Trisha Debnath — Machine Learning Engineer

About Me

I'm Trisha Debnath, a detail-oriented Machine Learning Engineer and Frontend Developer. With a strong foundation in Python and JavaScript, I thrive on building scalable applications and machine learning models that prioritize user experience. Collaborating with teams to deliver high-quality solutions is my passion.

Professional Experience

Machine Learning Engineer

Upwork

Sep 2025 – Present

Kolkata

Key Responsibilities & Tech:

Engineered an end-to-end sentiment analysis pipeline to extract and analyze user comments from YouTube videos utilizing Python and leading ML libraries (e.g., scikit-learn, pandas, NLTK/spaCy).
Preprocessed and cleaned large-scale text data, applying NLP techniques such as tokenization, stopword removal, and lemmatization to enhance model performance.

Frontend Engineer

Freelancer

Dec 2025 – Present

Kolkata

Key Responsibilities & Tech:

Developed responsive and user-friendly web applications for diverse clients, ensuring cross-browser compatibility and optimal performance.
Translated UI/UX designs into high-quality, reusable code using modern frontend technologies, implementing efficient layouts, components, and state management to enhance user experience and application scalability.

Education & Certifications

Academic Background

Bachelor of Technology

Jadavpur University, Kolkata

Nov 2023 – Dec 2027

CGPA - 7.7

Higher Secondary

Basanti High School, Kolkata

Dec 2020 – Dec 2022

Marks - 96%

Featured Projects

M

Myntra E-commerce Website Clone

HTML, CSS, JavaScript

Developed a frontend clone of the Myntra e-commerce platform, implementing product listings, navigation components, and interactive UI using HTML, CSS, and JavaScript.
Built dynamic features such as product browsing and cart functionality using JavaScript with DOM manipulation for real-time user interactions.
Designed a responsive user interface with structured layouts and modern styling to replicate real-world e-commerce website design patterns.

HTMLCSSJavaScript

T

TailorCV.ai

HTML, CSS, JavaScript

Designed and developed the frontend interface for an AI-powered resume optimization platform, creating responsive pages using HTML, CSS, and JavaScript for seamless user interaction.
Built intuitive UI components for resume upload, job description input, and result display, enabling users to easily interact with the backend LLM-powered system.
Integrated frontend with FastAPI backend APIs, contributing to a deployed product that attracted 50+ users within the first week of launch.

HTMLCSSJavaScript

I

Inventory Management System

FastAPI, PostgreSQL

Developed a scalable inventory management system with full CRUD operations and multi-field search over product data.
Built RESTful APIs using FastAPI with asynchronous processing and automatic OpenAPI documentation.
Designed normalized PostgreSQL schemas to ensure data integrity and optimize query performance.
Integrated backend with frontend via Jinja2 templates and managed database interactions using SQLAlchemy / psycopg2.

FastAPIPostgreSQL