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Hey, I'm

Parth Mistry

Product-minded software engineer building backend-heavy systems across AI, automation, security and risk.

I work across the full flow: data models, APIs, queues, workers, scoring, failure handling and deployment.

CSE @ PDEU · Gujarat, India · Open to software engineering internships

ABOUT

parth.js
const parth = {
    role: "Product-minded software engineer",
    base: "PDEU, Gandhinagar",
    cgpa: "8.9/10",

    building: [
        "backend-heavy full-stack systems",
        "AI + automation products",
        "security and risk tools"
    ],

    launched: [
        "Pramaan // land options + risk scoring",
        "Inference // AI hiring intelligence",
        "VulnCascade // dependency risk scanner"
    ],

    strongestSignal: "I build complete products, not demo screens.",

    currentFocus: [
        "DSA",
        "system design",
        "backend depth",
        "security basics",
        "GTM infrastructure"
    ],

    nextMove: "Sem 5: sharper engineering + proof-first execution"
};

MILESTONES Hover to explore ↓

01// Mar 2024

12th Cleared

Finished school and entered the gap before college. The focus started moving from marks to skills, Computer Science, and building useful things.

02// Apr–Jun 2024

Pre-College Reset

Used the break to reset before PDEU. Curiosity moved toward software, problem solving, and the kind of technical work that can turn into real opportunity.

03// 22 Jul 2024

Sem 1: CS Foundation

Started Computer Science at PDEU. Built the base: programming logic, discipline, problem solving, and the first layer of engineering thinking.

04// 6 Jan 2025

Sem 2: Web Layer

Moved from basic programming to the web. Learned how pages, layouts, JavaScript, components, and user-facing software fit together.

05// May–Jul 2025

CSSI + First Break

Completed CSSI during the first-year break. Got exposure beyond code: documentation, communication, observation, and how people interact with systems.

06// 21 Jul 2025

Sem 3: Backend Layer

Started thinking beyond screens. Learned APIs, databases, auth, SQL and NoSQL flows, server-side logic, and how full-stack apps work behind the UI.

07// Late 2025

Systems Mode

Connected backend ideas with real engineering patterns: Docker, queues, workers, migrations, testing, Git workflows, CI/CD, and system design basics.

08// Jan–Apr 2026

Pramaan Launched

Built the flagship project: a land options and risk platform with FastAPI, Next.js, PostgreSQL, Redis, Celery, SQLAlchemy, Alembic, Docker, and ML risk scoring.

09// May–Jun 2026

Inference Launched

Built an AI hiring system for bulk resume screening. Focused on async parsing, candidate scoring, RBAC, MongoDB, AWS S3/SQS, tests, Docker, and CI/CD.

10// Jun–Jul 2026

VulnCascade Launched

Built a vulnerability scanner that maps dependency risk. Worked with OSV API, PostgreSQL, D3.js graphs, risk scoring, scan history, TypeScript, and Vitest.

11// Jul 2026

Proof + GTM Mode

Shifted into proof-first public work: portfolio, GitHub, writeups, LinkedIn, and GTM infrastructure practice across domains, DNS, inboxes, Clay, Smartlead, n8n, and CRM routing.

12

Sem 5 Loading ...

Moving into Sem 5 with sharper focus: DSA, backend depth, system design, security basics, AI automation, and 2 hours a day for the GTM infrastructure earning track.

SKILLS Hover to explore ↓

CODE

Python JavaScript SQL

CLIENT

React.js TypeScript Next.js HTML CSS

SERVER

Node.js Express.js FastAPI Firebase SQLAlchemy Celery NextAuth.js Alembic

DATA

PostgreSQL MongoDB Redis

DEPLOY

AWS Docker

TOOLING

Git pandas NumPy scikit-learn Matplotlib

PROCESS

Agile Scrum CI/CD TDD

SYSTEMS

System Design

FEATURED PROJECTS

Pramaan
A land-risk and simulated land-options platform for fragmented land records
Why it matters:
  • 66% of India’s civil cases involve land/property disputes
  • Land disputes can take ~20 years to resolve
  • 95.09% of Records of Rights are computerized
  • Only 49.10% of villages have geo-referenced cadastral maps
Core features:
  • Title-chain signal mapping
  • Record-gap detection
  • Encumbrance and dispute tracking
  • ML-assisted parcel risk scoring
  • GIS-based parcel exploration
  • Simulated options and settlement flow
Next.js React.js TypeScript Tailwind CSS NextAuth.js Python FastAPI SQLAlchemy Alembic PostgreSQL Redis Docker Celery pandas scikit-learn XGBoost
PLATFORM UI SNAPSHOTS

ACADEMIC PATH

Bachelor's Degree in Computer Science

Pandit Deendayal Energy University (PDEU)

2024 - 2028

Gujarat, India

INTERESTS Hover for lore ↓

Badminton
Touch Typing - 80+ WPM
Drawing
Chess

LET'S TALK!

Always open to interesting conversations