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Nupur Thakre

@nupurthakre

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Entry-level software engineer building AI-powered, data-driven applications and robust testing.

India

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What I'm looking for

I’m looking for an environment where I can build AI- and data-driven features end-to-end, contribute to backend and full-stack development, and ensure quality through testing, bug reporting, and clear SDLC practices.

I’m a software engineering enthusiast focused on delivering high-quality solutions through hands-on work in Python, machine learning, and practical testing. I enjoy turning real-world problems into reliable systems, and I’m motivated by learning new technologies while collaborating effectively with others.

In my projects, I built CareerLens v3, a hybrid AI recommendation system using stacked ensembles and TF-IDF feature extraction, achieving 95.51% test accuracy and a Macro ROC-AUC of 0.9978; the work was presented as an accepted research paper at ICSAIEM 2026. I also developed PetMitra, a full-stack platform with JWT authentication, Cloudinary media storage, modular REST APIs, and role-based workflows for pet owners, veterinarians, and NGOs, and I created an LLM-based HR policy query system using Retrieval-Augmented Generation (RAG) for accurate document intelligence. Alongside ML/AI, I built an e-commerce Power BI dashboard to support business insights.

Experience

Work history, roles, and key accomplishments

PetMitra Full-Stack Platform

PetMitra

Built a full-stack platform connecting pet owners, veterinarians, and NGOs with role-based dashboards for appointment booking, pet profiles, and event management. Implemented JWT authentication, Cloudinary media storage, modular REST APIs, and geolocation features to list nearby vets, pet stores, and events, along with community meetup groups, an event calendar, and forums.

Full Stack Web Development REST APIs JWT Cloudinary Geolocation Role Based Dashboards Error Handling Database Design API Integration Backend Development

CareerLens v3 Recommender

CareerLens v3

Developed an AI-powered career recommendation system for students aged 14–25 using a hybrid approach that combines academic performance, RIASEC interests, and Big Five personality traits. Built a stacked ensemble (Logistic Regression + K-Means with a Random Forest meta-classifier) using TF-IDF features, achieving 95.51% test accuracy and a Macro ROC-AUC of 0.9978 with 10-fold cross-validation.

Python Machine Learning Stacked Ensemble Logistic Regression Random Forest K Means TF IDF Model Evaluation Cross Validation

E-commerce Sales Dashboard

Developed an interactive Power BI dashboard for e-commerce sales analytics to support business and strategic decision-making. Visualized revenue, customer trends, and product performance metrics to enable clearer performance insights.

Power BI Data Visualization Sales Analytics Dashboards Data Modeling MS Excel Business Intelligence Revenue Reporting

LLM HR Policy Query System

LLM Based HR Policy

Created an LLM-based HR policy document intelligence query system for educational institutions using Retrieval-Augmented Generation (RAG) to answer policy questions. Designed AI chatbots and a content generation processing pipeline with advanced text processing, vector-based data structures, and secure data handling.

LLM Retrieval Augmented Generation (RAG)Document Intelligence Vector Databases Chatbot Data Security

Education

Degrees, certifications, and relevant coursework

Pimpri Chinchwad College of Engineering

Bachelor of Technology, Information Technology

2022 - 2026

Activities and societies: Research accepted at ICSA IEM 2026; event anchor/organiser for college events; active NSS volunteer supporting social impact initiatives.

Pursuing a Bachelor of Technology in Information Technology (Oct 2022–June 2026).