and deterministic fallbacks.

Project Highlight

Structured equity-research workflow with source-quality checks, hallucination analysis, unsupported-claim detection, and deterministic fallback paths.

Core Stack

PythonOpenAI APIFinancial DataPrompt EvaluationValidation Pipelines

Focus

LLM Evaluation / Hallucination Analysis / Source Grounding

04

2026-05

Applied AnalyticsIn Progress / Capstone

Residential Real Estate AI Prediction System

AI-powered residential real estate prediction system for sale price and sale timing analysis.

Project Highlight

Processed and engineered 200+ predictive features, evaluated observed outcomes, and translated recurring model failures into pricing insights.

Core Stack

PythonPandasScikit-learnFeature EngineeringSystem Design

Focus

Predictive Modeling / Real Estate Analytics / Sale Timing Analysis

02

Experience

Product engineering, research, and business execution.

Professional experience across mobile product development, market intelligence, sustainability technology, and research automation.

01

June 2026 - Present

Hybrid

Founding Software Engineer

Knook by Mgneto

Owns core product engineering for a privacy-sensitive iOS social app spanning mobile architecture, authentication, real-time data, and interaction state design.

02

March 2025 - July 2025

Pune, India

Market Research Intern

Fortune Business Insights

Converted ICT and semiconductor market research into client-ready reporting, consulting support, and executive-level business context.

03

August 2024 - December 2024

State College, PA

Research Assistant

Pennsylvania State University / Independent Study with Prof. Mark Gough

Automated a labor-intensive research workflow by building multi-source pipelines for legal-professional data collection, validation, and documentation.

04

May 2024 - December 2024

Hybrid

Business Development Intern

EcoStart Ventures

Connected sustainability research with supplier matching, recommendation-system data, and product quality feedback for an early-stage platform.

03

Coursework

Technical foundation. Business specialization.

Computer science at Pennsylvania State University, extended through graduate study in information systems and artificial intelligence at the University of Maryland.

Undergraduate Foundation

Pennsylvania State University
B.S. Computer Science

Algorithms, databases, operating systems, theory, probability, statistics, and computer architecture.

Computer Science FoundationsData, AI & AnalyticsSystems & ArchitectureMathematics & Quantitative FoundationsBusiness, Finance & Management

Graduate Specialization

University of Maryland
M.S. Information Systems and Artificial Intelligence

Applied AI, analytics, cloud systems, digital transformation, financial systems, and process analysis.

Data, AI & AnalyticsData Systems & CloudBusiness Technology StrategyProcess, Projects & ExecutionFinance & Visualization

04

Active Workbench

Current simulations and active builds.

A concise view of professional simulations and independent technical work currently underway.

Primary ActiveForage Virtual Job Simulation

British Airways Data Science Job Simulation

Task One — Modeling lounge eligibility at Heathrow Terminal 3

ActiveTask 1 of 2

Platform

Forage

Next Output

Reusable lounge eligibility lookup table plus written justification.

Open Workbench

05

Contact

Let’s build something useful.

Open to software engineering, applied AI, machine learning, data systems, and product-focused opportunities.

For opportunities, project discussions, or portfolio feedback, reach me directly by email.

Maryland, United States / Open to opportunities

Contact Arya