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Parth Mistry

From Gujarat, India, I’m a Computer Science student at PDEU building backend-heavy full-stack products across AI, automation, and security. My work includes Pramaan, Inference, and VulnCascade: complete systems with auth, databases, queues, background jobs, scoring logic, tests, and deployed flows. Now I’m sharpening DSA, system design, backend depth, and proof-first automation work for Sem 5.

LET'S TALK! Resume

still learning :)

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.

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 ↓

Languages

Python JavaScript SQL

Frontend

React.js TypeScript Next.js HTML CSS

Backend

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

Databases

PostgreSQL MongoDB Redis

Cloud & DevOps

AWS Docker

Tools & More

Git pandas NumPy scikit-learn Matplotlib

                        
                        Methodologies
                    
                         Agile
                         Scrum
                         CI/CD
                         TDD

                        
                        Architecture
                    
                         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

01 02 03 04 05 06 07 08

Check it out Launch Live

Inference

An AI hiring-intelligence platform for bulk resume screening

Why it matters:

Recruiters often handle large batches of resume PDFs
Manual screening is slow and repetitive
Heavy parsing + scoring can block the main API
Teams need ranked, reviewable candidates faster

Core flow:

Recruiter creates a job
Resume PDFs upload through S3 presigned URLs
SQS dispatches each resume to background workers
Workers parse resumes and run AI scoring
Firebase pushes live progress updates
Dashboard shows ranked candidates for review

Node.js Express.js React.js TypeScript Vite MongoDB Mongoose AWS S3 AWS SQS Docker OpenAI API pdf-parse Tailwind CSS Framer Motion React Query Zustand Firebase Zod Jest GitHub Actions

PLATFORM UI SNAPSHOTS