Technical Founder & Software Engineer

IshaanNarang

Building full-stack SaaS products, AI systems, and data pipelines.Co-founder & CTO at Surge.events

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01 — About

Shipping software that creates real-world impact

I'm a Computer Science student at Penn State with a passion for building products that solve real problems. As a technical founder, I focus on shipping production-ready software—not just prototypes.

Currently, I'm the Co-founder & CTO at Surge.events, where we're building a B2B SaaS platform that helps tourism departments aggregate and publish local event data. We shipped our MVP in under 4 weeks and onboarded our first paying customer immediately.

My experience spans full-stack development, AI systems, and data pipelines. I've won hackathons at Y Combinator, CalHacks, and MHacks—each project pushing me to learn new technologies and solve complex problems.

When I'm not coding, you'll find me exploring new coffee shops, experimenting with different brewing methods, or enjoying a good espresso. Coffee fuels the code.

3

Hackathon Wins

$5K

YC Prize

100+

ML Club Members

∞

Cups of Coffee

02 — Experience

Building & leading

☕

Co-founder & CTO

Surge.events

State College, PA

Fall 2025 – Present

  • —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.

Technical Lead

Machine Learning Club

Penn State

Spring 2025 – Present

  • —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.
03 — Skills

Technologies I work with

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
04 — Projects

Award-winning work

Projects that have earned recognition at Y Combinator, CalHacks, and MHacks.

Automated Legal & IP Enforcement Agent

Winner – Hack the Stackathon @ Y Combinator

$5,000
  • —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 and generated regulator-ready complaints and cease-and-desist documents.
  • —Placed 3rd at a YC-hosted hackathon at the Y Combinator office.
PythonWeb CrawlingLegal AIAutomation

AgentOverflow

Winner – Best Use of Elastic Agents @ CalHacks 12.0

Winner
  • —Built a platform to capture, validate, and reuse AI problem–solution pairs to stop prompt spirals.
  • —Implemented Node.js backend, Elasticsearch hybrid (vector + keyword) search, and custom MCP server.
  • —Enabled real-time injection of validated fixes into LLM sessions, making AI agents context-aware.
Node.jsElasticsearchMCP ServerVector Search

deCluttered.ai

Winner – Best Fetch.ai Hack @ MHacks 2025

Winner
  • —Engineered Fetch.ai autonomous agents to automate resale workflows—item detection, pricing optimization, and buyer negotiation.
  • —Built RESTful APIs integrating YOLO object detection, resale pricing model, and marketplace listing automation.
  • —Implemented multi-agent coordination for end-to-end resale pipeline using Fetch.ai Agentverse and AgentMail APIs.
  • —Designed scalable Node.js backend and PostgreSQL data layer for secure automation and transaction tracking.
Fetch.aiYOLONode.jsPostgreSQLMulti-Agent
05 — 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 FinanceData Structures and AlgorithmsOperating SystemsComputer Organization and ArchitectureSoftware Design & DevelopmentDiscrete MathematicsLinear AlgebraProbability & StatisticsDeep Learning Specialization (Coursera)
06 — Contact

Let's build something

Whether you have a project in mind, want to collaborate, or just want to chat about tech and startups—I'd love to hear from you.

Email

ishaan.narang@psu.edu

Phone

+1 (814) 826-8818

LinkedIn

linkedin.com/in/ishaannarang22/

GitHub

github.com/ishaannarang22

New York, NY•San Francisco, CA
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☕

Fueled by coffee, driven by curiosity.

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