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Kanish Paul

Career & Experience

+91 93305 14543

Professional Summary

B.Tech CSE (AI & ML) undergraduate with a strong foundation in Object-Oriented Programming (OOP), Data Structures & Algorithms (DSA), and software development. Experienced in building scalable full-stack web applications and integrating complex AI/ML models. Proficient in Java, SQL, JavaScript, HTML5, and CSS3, with hands-on experience designing relational database schemas for CRUD operations in MySQL. Skilled at applying best coding standards and maintaining version control with GIT to develop robust, real-time systems.

Education

Institute of Engineering and Management (IEM), Kolkata
B.Tech Computer Science and Engineering (AI & ML)
2023 – 2027
CGPA: 7.7 (till 5th sem)
St Francis Xavier School
ISC (Class XII) — 81.25%
2023
St Francis Xavier School
ICSE (Class X) — 89.00%
2021

Technical Skills

Programming
Java, SQL, JavaScript, HTML5, CSS3, Python, C
Core Concepts
Object-Oriented Programming (OOP), Data Structures & Algorithms (DSA)
Backend & Web
WebSockets, REST APIs, Real-time Systems, Microservices Design Principles
Databases
MySQL (CRUD Operations), Relational Database Management Systems (RDBMS)
AI/ML & Tools
TensorFlow, Scikit-learn, OpenCV, GIT, GitHub, Docker, Google Cloud Basics

Projects

01
TrustCall — Real-Time Scam Detection System
trustcall.vercel.app
  • /Built a full-stack, real-time system for detecting scam calls and SMS, interpreting functional requirements to deliver a highly responsive application.
  • /Developed the backend architecture using WebSockets and REST APIs, applying DSA and OOP principles to optimize data routing and processing.
  • /Integrated Whisper for speech-to-text and DistilBERT for NLP-based classification, ensuring seamless communication between the frontend and AI engine.
02
BrainSightAI — Tumor Detection Platform
brainsightai.vercel.app
  • /Developed a responsive user interface leveraging HTML5, CSS3, and JavaScript to present complex medical data clearly to end-users.
  • /Engineered and integrated CNN-based models (DenseNet, ResNet) with Grad-CAM for accurate medical scan analysis and visual explanations.
  • /Implemented best coding standards and maintained component design specifications using GIT.
03
Low-Cost AI Drone
  • /Designed and built a highly efficient 25K AI-powered drone tailored for search & rescue operations.
  • /Utilized embedded systems programming, applying robust problem-solving skills to bridge hardware components with real-time software processing.

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Internships & Certifications

  • /Deloitte Data Analytics Simulation | Virtual Intern: Handled data and performed data classification and visualization using Tableau.
  • /AWS Cloud Quest: Learned cloud computing basics including AWS S3, VPC, EC2, and related infrastructure.
  • /Blockchain Basics by Cyfrin Updraft: Learned Solidity and foundational blockchain knowledge.