Welcome to my Portfolio

Hi, I'm Trisa Barai

I am a Computer Science Student |

Specializing in building robust software systems, modern web architectures, and AI-driven solutions. I combine strong algorithmic thinking with clean, efficient code to transform complex problems into intuitive digital products.

Download CV View My Project
baraitrisa@gmail.com +91 8653024020
Trisa Barai
Software Dev Problem Solver
AI & Algorithms Innovator
Background & Education

About Me

Hello! I am Trisa Barai, a dedicated Computer Science student with a strong foundation in software engineering, object-oriented design, and algorithm optimization. I enjoy building dependable software applications and turning computational ideas into practical, user-friendly solutions.

My technical journey revolves around core computer science principles—from mastering data structures and algorithmic complexity to architecting relational databases and engineering intelligent machine learning models.

Academic Education

Bachelor of Technology (B.Tech) in Computer Science & Engineering

Expected Graduation: 2026

University / College Computer Science Department

Focus Areas: Data Structures & Algorithms (DAA), Database Management Systems (DBMS), Operating Systems, Software Engineering, Object-Oriented Programming (Java/C++), and Applied Machine Learning.

Core Competencies:

C / C++ OOP & Systems
Java Backend & Logic
Python AI & Automation
DSA Data Structures
DBMS SQL & Relational
AI / ML Machine Learning

Additional Areas of Interest:

Software Development
Web Development
Operating Systems
SQL Queries
Git & GitHub
Artificial Intelligence
Roadmap

My Learning Journey

A chronological evolution of technical mastery, foundational principles, and intelligent software systems.

Phase 01

C / C++

Procedural programming foundation, pointers, dynamic memory management, and OOP with STL.

Phase 02

Java

Object-oriented architectures, collections framework, exception handling, and backend development principles.

Phase 03

Python

Rapid scripting, automation, data manipulation with NumPy/Pandas, and machine learning model development.

Phase 04

Data Structures & Algorithms

Mastering arrays, linked lists, trees, graphs, dynamic programming, and asymptotic time/space optimization.

Phase 05

DBMS & SQL

Relational database design, ACID transactions, schema normalization, indexing, and complex SQL querying.

Phase 06

Web Development

Responsive user interfaces, semantic HTML5, CSS design systems, dynamic JavaScript, and client-server integration.

Phase 07

AI & Machine Learning

Natural Language Processing (NLP), text tokenization, TF-IDF feature extraction, and predictive spam classification.

Phase 08

Software Engineering

Clean code architecture, modular design patterns, Git/GitHub collaboration, testing, and system deployment.

Core Technical Toolkit

Technical Skills

Proficiencies in programming languages, algorithmic design, data structures, and intelligent systems.

Core

C

Procedural Programming & Memory Management

Pointers Structures
OOP

C++

Object-Oriented Design & Standard Template Library

STL Templates
Backend

Java

Robust OOP, Collections Framework & Backend Dev

OOP Collections
AI & Scripting

Python

AI/ML Modeling, Data Processing & Scripting

NumPy Scikit-Learn
Algorithms

DSA

Data Structures, DAA & Time/Space Optimization

Trees/Graphs Dynamic Prog
Database

DBMS

Relational Architecture, SQL & Normalization

SQL Relational DB
Intelligent Systems

AI / ML

Machine Learning, NLP Text Analysis & Prediction

NLP Classification

Additional Technologies & Tools

HTML5
CSS3
JavaScript
Operating Systems
Git & GitHub
trisa@portfolio:~ (bash)
Live Session
trisa@portfolio:~$ whoami
Computer Science Student & Aspiring Software Developer
trisa@portfolio:~$ skills
Python Java C++ C DSA DBMS AI/ML Web Development
trisa@portfolio:~$ project
Fake Review Detection System (NLP & Machine Learning)
trisa@portfolio:~$ status
Portfolio: ONLINE [200 OK]
AI Demo: ONLINE
Projects: 01 Flagship System
Contact: AVAILABLE FOR OPPORTUNITIES
trisa@portfolio:~$ 
Quick Commands:
Flagship AI Project

Main Project

Intelligent Natural Language Processing pipeline detecting spam and misleading consumer reviews.

AI & Machine Learning Project

Fake Review Detection System

An AI-powered classification system designed to detect deceptive, incentivized, or machine-generated product reviews. The pipeline processes raw unstructured text, performs linguistic & sentiment analysis, and predicts authenticity with calibrated confidence metrics.

NLP Architecture Pipeline Pipeline Ready
01
User Review
02
Preprocessing
03
NLP Analysis
04
Feature Extract
05
AI Classify
06
Fake / Genuine

Key Capabilities:

  • Text Ingestion:
    Normalizes raw text with tokenization, punctuation filtering & lowercasing.
  • Linguistic Feature Extraction:
    Computes exclamation frequency, capital letter ratio & repetitive triggers.
  • Sentiment & Authenticity Scoring:
    Detects hyper-promotional spam indicators vs organic customer sentiment.
  • Confidence Progress Metric:
    Generates probabilistic prediction confidence percentage.
Python Machine Learning HTML5 CSS3 JavaScript Flask SQL
GitHub Repository

Interactive AI Review Classifier

Enter any product review below or load one of the quick test samples:

Get In Touch

Let's Work Together

Have a project idea or want to connect? Feel free to contact me.

Email baraitrisa@gmail.com
Phone +91 8653024020
LinkedIn linkedin.com/in/TrisaBarai
GitHub github.com/TrisaBarai

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