Divya Rani

Software Engineer

Noida, Uttar Pradesh, India 1+ yrs exp 83 · Excellent

About

B.Tech Computer Science & Engineering graduate (2026) with 11+ months of hands-on industry experience at Nokia, delivering production-grade Python automation, AI/LLM-powered platforms, and NLP pipelines. Proficient in Flask, REST APIs, Docker, Kubernetes, and scalable backend systems. Demonstrated expertise in Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, DBMS, Computer Networks, and Microservices architecture. Passionate about building intelligent, high-impact software solutions.

Skills & Expertise (35)

VS Code Intermediate

7.4/10

Years Exp

Jupyter Notebook Intermediate

7.4/10

Years Exp

Python Intermediate

7.4/10

Years Exp

Git Intermediate

7.4/10

Years Exp

GitHub Intermediate

7.4/10

Years Exp

REST APIs Intermediate

6.4/10

Years Exp

Kubernetes Intermediate

6.4/10

Years Exp

Docker Intermediate

6.4/10

Years Exp

Sentiment Analysis Intermediate

6.4/10

Years Exp

Machine Learning Intermediate

6.4/10

Years Exp

NLP Intermediate

6.4/10

Years Exp

scikit-learn Intermediate

6.4/10

Years Exp

NLTK Intermediate

6.4/10

Years Exp

OpenpyXL Intermediate

6.4/10

Years Exp

Flask Intermediate

6.4/10

Years Exp

relational databases Intermediate

5.4/10

Years Exp

Data Structures & Algorithms Intermediate

5.4/10

Years Exp

OOP Intermediate

5.4/10

Years Exp

Operating systems Intermediate

5.4/10

Years Exp

DBMS Intermediate

5.4/10

Years Exp

Computer Networks Intermediate

5.4/10

Years Exp

Software Engineering Intermediate

5.4/10

Years Exp

SQL Intermediate

5.4/10

Years Exp

MySql Intermediate

5.4/10

Years Exp

JavaScript Intermediate

5.4/10

Years Exp

CSS Intermediate

5.4/10

Years Exp

HTML Intermediate

5.4/10

Years Exp

Load Balancing Beginner

4.0/10

Years Exp

Large Language Models Beginner

4.0/10

Years Exp

RAG Pipelines Beginner

4.0/10

Years Exp

LangChain Beginner

4.0/10

Years Exp

Microservices Beginner

4.0/10

Years Exp

System Design Beginner

4.0/10

Years Exp

Odoo ERP Beginner

3.5/10

Years Exp

C++ Beginner

3.5/10

Years Exp

Work Experience

Software Engineer Intern

Nokia

Aug 2025 - Jul 2026

Architected a configuration-driven Excel automation platform for electrical and civil survey workflows using Python, Flask, and OpenPyXL, significantly reducing manual documentation effort and improving reporting accuracy. Engineered dynamic Excel checklist templates, Word documentation, and PowerPoint-based reporting systems, enabling end-to-end automated survey documentation workflows. Built an intelligent image rendering pipeline supporting adaptive resizing, aspect-ratio preservation, pixel-level alignment, margin normalization, and EXIF-aware processing for heterogeneous digital survey images. Implemented automated reporting workflows for seamless survey image embedding into Excel templates, enhancing overall operational efficiency and data consistency. Designed and developed an AI-powered TSSR (Telecom Site Survey Report) intelligence platform leveraging Large Language Models (LLMs) and NLP for automated semantic extraction and analysis of telecom survey data. Built NLP-driven document parsing pipelines to identify tower topology, headframe configurations, equipment metadata, and site parameters from unstructured telecom reports. Implemented RAG-based contextual QA and automated knowledge extraction pipelines for intelligent querying over TSSR datasets, improving reporting precision and operational scalability.

Backend Engineer Intern

Stealth Startup

Dec 2024 - May 2025

Developed horizontally scalable alerting workflows and dynamic policy distribution mechanisms using Python, Kubernetes, and Docker, leveraging consistent hashing for efficient load balancing across distributed services. Designed and tested backend microservices to support real-time alert propagation, ensuring fault tolerance and high availability in a cloud-native environment.

Machine Learning Intern

Edureka

Jul 2024 - Aug 2024

Developed NLP-based sentiment analysis models using Python, NLTK, and Scikit-learn for customer review classification, enabling ML-driven data analysis and business insight generation workflows. Performed data preprocessing, feature engineering, and model evaluation on real-world datasets, improving classification accuracy and pipeline efficiency.