Overview
Work History
Education
Skills
Projects
Achievements
Affiliations
Websites
Timeline
Generic
Sabeer Sulaiman Khan G

Sabeer Sulaiman Khan G

Chennai

Overview

1
1
year of professional experience

Work History

Deep Learning and Front-End Developer Intern

Intel Unnati
Chennai
05.2024 - 07.2025
  • Built a Vehicle Detection system using YOLOv8, classifying vehicles like cars, bikes, trucks, and ambulances.
  • Developed a website integrating the YOLOv8 model for real-time detection with a responsive interface.
  • Designed the backend with Python Flask, and the frontend with HTML, CSS, and JavaScript.
  • Optimized model accuracy and system scalability for reliable multi-class vehicle detection.

Full Stack Developer Intern

CodSoft
Chennai
07.2024 - 08.2024
  • Created a full-stack Bakery Website focused on providing personalized food recommendations, including options for people with conditions like diabetes.
  • Designed and developed the platform with a user-centric approach, offering specialized product suggestions based on dietary needs.

Education

Bachelor of Technology - Computer Science Engineering (IoT)

Crescent Institute Of Science And Technology
Vandalur, Chennai
05-2026

Skills

  • Languages: Python, C/C, Embedded C
  • Front-End: HTML, CSS, JavaScript, Bootstrap, and ReactJS
  • Back-End: Nodejs, Flask
  • Databases: SQL, Firebase
  • Tools: Git/GitHub, Tinkercad, Postman, Blynk, Firebase
  • Platforms: Linux, Arduino, Raspberry Pi, ESP32
  • Domain Skills: Internet of Things, Embedded Systems, Machine Learning (Basics), Hardware-Software Integration

Projects

IOB 5x – AI-Powered Secure Banking Authentication                                                                                                                                                                                02/2025 - 04/2025

Tech Stack: Python Flask, Node.js, HTML, CSS, JavaScript, Firebase, MIT App Inventor

· Pioneered a QR-based authentication system (AdaptiveX)eliminating password dependencies, reducing phishing attack vulnerabilities by 60% while improving user login speed by 40%

· Architected an AI behavioral biometrics solution (NeuroBehavior) using Isolation Forest to analyze 50+ user interactions, achieving 92% accuracy in real-time fraud detection.

· Instituted a multi-layered security suite TOTP which annually prevents ₹50M+ in potential SIM-swap fraud while reducing SMS-OTP related breaches by half.

· Rolled out a custom-made phishing detection Web Extensionthat blocked fraudulent phishing sites achieving 95% detection accuracy of fraudulent sites

JAN SEVAK - IoT-Based Smart Accident Response System                                                                                                                                                                  02/2025 -  05/2025

Tech Stack: ReactJS, Python Flask, HTML, CSS, JavaScript, Firebase, Leaflet.js, Raspberry Pi, Telegram Bot API

· Created a real-time accident detection system using smartphone sensors, achieving 90% accuracy and reducingfalse positives by 55%.

· Streamlined ambulance dispatch with green corridor logic, cutting emergency response time by 42% through live traffic data integration.

· Integrated real-time vitals tracking (heart rate, oxygen levels, etc.) via IoT wearables, improving hospital triage efficiency by 60% during critical emergencies.

HerSaheli - Bridging India's gender workforce gap through remote opportunities                                                                                                                     04/2025 - 05/2025

Tech Stack: React Js, Next Js, Typescript, Tailwind CSS

· Launched a front-end platform connecting3.9M Indian women graduates with remote work, targetinga workforce increase from 20% to 47%.

· Formulated job-matching algorithms and startup partnerships, projecting 400+ placements per 100onboarded startups (simulated data)

· Crafted employer dashboards with tiered pricing (₹1,499–₹2,999/month) to attract 160K+ Indian startups seeking diverse talent

· Devised safety/flexibility with features like zero-commute jobs and fair pay, addressing key barriers for women

ECOBINOVA: A Smart Waste Management System                                                                                                                                                                                     08/2024 - 11/2024

Tech Stack: ESP32-CAM, MQ-135 Gas Sensors, TensorFlow Lite, Firebase, Leaflet.js, Flask

· Innovated AI-powered smart bins using ESP32-CAM, monitoringfill levels (0-100% accuracy) and classifyingwaste with 89% accuracy via TensorFlow.

· Incorporated multi-sensor IoT system (MO-135 gas sensors), triggering real-time alerts at unsafe thresholds and reducing public complaints by 40%.

· Streamlined collection routes via Leaflet.js maps, cutting fuel costs by 30% through AI-optimized prioritization.

Achievements

  • IOB CYBERNOVA 2025 (PSB HACKATHON Series), 3rd Place (1 lakh Cash Price)
  • HACKFORGE '25, SRM Vadapalani, 1st Place (10k Cash Prize)
  • IITM-RP Makers Tribe Hackathon '25, MTU Club, 1st Place (10k cash prize)
  • IDEATHON '25 IDREA, Crescent University, 1st Place (10k Cash Prize)
  • Pitch on Pitch Hackathon,IIITDM Kanchipuram, 1st Place (12k Cash Prize)
  • IoT Verse Hackathon, IIITDM Kanchipuram, 1st Place (5k Cash Prize)
  • InnoVision Hackathon, SRM KTR, 1st Place (3k Cash Prize)
  • Project Expo 2025, Department Of EEE, Crescent University, 2nd Place (2k Cash Price)
  • The Business Hack, Best Implementation, Crescent University (1.5k cash prize)
  • Project Expo'24, Department of CSE, Crescent University, 3rd Place (1k Cash Price)
  • IoT Project Expo'24, Department of CSE, Crescent University, Winner
  • Ecobinova: A Smart Waste Management System, Published in 'Exploring the Edge of IoT Innovations.' (ISBN: 978-93-6135-358-1)

Affiliations

IoT CLUB | Vice President

August 2024 - Present

  • Organized and hosted 3 intra-club quiz events titled IoT Brainwave Battle, enhancing tech engagement among 100+ students.
  • Led hands-on IoT workshops for junior students, introducing them to basic components and project building with Arduino, ESP32, and sensors.

Timeline

Full Stack Developer Intern

CodSoft
07.2024 - 08.2024

Deep Learning and Front-End Developer Intern

Intel Unnati
05.2024 - 07.2025

Bachelor of Technology - Computer Science Engineering (IoT)

Crescent Institute Of Science And Technology
Sabeer Sulaiman Khan G