OPEN TO SOFTWARE / AI-ML ROLES

Sunil Kakde

AI & Full-Stack Engineer — Data Science undergraduate

I work across the full pipeline — from raw data to a deployed product. Recent work spans a real-time face-recognition system, a fraud-detection engine, and production AI platforms built with Python, React and Node.js.

0 % FACE-RECOGNITION ACCURACY
0 % FRAUD-DETECTION ACCURACY
1st PRIZE, TECHNOYASH-25
Sunil Kakde
S. KAKDE PUNE, INDIA
ABOUT

Profile

I'm a Computer Science undergraduate (Data Science) who works comfortably at both ends of a product — the model that finds the signal, and the interface that ships it. I've built systems that watch a camera feed and recognise a face in real time, and sift 284,807 transactions for the 492 that are fraudulent.

I recently completed a Data & AI Intelligence internship at Graphura, and I'm currently co-building RGTvertex, an AI workforce platform, across frontend, backend and database design.

Full resume ↗
IN

Ingest

Camera feeds, transaction logs, resumes & job listings.

PR

Process

Cleaning, feature engineering, SMOTE / PCA, NLP parsing.

ML

Model

Random Forest, XGBoost, FaceNet embeddings, ensemble methods.

SV

Serve

Flask / FastAPI APIs, React dashboards, Power BI reports.

CAREER

Experience

2026 — Present

Contributor · RGTvertex — AI Workforce Platform

Co-building an AI-automation platform: React/Tailwind frontend, Node.js backend, a Supabase-integrated careers & job-application system, and role-based auth.

Mar 2026 — Jun 2026

Data & AI Intelligence Intern · Graphura India Pvt. Ltd.

Built Python tools and AI pipelines for a creative-tech product; automated data workflows and integrated ML models into production systems.

Jul 2022 — Aug 2022

Full Stack Web Development Intern · Tablabs Tech

Built a full-stack e-commerce app with React & Node.js; optimized MySQL queries, improving response time by 25%.

PORTFOLIO

Projects

TIER 01

Production Systems

Live platforms I currently build and ship.
PLATFORM AI PLATFORM

RGTvertex — AI Workforce Platform

AI-powered platform automating business operations through intelligent agents. Built the careers portal, authentication, and core product architecture.

React · Node.js · Tailwind · Supabase
View on GitHub ↗
TRUST & SAFETY AI / NLP

Graphura — Job Scam Detection

AI trust-scoring engine that flags fraudulent job & internship listings, with a Claude-powered chatbot that explains each verdict in plain language.

Python · FastAPI · Supabase · NLP
View on GitHub ↗
TIER 02

Applied Machine Learning

Independently engineered ML systems, end to end.
COMPUTER VISION 1ST PRIZE · TECHNOYASH-25

Face Recognition Attendance System

Real-time recognition at 95% accuracy using MTCNN + FaceNet. Full pipeline from camera feed to database-backed attendance, cutting manual tracking by 80%. Won 1st Prize at TECHNOYASH-25, my college's project competition.

MTCNN · FaceNet · OpenCV · SQLite
View on GitHub ↗
FRAUD DETECTION MACHINE LEARNING

CardSec — Credit Card Fraud Detection

93.58% accuracy on a highly imbalanced dataset (492 fraud / 284,807 transactions) using Random Forest, PCA and SMOTE — 15% fewer false positives.

Scikit-learn · Pandas · PCA · SMOTE
View on GitHub ↗
TIER 03

Data Analytics & Applied Tools

BI dashboards and Flask tools built on real data pipelines.
BI / ANALYTICS POWER BI

Fraud & E-Commerce BI Dashboards

Normalized MySQL schemas + Power BI/DAX dashboards across 1,300+ synthetic transactions; surfaced a 15% margin-erosion pattern on discounted products.

Power BI · MySQL · DAX · Python
View on GitHub ↗
FLASK / NLP APPLIED ML

AI Portfolio Readiness Scorer

Flask app scoring intern job-readiness (88% test accuracy) by parsing résumés (PyMuPDF) and analyzing GitHub activity via the REST API.

Flask · Scikit-learn · GitHub API
View on GitHub ↗
FULL STACK HACKATHON

Samudrasarthi — Coastal Tourism App

Smart India Hackathon project: mobile UI with a real-time backend, built for scalable data handling across coastal tourism data.

Java · Firebase · REST APIs
View on GitHub ↗
TIER 04

Academic & Practice Projects

Smaller web apps built to practice backend, auth and database fundamentals.
BACKEND REAL-TIME

Scalable Chat System

A real-time chat backend built to practice WebSockets and authenticated APIs — messages broadcast live over WebSocket connections, with JWT-based login and PostgreSQL for storing users and message history.

FastAPI · WebSockets · PostgreSQL · JWT
View on GitHub ↗
WEB APP PHP / MYSQL

Library Management System

A web app for managing a college library — login/signup, a dashboard for staff, and a browsable catalog of books, magazines and newspapers backed by MySQL.

PHP · MySQL · Bootstrap
View on GitHub ↗
UI PROTOTYPE HTML / CSS

College Library — UI Prototype

An earlier static front-end for the same library-catalog idea, before I rebuilt it with a real PHP/MySQL backend as the Library Management System above.

HTML · CSS
View on GitHub ↗
WEB APP JAVA

Job Portal

A Java-based job portal exploring core OOP design — employers can post openings and candidates can browse and apply, modelled as a simple multi-user system.

Java · OOP
View on GitHub ↗
TIER 05

Mobile Apps (Flutter)

Early Flutter builds while learning cross-platform mobile development.
MOBILE FLUTTER

Calculator

A Flutter calculator app covering the four basic operations, with a history log of past calculations and error handling for cases like division by zero.

Flutter · Dart
View on GitHub ↗
MOBILE FLUTTER

Login App

A Flutter starter project for a login/signup screen — used to learn Flutter's widget tree, navigation, and basic form handling.

Flutter · Dart
View on GitHub ↗
EXTRA

Open Source Contribution

Contributing to established projects outside my own repos.
OPEN SOURCE PYTHON

DIPY — Diffusion Imaging in Python

Contributed to DIPY, an established open-source Python library for medical/diffusion MRI image analysis used by researchers worldwide — my first experience working in a large, existing scientific codebase rather than a project of my own.

Python · Open Source
View my fork ↗
STACK

Skills

Languages

PythonJavaScript SQLJava

AI / Machine Learning

Scikit-learnTensorFlow XGBoostOpenCVNLP

Full-Stack & Web

React.jsNode.js FlaskFastAPIREST APIs

Data & Databases

PandasNumPyMySQL PostgreSQLSupabasePower BI

Tools & Platforms

Git / GitHubDocker JupyterLinux

CS Fundamentals

DSAOOP System DesignDBMS
LIVE

GitHub Activity

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CREDENTIALS

Education & Certifications

B.Tech, Computer Science Engineering (Data Science)

Shreeyash College of Engineering & Technology, Dr. BATU — Aug 2023 – Jun 2026

CGPA: 7.83 / 10.0

Coursework: Data Structures & Algorithms, Database Systems, OOP, Operating Systems, Machine Learning, Big Data Analytics, Probability & Statistics.

  • 1st Prize — TECHNOYASH-25 — college project competition, Face Recognition Attendance System (95% accuracy), 2025
  • Microsoft Certified: Career Essentials in Data Analysis — Microsoft & LinkedIn, Jul 2025
  • Participant, TENET Hack 25 — AISSSMS Institute of Information Technology, Pune, 2025
GET IN TOUCH

Let's build something.

Open to Software Engineer, AI/ML and Full-Stack roles. I usually reply within a day.