Anush Gupta
FULL STACK ENGINEER × PRODUCT MANAGER

AnushGupta

builds systems.ships products.

I think in user flows and implement in Spring Boot. Currently at JECRC University — looking for where both skill sets create maximum leverage.

engineer_mode
product_mode
User problem identified
Riskiest assumption: GPU availability
MVP scope locked
Privacy req: local-only
Success metric: zero API cost
Ship. Iterate.
7+Projects|
500+Commits|
500+DSA Problems Solved|
JECRC UniversityB.Tech CSE (AI-ML XEBIA)|
2027Graduating|
7+Projects|
500+Commits|
500+DSA Problems Solved|
JECRC UniversityB.Tech CSE (AI-ML XEBIA)|
2027Graduating|

What I Am

Two mindsets. One builder.

Engineer Mode

When I see a problem, I think:

  • What's the data model?
  • Where are the failure points?
  • What's the O(n) here?
  • Can this be stateless?

Stack: Java / Spring Boot / Next.js / Go / PostgreSQL / Docker / LLMs

Currently learning: system design at scale, distributed systems, LangChain agents

Product Mode

When I see a problem, I think:

  • Who is this actually for?
  • What does success look like in 90 days?
  • What's the riskiest assumption?
  • What's the MVP surface area?

Tools: user story mapping, PRD writing, north star metrics, A/B framing

Currently reading: Inspired (Cagan), shaped thinking, outcome-based roadmaps

01. CAREER

Professional Experience

My journey in software development, competitive programming, and innovation.

Product Intern

Park+
Gurugram, India

Scaled Motor Insurance product from early stage to rapid expansion, driving significant user growth and engagement through data-driven product optimization.

  • Achieved 180% user growth in 8 weeks by scaling Motor Insurance from early stage to rapid expansion
  • Increased DAUs by enhancing UI/UX and driving engagement through WhatsApp-based user journeys
  • Improved conversion funnel (Quotes → Proposals → Purchase), significantly boosting purchase rates
  • Designed a sales dashboard and integrated new product features to enhance scalability and operational efficiency
Product StrategyGrowth HackingWhatsApp APIData AnalyticsSales Dashboards
June 2025 - August 2025
02. WORK
// hint: try typing 'init' in the terminal_

SHIPPED WORK

A selection of projects where I handled the full lifecycle from system design to production deployment. Focusing on performance, privacy, and high-fidelity UX.

001

AI Interview Coach

// interview-ace.config.ts
PRODUCTION
ReactTypeScriptOllama+3
AI Interview Coach

Local-first AI for anxiety-free interview prep.Interview prep is either passive (reading) or expensive (mock interviews). Users need a low-pressure way to practice real-time speech and get instant feedback without cloud latency or cost.

002

AI Resume Tailor

// resume-tailor.config.ts
PRODUCTION
React 18Python FlaskspaCy+3
AI Resume Tailor

Beat the ATS with AI-optimized resumes.I noticed students spending hours manually tweaking resumes for different job descriptions. Instead of generic keyword stuffing, they needed a smart engine that understands semantic context and maps skills directly to JD requirements automatically.

003

MemeForge AI

// memeforge.config.ts
PRODUCTION
Next.js 14OllamaPWA+3
MemeForge AI

Local-first AI meme generation. Snap, Roast, Repeat.I wanted to build a native-feeling app for generating culturally specific, 'unhinged' memes. The challenge was doing this entirely on-device to ensure maximum privacy without relying on expensive, generic cloud APIs.

004

F1 Pit Wall Dashboard

// f1-dashboard.config.ts
PRODUCTION
ElectronVanilla JSCSS3 Animations+2
F1 Pit Wall Dashboard

High-performance Electron telemetry widget with CSS3 animations.To create a cinematic, 'Always-on-Top' race tracking experience, standard web apps fall short. The technical goal was to engineer a native desktop widget that delivers real-time telemetry with zero lag and frameless OS integration.

005

Trip Helper (Indian Roads)

// trip-helper.config.ts
shipped
FlutterDartSpring Boot+3
Trip Helper (Indian Roads)

Road trip planning with accurate toll and fuel estimates.Indian highway travelers struggle with unpredictable toll costs and fuel estimation. Generic maps don't provide a granular expense breakdown for specific car models.

