Detail-oriented Software Engineer with 1+ year of experience in developing and optimizing scalable software solutions. Proven track record in improving system efficiency by up to 70% through workflow optimization and legacy system upgrades. Skilled in Python, REST API development, automation scripting, and cloud technologies including Google Cloud Platform and Docker. Adept at collaborating with cross-functional teams to deliver high-quality software products and secure new business opportunities.
Overview
2
2
years of professional experience
Work History
Software Engineer
Vaultedge Software Private Limited
08.2024 - Current
Led optimization of company demo workflow by eliminating redundant JSON and processing steps, reducing execution time from 5–7 minutes to 2–3 minutes, directly contributing to securing a new client.
Improved production efficiency by identifying bottlenecks and upgrading legacy Excel-generation modules, decreasing Excel creation time by ~70% (7 minutes to ~2 minutes) and reducing Google App Engine compute usage.
Developed a secure Proof-of-Concept Ubuntu kiosk environment using Apache Guacamole and Chrome kiosk mode, enabling secure user login and automating data downloads with Python, Selenium, and Pandas.
Enhanced UI responsiveness through multithreading for immediate post-login feedback and optimized dashboard filtering logic, reducing Google Datastore query load and backend processing time.
Implemented new REST APIs, authored regression test cases to ensure API stability, maintained technical documentation, resolved defects in testing and production, collaborated with stakeholders and sales teams, and managed frequent deployments via CI/CD pipelines.
Software Engineer Intern
Vaultedge Software Private Limited
05.2024 - 07.2024
Resolved software bugs and implemented multiple enhancements including new output fields and optimized internal logic, resulting in improved system stability.
Conducted automated image tilt/rotation detection benchmarking using Python, OpenCV, Tesseract, and Deskew library; identified the most accurate approach with zero false positives, documented findings, and recommended maintaining existing solutions.
Created and maintained technical documentation to support internal teams and streamline onboarding.
Built internal tools and prototypes using Streamlit and Google Colab to visualize outputs and accelerate experimentation.
Collaborated with senior engineers to enhance system workflows and contribute to incremental feature improvements.
Education
Master of Computer Application - undefined
Chandigarh University
05.2023
Bachelor of Science - Computer Science (Hons.)
Delhi University
05.2020
Skills
Programming Languages: Python, SQL, HTML/CSS
TEACHING EXPERIENCE
Applied Tech Teacher: Delivered hands-on instruction in Python for Data Science covering Pandas, NumPy, Matplotlib, data cleaning, and exploratory data analysis.
Guided learners through introductory Machine Learning workflows using Scikit-learn, including preprocessing, feature engineering, model building, and evaluation.
Developed interactive Streamlit web apps to demonstrate data visualization and ML workflows.
Conducted live coding sessions and model experimentation using Google Colab.
Mentored students on real-world data tasks such as web scraping, automation scripts, API handling, and Python code optimization.
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