---
title: "UTKARSH SHUKLA - Deep Learning Engineer (Computer Vision) in Mumbai | Tal"
description: "Meet UTKARSH SHUKLA, Deep Learning Engineer @ Company | Data Analysis, NLP based in Mumbai."
image: "https://tal.club/meet/utkarsh-7/share-image"
---

# UTKARSH SHUKLA on Tal

## Headline

Deep Learning Engineer @ Company \| Data Analysis, NLP

## About

Currently pursuing an MCA at the Indian Institute of Information Technology Bhopal, with a strong foundation in computer science and a B\.Sc\. in Information Technology from Kishinchand Chellaram College\. Academic pursuits are complemented by a focus on advanced machine learning techniques, natural language processing, and deep learning\. As a Deep Learning Engineer, contributed to developing a visual recommendation system utilizing a pre\-trained ResNet50 model and K\-Nearest Neighbors \(KNN\) algorithm to identify visually similar products\. Built an interactive Streamlit application to enhance user experiences and optimized preprocessing pipelines for improved model efficiency\. Passionate about leveraging AI to solve real\-world problems and actively working to strengthen data structures and algorithms for building production\-level machine learning systems\.

## Location

Mumbai

## Work experience

Deep Learning Engineer \(Computer Vision\) at Self\-Initiated Projects, Mar 2026 \- Present · 4 mos, • Developed a visual recommendation system using a pre\-trained ResNet50 model to extract 2048\-dimensional feature embeddings from over 44,000 fashion images\. • Implemented K\-Nearest Neighbors \(KNN\) algorithm to identify and recommend visually similar products based on uploaded images\. • Optimized image preprocessing pipeline using L2 normalization to ensure consistent feature scaling and improved similarity matching\. • Built an interactive Streamlit\-based application enabling users to upload images and receive real\-time recommendations\. • Focused on improving model efficiency and accuracy in large\-scale image similarity search\.

Machine Learning Developer \(Project\) at Self\-Initiated Projects, Jan 2026 \- Mar 2026 · 3 mos, Remote, • Developed an end\-to\-end machine learning model to predict laptop prices with 89% R² accuracy, enabling fair price estimation for users\. • Designed a robust Scikit\-learn pipeline using ColumnTransformer to automate preprocessing, including encoding and feature scaling, while preventing data leakage\. • Performed advanced feature engineering by extracting meaningful features such as PPI \(Pixels Per Inch\) and SSD capacity from raw specifications\. • Built and deployed an interactive web application using Streamlit, allowing users to input specifications and get real\-time price predictions\. • Focused on model optimization and generalization to ensure reliable performance on unseen data\.

Machine Learning Engineer \(NLP & Recommender Systems\) at Self\-Initiated Projects, Nov 2025 \- Mar 2026 · 5 mos, • Built a content\-based movie recommendation system capable of suggesting similar movies based on user preferences\. • Applied Natural Language Processing \(NLP\) techniques including Bag\-of\-Words vectorization and stemming to transform textual data into numerical features\. • Implemented cosine similarity to compute similarity scores between movies in a high\-dimensional vector space\. • Addressed the cold\-start problem by leveraging content\-based filtering instead of collaborative filtering\. • Integrated TMDB API to dynamically fetch movie posters and metadata, enhancing user experience in the frontend interface\.

## Education

Master of Computer Applications \- MCA, Computer Science, Indian Institute of Information Technology Bhopal

bsc, Information Technology, Kishinchand Chellaram \(KC\) College, Mumbai

[View the original profile](https://tal.club/meet/utkarsh-7)

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