006

Interactive Sand Simulator

// sand-art.config.ts
PRODUCTION
JavaScriptp5.jsHTML5 Canvas+1
Interactive Sand Simulator

Physics-based particle art in your browser.Most browser experiments lack realistic physics. I wanted to create a zen-like experience that correctly simulates gravity, friction, and particle collision.

007

ASCII Video Filter

// ascii-camera.config.ts
PRODUCTION
TypeScriptCanvas APIWebcam API+1
ASCII Video Filter

The world through a developer's eyes.Boring video feeds. I wanted to turn reality into code in real-time.

03. DECISIONS
--read_only --human

Decisions Log

Technical and product decisions — with reasoning. No right answers, just honest tradeoffs.

04. EXPERIMENT

The Sand Simulation

A custom physics engine built from scratch. Simulates cellular automata with gravity, friction, and fluid dynamics. This is a simplified version of the logic used in my **Sand Art Project**. Try interacting with the canvas on the right!

Interactive Painting

Click and drag to spawn particles. Watch them react to gravity and collision.

Optimized Engine

Grid-based cellular automata ensures smooth performance even with thousands of particles.

sand_kernel.bin

Hover to interact

Experimental Physics Engine v1.0

05. TECH
/* runtime_inventory.ts */

Tech Inventory

Filtered by proficiency & application

Languages

C / C++DSA + competitive programming
JavaSpring Boot ecosystem
PythonNLP + Flask backends
GoHigh-concurrency systems
TypeScript / JSFullstack core
DartFlutter mobile

Backend & Systems

Spring BootVerified
FlaskVerified
Gin (Golang)Verified
PostgreSQL / MySQLVerified
JWT / OAuth2Verified
DockerVerified
REST API DesignVerified

Frontend & Mobile

Next.js 14/15Verified
React 18/19Verified
FlutterVerified
Tailwind CSSVerified
Framer MotionVerified
PWAVerified
ElectronVerified

AI / ML Integration

Ollama (Local LLMs)Verified
MediaPipeVerified
spaCy / BERTVerified
Prompt EngineeringVerified
OpenAI APIVerified

Product & Process

Product StrategyVerified
User ResearchVerified
Growth HackingVerified
Funnel OptimizationVerified
Go-to-Market PlanningVerified
Technical PRDsVerified
Marketplace DynamicsVerified
User Journey MappingVerified
System ArchitectureVerified
Primary Tool
Production Experience
Building Projects
In Exploration
06. ABOUT
--read_only --human

The story so far

2026

AI + Product

Building LLM-powered tools, deepening system design at scale, and exploring the AI + Product intersection. Currently shipping this portfolio and hunting for the next high-leverage role.

2025

Product Intern @ Park+

Achieved 180% user growth by scaling Motor Insurance and optimizing conversion funnels.

2024

Hackathon Runner-up

Secured 2nd position among 200+ teams; 2nd prize for startup pitch at XEBIA conclave.

2023

B.Tech CSE (AI-ML)

Started journey at JECRC University.

bash — 80x24
~cat anush.profile.ts
// profile initialization
const sol: Profile = {
  role: "Product Intern" | "Full Stack",
  status: "Shipping Obsessed",
  university: "JECRC (AI-ML XEBIA)",
  year: 2,
  stack: ["Next.js", "Spring Boot", "Growth Hacking"],
  learning: ["LLM Agents", "System Design"],
  openTo: "internships + full-time"
};

// result: optimized for impact.
console.log("Ready to build.");
~

Outside code: I’m a guitarist, video editor, gamer, and F1 fan who loves the blend of high-performance engineering and premium design. I enjoy building products and experiences that I’d genuinely want to use every day.

Certifications

  • Gen AI Academy (Google)
  • Gemini & Imagen (Google)
  • GenAI Apps - Gemini & Streamlit
  • Gemini API in Vertex AI
07. REACH
--ping --t 500ms

Let's build something.

If you're building something hard and need someone who can write the PRD & the API — I'm interested.

[email protected]