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Rexon David Pambujya

Machine Learning Engineer | Building & deploying ML models + agentic AI/LLM systems driving real-world business impact | Python, SQL

India

2+ years of work experience

NeoSOFT
Jul 20257 mosJan 2026

Mumbai, Maharashtra, India

Blitzar Tech Private Limited
Feb 20241 yr 2 mosMar 2025

Mumbai, Maharashtra, India

● Worked on a web application to modernize the salary processing system for BMC schools, replacing manual file-based processes with an online system. ● Built backend services using Python, integrating REST APIs for seamless data processing. ● I worked on developing several frontend modules using modern technologies React.js, Next.js, HTML, and CSS, to enhance navigation and user experience. ● This project significantly improved efficiency and accuracy in salary disbursement for BMC schools.
XEMI
Oct 20234 mosJan 2024

Mumbai, Maharashtra, India

● Preparing training data for the Machine Learning model by annotating the essential attributes in the 250+ documents. ● Utilized the Langchain framework to train a machine-learning model on HSN documents. This implementation significantly enhanced the accuracy of predicting HSN codes based on product descriptions. As a result, it streamlined the manual process of code identification and optimized efficiency in code assignment. ● I engaged in fine-tuning of OpenAI model (GPT-3.5) utilizing the HSN dataset. ● Created an EwayBill module using HTML, CSS and angular to streamline and automate filling out the E-waybills(bill required for transporting shipments) form, reducing the manual workload.
Cere Labs
Jul 20221 yr 1 moJul 2023

Mumbai, Maharashtra, India

● Created a clear business problem statement to improve logistics operations and speed delivery. By analyzing data and optimizing processes, delivery efficiency was significantly improved. ● Enhanced the dataset by integrating additional geographic information using Google’s API, adding three new features that facilitated spatial analysis and increased the dataset's value. ● Analyzed customer data and identified clusters of locations that could be efficiently served by a single delivery route from the cluster's centroid, resulting in an average reduction in distance travelled per route. ● Implemented a novel clustering approach using the Travelling Salesman Problem to optimize delivery routes within defined thresholds, which resulted in the routing distance within the clusters. ● Worked on developing an interactive dashboard using Folium and Streamlit to visualize spatial data, including key metrics and filters. This improved decision-making and doubled efficiency in analyzing location-based insights.
GitHub
@Rexon-Pambujya

Education

St. Francis Institute Of Technology

Bachelor of Engineering - BE, Information Technology

St. Francis Institute Of Technology

20194 yrs2023

H.S.C, Science

Thomas baptista junior college

20172 yrs2019

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Headline

Machine Learning Engineer | Building & deploying ML models + agentic AI/LLM systems driving real-world business impact | Python, SQL

About

🚀 Who Am I? Hello LinkedIn Community! I’m Rexon Pambujya, a skilled Software Engineer with 3+ years of experience. I thrive at the intersection of data science, artificial intelligence, machine learning, and software engineering. I help companies solve complex real-world challenges into simple, transformative solutions that drive growth and unlock new opportunities. 🤝 Let’s Connect: If you’re ready to turn raw data into strategic value and explore innovative solutions, let’s start a conversation. I’m eager to connect and collaborate on projects that make a real impact!

Location

India

Work experience

Data Scientist at NeoSOFT, Jul 2025 - Jan 2026 · 7 mos, Mumbai, Maharashtra, India

Associate Software Engineer at Blitzar Tech Private Limited, Feb 2024 - Mar 2025 · 1 yr 2 mos, Mumbai, Maharashtra, India, ● Worked on a web application to modernize the salary processing system for BMC schools, replacing manual file-based processes with an online system. ● Built backend services using Python, integrating REST APIs for seamless data processing. ● I worked on developing several frontend modules using modern technologies React.js, Next.js, HTML, and CSS, to enhance navigation and user experience. ● This project significantly improved efficiency and accuracy in salary disbursement for BMC schools.

Software Engineer Trainee at XEMI, Oct 2023 - Jan 2024 · 4 mos, Mumbai, Maharashtra, India, ● Preparing training data for the Machine Learning model by annotating the essential attributes in the 250+ documents. ● Utilized the Langchain framework to train a machine-learning model on HSN documents. This implementation significantly enhanced the accuracy of predicting HSN codes based on product descriptions. As a result, it streamlined the manual process of code identification and optimized efficiency in code assignment. ● I engaged in fine-tuning of OpenAI model (GPT-3.5) utilizing the HSN dataset. ● Created an EwayBill module using HTML, CSS and angular to streamline and automate filling out the E-waybills(bill required for transporting shipments) form, reducing the manual workload.

Data Science Project Intern at Cere Labs, Jul 2022 - Jul 2023 · 1 yr 1 mo, Mumbai, Maharashtra, India, ● Created a clear business problem statement to improve logistics operations and speed delivery. By analyzing data and optimizing processes, delivery efficiency was significantly improved. ● Enhanced the dataset by integrating additional geographic information using Google’s API, adding three new features that facilitated spatial analysis and increased the dataset's value. ● Analyzed customer data and identified clusters of locations that could be efficiently served by a single delivery route from the cluster's centroid, resulting in an average reduction in distance travelled per route. ● Implemented a novel clustering approach using the Travelling Salesman Problem to optimize delivery routes within defined thresholds, which resulted in the routing distance within the clusters. ● Worked on developing an interactive dashboard using Folium and Streamlit to visualize spatial data, including key metrics and filters. This improved decision-making and doubled efficiency in analyzing location-based insights.

Education

Bachelor of Engineering - BE, Information Technology, St. Francis Institute Of Technology

H.S.C, Science, Thomas baptista junior college

Public links

github: https://github.com/Rexon-Pambujya