Ishaan Narang

CS Student & Technical Founder

Building full-stack SaaS products, AI systems, and data pipelines.
Penn State '27

3
Hackathon Wins
$5K
Prize Money
100+
Club Members

About Me

I'm a Computer Science student and technical founder with experience building full-stack SaaS products, AI systems, and data pipelines. My focus is on shipping production software and creating real-world impact.

Currently serving as Co-founder & CTO at Surge.events, a B2B SaaS platform for tourism departments. I'm also the Technical Lead for Penn State's Machine Learning Club, where I lead AI development and educational initiatives.

I've won hackathons at Y Combinator, CalHacks, and MHacks — building everything from legal enforcement AI agents to autonomous resale platforms.

Quick Facts

Based in
New York & San Francisco
Education
Penn State '27
Focus
SaaS, AI, Data Systems

Experience

Building products and leading teams at the intersection of technology and impact.

Co-founder & CTO

Surge.events

Fall 2025 – PresentState College, PA
  • Architected and built a multi-tenant B2B SaaS platform enabling tourism departments to aggregate, analyze, and publish local event data.
  • Shipped MVP in under 4 weeks using Next.js, Supabase, and n8n; onboarded first paying municipal customer immediately post-launch.
  • Designed scalable event ingestion pipelines with Elasticsearch-backed semantic search and real-time user interaction tracking.
  • Led product strategy, customer onboarding, and API integrations with municipal and third-party data partners.
Next.jsSupabasen8nElasticsearch

Technical Lead

Machine Learning Club

Spring 2025 – PresentPenn State
  • Led the development of an AI chatbot that offers comprehensive information about Penn State's resources, enhancing accessibility and support for students.
  • Organized and led AI literacy seminars for first-year students, focusing on practical applications of artificial intelligence.
  • Presented a talk on "Advanced Transformer Architectures and Their Applications," drawing in an audience of over 50 students.
  • Increased club membership to over 100 by outreach and engagement strategies, boosting the club's visibility and influence.
AI/MLPythonNLP

Technical Skills

A full-stack toolkit for building production systems from end to end.

Programming

PythonJavaScriptCJava

Web & Backend

Next.jsNode.jsREST APIsSupabasePostgreSQL

AI & Data

PyTorchElasticsearchPineconeMongoDBVector SearchSemantic Search

Cloud & DevOps

AWS (EC2, S3, Lambda)DockerLinuxGit

Systems & Tooling

Workflow Automation (n8n)MCP ServersAPI IntegrationsPrompt Engineering

Projects

Award-winning hackathon projects and production systems.

Automated Legal & IP Enforcement Agent

3rd Place • $5,000 Prize

Winner – Hack the Stackathon @ Y Combinator

Built an automated enforcement system to detect privacy, procedural, and IP rights violations across company legal surfaces. Implemented continuous web crawling and change detection to identify missing disclosures and non-compliant workflows.

  • Mapped findings to specific statutory and IP rights
  • Generated regulator-ready complaints and cease-and-desist documents
  • Awarded $5,000 prize at YC-hosted hackathon
PythonWeb CrawlingNLPLegal Tech

AgentOverflow

Best Use of Elastic Agents

Winner – Best Use of Elastic Agents @ CalHacks 12.0

Built a platform to capture, validate, and reuse AI problem–solution pairs to stop prompt spirals. A Stack Overflow for the AI era that enables real-time injection of validated fixes into LLM sessions.

  • Implemented Elasticsearch hybrid (vector + keyword) search
  • Built custom MCP server for context-aware AI agents
  • Node.js backend with real-time LLM session integration
Node.jsElasticsearchMCP ServerVector Search

deCluttered.ai

Best Fetch.ai Hack

Winner – Best Fetch.ai Hack @ MHacks 2025

Engineered Fetch.ai autonomous agents to automate resale workflows—item detection, pricing optimization, and buyer negotiation. A complete end-to-end resale pipeline using multi-agent coordination.

  • Integrated YOLO object detection for item identification
  • Built resale pricing model and marketplace listing automation
  • Multi-agent coordination using Fetch.ai Agentverse
Fetch.aiYOLONode.jsPostgreSQL

Education

Pennsylvania State University

University Park, PA

B.S. in Computer Science and Math

College of Engineering

Minor in Entrepreneurship

Expected May 2027

Relevant Coursework

Mathematics of Finance
Data Structures and Algorithms
Operating Systems
Computer Organization and Architecture
Software Design & Development
Discrete Mathematics
Linear Algebra
Probability & Statistics
Deep Learning Specialization (Coursera)

Get in Touch

Interested in collaborating or have a question? I'd love to hear from you.

Currently based in

New York, NY
San Francisco, CA