td19454@gmail.com
Hi, I'm Trisha

Crafting intelligent software solutions with a focus on machine learning and AI integration.

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I'm Trisha Debnath, a Frontend Engineer
Trisha Debnath

I'm Trisha Debnath, a passionate Frontend Engineer with a strong background in data science. I specialize in designing end-to-end software solutions that leverage machine learning and AI to deliver impactful results. My goal is to create seamless user experiences while harnessing the power of advanced technologies.

My Journey

Machine Learning Engineer @Alignerr

Jan 2026-Present
  • Enhanced model prediction accuracy by 15% through comprehensive analysis of agent responses across various rubrics and state scenarios.
  • Transcribed over 50 audio and video files to generate high-quality training and test datasets.
  • Evaluated LLM conversations to assess the correctness of tool usage, API calls, and reasoning flow.

Bachelor of Technology

Jadavpur University (2023-2027) · Secured 98.5 percentile in JEE Mains out of 1,400,000 students and 1458 rank in WBJEE

High School

Hariyana Vidya Mandir (2020-2022) · Scored 96% in class 10 and 92% in class 12

Skills & Tools

Machine Learning & AI 87%
Supervised Learning 73%
Unsupervised Learning 87%
Natural Language Processing 77%
Computer Vision 71%
LLM Fine Tuning 71%
Retrieval Augmented Generation 72%
TensorFlow 88%
PyTorch 93%
scikit-learn 76%
Hugging Face 76%
Pandas 86%
NumPy 79%
Langchain 81%
Amazon Web Services (AWS) 89%
Docker 86%
MLflow 86%
DVC 91%
FastAPI 93%
Flask 79%
Streamlit 81%
CI/CD 79%
SQL 91%
ETL Pipelines 83%
Linux 79%
Vector Databases 78%
Python 86%
C 77%
JavaScript 88%
HTML 72%
CSS 91%
Data Structures and Algorithms 72%

Projects

Some of the things I've built.

Tailorcv.ai

Tailorcv.ai

  • Developed an AI web application that customizes resumes to align with job descriptions, enhancing resume relevance by up to 80%.
  • Engineered a Python and FastAPI backend, complemented by HTML, CSS, and JavaScript for the frontend, deployed on AWS.
  • Achieved over 50 users within the first week of launch, demonstrating strong early adoption and real-world impact.
AI web app utilizing LLMs and NLP pipelines
Youtube Sentiment Analysis

Youtube Sentiment Analysis

  • Created a comprehensive YouTube sentiment analysis pipeline processing over 10,000 user comments, enhancing sentiment classification performance through advanced NLP preprocessing techniques.
  • Tracked multiple model experiments using MLflow and DVC, facilitating reproducible training and systematic comparison of models developed with scikit-learn and NLP libraries.
  • Deployed the pipeline on AWS utilizing Docker, exposing predictions via Flask REST APIs for scalable and reproducible inference.
End-to-end sentiment analysis pipeline
RAG System

RAG System

  • Developed a production-ready RAG pipeline integrating semantic vector retrieval with LLM generation to produce context-grounded responses.
  • Engineered multiple chunking strategies and a scalable ingestion, retrieval, and generation flow for efficient semantic search and generation.
  • Implemented history-aware and multimodal augmentations, evaluating retrieval outputs to measure relevance and quality.
Production-ready RAG pipeline
Smart Product Pricing Model, Amazon ML Challenge 2025

Smart Product Pricing Model, Amazon ML Challenge 2025

  • Created an NLP and CV pipeline to analyze 150,000 image and text data using transformer-based text encoders and CNN-based image embeddings, integrating them through a fusion neural network for price prediction.
  • Implemented data preprocessing techniques, including text cleaning, tokenization, and streaming image feature extraction with ResNet and CLIP representations to manage large datasets.
  • Applied feature engineering, outlier handling, and SMAPE-based evaluation to optimize prediction accuracy, achieving a rank of 142 out of 50,000 participants.
NLP and CV pipeline for price prediction

Open Source & Leadership

Core Member @Jadavpur University Entrepreneurship Cell

  • Organized national-level flagship events such as E-Summit 2025 and Hult Prize 2025, achieving over 5,000 registrations and 1,000+ on-campus attendees.
  • Contributed to the establishment of an Incubation Center at Jadavpur University under the Institution’s Innovation Council (IIC).

Coordinator @Jadavpur University Finance Club

  • Led planning and execution of Finspire 2025, a national-level finance event with over 1,000 registrations and 500+ on-ground attendees, strengthening the club’s national presence.
  • Delivered high-impact trading and investment courses to over 100 students, enhancing engagement in financial markets.

Get In Touch

Let's discuss your next project or just say hello!

Let's Connect

I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology and development.

Email
td19454@gmail.com
Location
Houston
Response Time
Within 24 hours