Pankaj Pandey — Remote Flutter & Full-Stack Engineer | Building Secure, Scalable Mobile Products

Full-stack mobile engineer specializing in Flutter, BLoC/Clean Architecture, and robust backends (Django, Node.js). Passionate about high-performance engineering, data privacy, and shipping production-ready applications that users trust.

Selected engineering work

Product case studies ordered by engineering depth, real-time systems, and production scale.

Each project is written for technical recruiters and startup engineering leaders: problem space, stack clarity, and concrete implementation impact before visual polish.

02Marketplace · Real-time communication

Agro-Tech Hub

Real-time Agro-Ecosystem Platform for Farmers and Experts

Flutter Django Channels Redis WebSockets Agora SDK FFmpeg
  • Architected a real-time communication framework using Django Channels and Redis WebSockets to handle instant messaging and live data synchronization across hundreds of concurrent clients.
  • Integrated Agora SDK for high-quality, low-latency video and audio calling between agro-experts and farmers.
  • Embedded custom FFmpeg modules on-device to compress high-definition farm media uploads dynamically, cutting user bandwidth consumption and server storage overhead.
Agro-Tech Hub marketplace screen
Agro-Tech Hub dashboard screen
Agro-Tech Hub chat screen
Agro-Tech Hub video call screen
Marketplace, chat, KYC, and video-call workflows.
03Production scale · Education technology

Loksewa Sandhi

High-Traffic Educational Platform & Examination Suite

Flutter Node.js Express MongoDB REST APIs Payment Gateway
  • Scaled and shipped a production mobile application resulting in 1,100+ active downloads on the Google Play Store.
  • Designed a modular, offline-first quiz engine that securely syncs student progress via optimized REST APIs.
  • Integrated reliable local payment gateways to handle seamless, secure micro-transactions for premium mock exams.
Loksewa Sandhi course materials onboarding screen
Loksewa Sandhi course materials screen
Loksewa Sandhi test introduction screen
Loksewa Sandhi test result solutions screen
Production learning app with 1,000+ Play Store downloads.
04AI/ML · Semantic Search · Resume Automation

VectorCV

Advanced Resume Tailoring & Semantic Job Matching System

Python RAG Dense Vectors Groq Cloud Semantic Search PDF Parsing
  • Engineered a semantic search (RAG) pipeline using local dense vector embeddings to analyze candidate resumes against job descriptions, calculating precise ATS match scores with multi-tiered borderline validation.
  • Automated extraction of formatting and style metadata (fonts, margins, custom line drawings, alignments, spacings) from original PDF resumes, ensuring dynamically generated optimized resumes perfectly replicate the applicant's unique visual branding.
  • Integrated Groq Cloud LLMs to dynamically generate highly tailored CVs and cover letters, resolving borderline matches through intelligent multi-tiered validation for maximum ATS compatibility.
GitHub Code
VectorCV Home Page
VectorCV Job Description Input
VectorCV Resume Analysis Workflow
VectorCV ATS Score Calculation
Advanced resume and ATS matching workflows. Tap to inspect screenshots.

Additional shipped work

More products that show range across marketplaces, realtime gameplay, and on-device utilities.

J'accuse screen 1
J'accuse screen 2
J'accuse screen 3
J'accuse screen 4

J'accuse — Social Deduction

Real-time multiplayer party game with Firebase room state, private player roles, join codes, voting, and synchronized results across devices.

Flutter Firebase Realtime DB Multiplayer
Rental Best Services screen 1
Rental Best Services screen 2
Rental Best Services screen 3
Rental Best Services screen 4

Rental Best Services

Vehicle rental app shipped to the Play Store with browsing, filtering, comparison flows, booking logic, and a REST-backed admin workflow.

Flutter Django REST API MongoDB
TimeLapse App splash screen
TimeLapse App mode screen
TimeLapse App recording screen
TimeLapse App gallery screen

TimeLapse App

On-device timelapse utility using camera frame capture and FFmpeg stitching to generate compressed videos while reducing storage usage.

Flutter FFmpeg Camera API On-device

Let's Build Something Secure Together.

Open for full-time remote roles at global startups. Flexible with US timezones and night shifts.