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I am Shubham Limbachiya, an AI and ML developer focused on building and deploying ML and GenAI applications across Python, NLP, REST APIs, and computer vision. I have led end-to-end projects and introduced an Interpretability Stability Score (ISS) to quantify Grad-CAM robustness under perturbations, and built production-style AI agents on NeuralSeek. I excel in Python, model evaluation, data handling, and communicating results to both technical and non-technical stakeholders. I have interned in the US and India, delivering event recommendation engines, NLP optimizations, AI-powered knowledge bases, and chatbot solutions, with a track record of improving usability and response times.…I am Shubham Limbachiya, an AI and ML developer focused on building and deploying ML and GenAI applications across Python, NLP, REST APIs, and computer vision. I have led end-to-end projects and introduced an Interpretability Stability Score (ISS) to quantify Grad-CAM robustness under perturbations, and built production-style AI agents on NeuralSeek. I excel in Python, model evaluation, data handling, and communicating results to both technical and non-technical stakeholders. I have interned in the US and India, delivering event recommendation engines, NLP optimizations, AI-powered knowledge bases, and chatbot solutions, with a track record of improving usability and response times.

Shubham Limbachiya

AI Developer, Data Scientist, Full Stack Developer, +3

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I am Shubham Limbachiya, an AI and ML developer focused on building and deploying ML and GenAI applications across Python, NLP, REST APIs, and computer vision. I have led end-to-end projects and introduced an Interpretability Stability Score (ISS) to quantify Grad-CAM robustness under perturbations, and built production-style AI agents on NeuralSeek. I excel in Python, model evaluation, data handling, and communicating results to both technical and non-technical stakeholders. I have interned in the US and India, delivering event recommendation engines, NLP optimizations, AI-powered knowledge bases, and chatbot solutions, with a track record of improving usability and response times.…I am Shubham Limbachiya, an AI and ML developer focused on building and deploying ML and GenAI applications across Python, NLP, REST APIs, and computer vision. I have led end-to-end projects and introduced an Interpretability Stability Score (ISS) to quantify Grad-CAM robustness under perturbations, and built production-style AI agents on NeuralSeek. I excel in Python, model evaluation, data handling, and communicating results to both technical and non-technical stakeholders. I have interned in the US and India, delivering event recommendation engines, NLP optimizations, AI-powered knowledge bases, and chatbot solutions, with a track record of improving usability and response times.

Available to hire

I am Shubham Limbachiya, an AI and ML developer focused on building and deploying ML and GenAI applications across Python, NLP, REST APIs, and computer vision. I have led end-to-end projects and introduced an Interpretability Stability Score (ISS) to quantify Grad-CAM robustness under perturbations, and built production-style AI agents on NeuralSeek.

I excel in Python, model evaluation, data handling, and communicating results to both technical and non-technical stakeholders. I have interned in the US and India, delivering event recommendation engines, NLP optimizations, AI-powered knowledge bases, and chatbot solutions, with a track record of improving usability and response times.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Agent Developer Intern at NeuralSeek (CerebralBlue)

September 1, 2025 - November 1, 2025

Planned and deployed a multi-step AI agent workflow on NeuralSeek to generate student-specific cover letters from job descriptions and user profile inputs, reducing manual drafting effort. Built and iterated on AWS Bedrock using Python (boto3, JSON) with prompt patterns and lightweight guardrails. Delivered a reproducible demo script with robust error handling. Created baseline ML experiments to sanity check data and establish simple performance benchmarks; documented findings via Git/GitHub with step-by-step guides and runnable samples, improving clarity and stability.

Python and AI Developer Intern at Evenuefy Pvt Ltd

February 1, 2024 - July 1, 2024

Built an event recommendation engine in Python using scikit-learn features and ranking logic, contributing to a 30-40% increase in user satisfaction. Optimized SpaCy-based NLP pipelines and text preprocessing, reducing query processing time by 40% and improving responsiveness of AI-driven search and recommendations. Presented features in Agile sprints and documented changes for maintainability.

Data Science Intern at Bharti Soft Tech

January 1, 2024 - February 1, 2024

Improved an AI-powered internal search system to support faster knowledge retrieval, reducing research time for internal stakeholders. Built an AI knowledge base using NLTK and Enchant for text normalization and matching, and supported iterative design reviews to validate outputs with real users.

Digital Strategy Associate Intern at Excelerate

January 1, 2025 - February 1, 2025

Audited digital assets and utilized the RACE Framework (Reach, Act, Convert, Engage) to identify growth opportunities. Proposed a strategy roadmap aligning with KPIs and digital engagement goals.

Business Strategy Intern at Excelerate

February 1, 2025 - March 1, 2025

Conducted user research and competitor benchmarking to enhance platform UX. Delivered strategy recommendations improving feature adoption and learner satisfaction.