Ishan Islam

Software Engineering • AI/ML • Data Engineering

Building production-ready software and data systems.

Computer Science graduate and Georgia Tech M.S. Analytics student with hands-on experience in enterprise technology, machine learning, REST APIs, data pipelines, cloud deployment, and full-stack application development.

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New York, NY • ishanislam13@gmail.com

Profile

Professional Summary

I am a Computer Science graduate from Long Island University and a current M.S. Analytics student at Georgia Tech. My work spans software engineering, artificial intelligence, machine learning, analytics, data engineering, and enterprise technology operations. I enjoy building end-to-end systems that combine APIs, databases, automation, machine learning, and user-facing applications.

Work

Experience

Con Edison

Tech Support Analyst • via Cognizant

2026 – Present

  • Support enterprise technology operations by troubleshooting software, hardware, network, authentication, and access issues across end-user environments.
  • Manage incidents and service requests through ITSM workflows, documenting resolutions and escalating complex issues to specialized technical teams.
  • Analyze recurring incidents and operational trends to identify patterns and support improvements to service reliability and resolution processes.
  • Communicate technical findings and resolution status to technical and non-technical stakeholders.

Accenture

AI & Machine Learning Engineer • Break Through Tech Industry Project

Aug 2025 – Dec 2025

  • Developed an end-to-end NLP misinformation detection system using Python, TF-IDF feature engineering, and supervised machine learning.
  • Built reusable preprocessing and model-evaluation pipelines using precision, recall, F1-score, and cross-validation.
  • Exposed trained model inference through a REST API and integrated it with a web interface for real-time classification.
  • Collaborated with a cross-functional team to iterate on model performance and deliver a production-oriented AI application.

Break Through Tech

AI & Machine Learning Fellow

Jun 2025 – 2026

  • Built machine-learning solutions across classification, regression, NLP, and predictive analytics problems using real-world datasets.
  • Developed data preprocessing, feature-engineering, model-training, and evaluation workflows with Python, Pandas, and scikit-learn.
  • Conducted experiments using statistical evaluation and cross-validation to compare model performance and improve generalization.
  • Presented technical findings and model decisions to mentors and industry partners.

Selected Work

Projects

Full-Stack • Data Engineering

NYC Real-Time Transit Analytics Platform

React • TypeScript • FastAPI • PostgreSQL • Docker • GitHub Actions • GTFS-Realtime

  • Engineered and deployed a full-stack platform that ingests real-time NYC subway GTFS feeds and provides live arrivals, service alerts, station mapping, and historical reliability analytics.
  • Built FastAPI REST endpoints and PostgreSQL/SQLAlchemy persistence pipelines for historical train-arrival prediction data.
  • Developed an interactive React dashboard with station search, route filtering, Leaflet maps, and Recharts analytics.
  • Containerized the application with Docker and implemented automated production data collection using GitHub Actions.
GitHub ↗ Live Demo ↗

AI • RAG

AI Document Assistant

Python • OpenAI API • FAISS • RAG • Streamlit

  • Built and deployed a retrieval-augmented generation application for context-aware question answering over uploaded documents.
  • Implemented document chunking, vector embeddings, FAISS similarity search, and retrieval pipelines before LLM generation.
  • Integrated OpenAI APIs with a modular Python backend and interactive Streamlit interface.
View on GitHub ↗

Machine Learning

Wildfire Survival Prediction

Python • scikit-learn • Random Survival Forest • Pandas

  • Developed a machine-learning pipeline to estimate wildfire survival probabilities at 12-, 24-, 48-, and 72-hour horizons.
  • Engineered predictive features from spatiotemporal data and evaluated performance through iterative experimentation.
  • Achieved a Kaggle competition score of 0.90837.

Toolkit

Technical Skills

Languages

Python, SQL, JavaScript, Java, HTML/CSS, PowerShell

Frameworks & APIs

FastAPI, React, REST APIs, SQLAlchemy, scikit-learn, Pandas

AI & Machine Learning

NLP, RAG, LLM APIs, embeddings, FAISS, classification, regression, clustering, feature engineering, model evaluation

Data & Databases

PostgreSQL, MySQL, SQLite, Google BigQuery, ETL pipelines

DevOps & Tools

Git, GitHub, GitHub Actions, Docker, Docker Compose, Render, Streamlit, Linux

Analytics

Tableau, Power BI, Excel, Matplotlib, statistical analysis, EDA

Academic Background

Education

Georgia Institute of Technology

Master of Science, Analytics

2026 – Present

Long Island University

Bachelor of Science, Computer Science

Sep 2022 – Dec 2025

  • GPA: 3.69 / 4.00
  • Cum Laude • Presidential Scholar
  • Vice President, Computer Science Club
  • Vice President, Google Developer Group

Let's Connect

Interested in software, AI, and data opportunities.

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