Joseph Harris — Frontend Engineer

My Professional Side

I'm Joseph Harris, a dedicated Frontend Engineer with a passion for merging machine learning and software development. I specialize in creating impactful applications that enhance user interaction and streamline processes, leveraging my expertise in AI and software design.

Email

shubhamsarkarthe1@gmail.com

Location

kolkata,westbengal

Education

Bachelor of Technology

Education

Bachelor of Technology

Jadavpur University

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

High School

Hariyana Vidya Mandir

2020-2022Scored 96% in class 10 and 92% in class 12

Skills

Machine Learning & AI

Supervised Learning

Unsupervised Learning

Natural Language Processing

Computer Vision

LLM Fine Tuning

Retrieval Augmented Generation

TensorFlow

PyTorch

scikit-learn

Hugging Face

Pandas

NumPy

Langchain

Amazon Web Services (AWS)

Docker

MLflow

DVC

FastAPI

Flask

Streamlit

CI/CD

SQL

ETL Pipelines

Linux

Vector Databases

Python

C

JavaScript

HTML

CSS

Data Structures and Algorithms

Stuff I Built

Tailorcv.aiCheck out ↗

AI web app utilizing LLMs and NLP pipelines

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 AnalysisCheck out ↗

End-to-end sentiment analysis pipeline

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 SystemCheck out ↗

Production-ready RAG pipeline

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 2025Check out ↗

NLP and CV pipeline for price prediction

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

Work Experience

Machine Learning Engineer

Alignerr

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.

Jan 2026-Present

Achievements

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.

Say Hi, Don't Be Shy

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

Email

shubhamsarkarthe1@gmail.com

Phone

8240044652

Location

kolkata,westbengal

Connect With Me