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Kartik Pansuriya

Kartik Pansuriya

First-author paper published at IEEE COMPSAC 2026 (Madrid)

About Me

Artificial Intelligence and Software Engineer with a Master’s in Applied Artificial Intelligence from Stevens Institute of Technology. Bachelor’s Gold Medalist in Information Technology with strong expertise in machine learning, AI systems, and data-driven software development.

Experienced in building AI-powered operational platforms, optimization systems, and scalable data applications using Python, cloud technologies, and modern AI frameworks.

First-author, peer-reviewed research accepted at IEEE COMPSAC 2026 →

Publications

★ Featured Peer-Reviewed First Author

Predicting Acceptance and Review Effort in Human and Agent Pull Requests

Kartik Ghanshyambhai Pansuriya, Ehsan Ghorbani, Deepak Singh, Eman Abdullah AlOmar

IEEE COMPSAC 2026 · SETA Symposium (Software Engineering Technologies & Applications) · Full Paper · Madrid, Spain, July 2026

Can a pull request’s fate be predicted the moment it is opened — before reviewer discussion, CI feedback, or the merge decision? Using the AIDev dataset of human- and AI-agent-authored PRs, this work builds a leakage-aware pipeline that relies only on submission-time signals (PR text, metadata, repository context, temporal signals, and lightweight diff statistics), then compares classical models across pooled, human-only, agent-only, and balanced contributor views with SHAP-based feature analysis.

Key result: tree-based models predict PR acceptance with F1 > 0.95 from early signals, with textual clarity and metadata the most influential predictors — while review effort (comment count, time-to-merge) stays much harder to estimate, pointing to early PR models as advisory triage tools rather than automated decision-makers.

View on arXiv Read PDF COMPSAC 2026 Program

arXiv:2607.12057 [cs.SE]

Experience

AI Software Engineer

Adyah Wholesale

May 2025 – Present

  • Designed and developed AI-driven software systems for AI-driven logistics optimization systems, delivery routing, and operational automation.
  • Developed intelligent route optimization systems to improve delivery efficiency and reduce operational costs.
  • Developed scalable backend APIs and full-stack applications using Python, JavaScript, and cloud services for large-scale operational data processing.
  • Developed AI/ML models to analyze market trends, customer behavior, and product demand using large-scale operational data.

Full Stack Developer

FutureX Consulting Services

January 2024 – May 2024

  • Built AI-enabled web and mobile applications using Flutter and JavaScript frameworks, enhancing user engagement and functionality.
  • Designed and deployed data pipelines supporting real-time AI inference using Node.js and SQL, optimizing performance by improving computational efficiency by 15%.

AI/ML Intern

Osis Technologies

May 2023 – August 2023

  • Developed machine learning-driven analytics solutions to support data-informed business decisions.
  • Built interactive dashboards with Tableau and Power BI to visualize complex datasets.

Batch Representative

Auro University

Surat, Gujarat, India | August 2021 – May 2024

Coordinated technical collaboration between faculty and students for academic and AI-focused initiatives.

  • Coordinated technical collaboration between faculty and students
  • Organized hackathons and innovation programs promoting machine learning
  • Led peer mentorship efforts supporting student projects in AI and programming
  • Facilitated cross-team communication for research activities

Systems & Projects

Systems Built at Adyah

Delivery Management System

AI-powered logistics platform for route generation, parcel tracking, and live vehicle monitoring. Features multi-driver optimized routing and driver workload optimization.

Flask • Firebase • Google Maps API

Sales & Marketing System

AI-enhanced CRM and field sales tracking platform. Includes visit scheduling optimization and AI suggestion engine for store performance improvement.

Predictive Analytics • CRM

Live Vehicle Intelligence

Real-time fleet visualization and analytics platform. Provides live map vehicle tracking, route history/trail analysis, and driver behavior insights.

Real-time Tracking • Analytics

Academic Research

AI for SE Published · COMPSAC 2026

PR Acceptance Predictor

Predictive system modeling pull request acceptance and reviewer effort across human- and AI-agent-authored contributions. Uses diff-level feature engineering and leakage-aware modeling with SHAP interpretability.

Read the paper →
BMI

EEG Decoding Pipeline

Low-latency EEG decoding architecture for motor imagery BMIs. Features a real-time classification system with robust signal preprocessing.

Deep Learning

Speech Emotion Recognition

Audio emotion prediction system using YAMNet embeddings and ensemble classifiers.

Education

Master of Science in
Applied Artificial Intelligence

Stevens Institute of Technology

Hoboken, NJ | Graduated May 2026

GPA: 3.759 / 4.0

Focus Areas

Machine Learning Deep Learning SE Analytics Pattern Recognition BCI

Relevant Projects

  • • Pull Request Acceptance Predictor (published, IEEE COMPSAC 2026)
  • • Scalable EEG Decoding Pipeline
  • • Speech Emotion Recognition

Bachelor of Science in
Information Technology

Auro University

Surat, Gujarat, India | May 2024

GPA: 3.65 / 4.00

🏅 Gold Medalist

Core Areas

Software Engineering Data Structures AI Fundamentals Web Systems Databases

"Awarded Highest Academic Distinction for outstanding performance across all semesters."

Technical Skills

Artificial Intelligence & ML

Machine Learning Model Development Deep Learning LLM & SLM Engineering NLP Predictive Analytics Supervised & Unsupervised Learning Classification & Regression Feature Engineering Model Evaluation & Validation Ensemble Methods Neural Networks Explainable AI (SHAP) Imbalanced Learning Techniques Computer Vision Audio & Speech ML Pattern Recognition Time-Series Analysis Brain-Computer Interface ML Experimental ML Design

Frameworks & Libraries

Scikit-learn PyTorch TensorFlow Keras Pandas NumPy Matplotlib Seaborn

Software Engineering

Algorithm Design Python Flask REST API Development Backend Architecture Microservices Architecture Full-stack Web Development Authentication Systems API Integration Modular Code Design Debugging & Testing Version Control (Git) JSON Data Handling Clean Code Practices

Systems & Infrastructure

Cloud AI Deployment SQL/NoSQL Databases Firebase / Firestore Google Cloud Platform (GCP) Real-time Systems Cloud API Integration Scalable Web Applications System Optimization Live Tracking Architectures Route Optimization Systems Data Storage Architecture Deployment Pipelines

Data Engineering & Analytics

Data Engineering Data Cleaning & Preprocessing Data Pipelines ETL Workflows Analytics Dashboards Statistical Modeling Visualization Pipelines Performance Metrics Tracking Business Intelligence Analytics

Applied AI & Product Engineering

AI System Integration AI for Software Engineering Logistics Optimization Systems CRM Intelligence Platforms Delivery Analytics Sales Forecasting Operational Automation Predictive Business Modeling Fleet Intelligence Systems Real-time Monitoring Platforms

Tools & Development Env

Python Ecosystem Antigravity IDE OpenAI Codex GitHub Copilot ChatGPT / LLM Tools Jupyter Notebook / Lab Google Colab VS Code / PyCharm Git & GitHub Postman Docker

Engineering Practices

System Architecture Design Problem Solving Technical Documentation Research Writing Agile Development Scalable System Thinking

Resume

Download the PDF for the full detailed history.

Download Resume

C O N T A C T

I have got just what you need. Lets talk.

+1 (551) 225-2516
pansuriyakartik59@gmail.com
Allentown, PA 18104