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@anushkapandhere
Aspiring software engineer focused on scalable web apps, AI-driven solutions, and product-oriented development.
I am an aspiring software engineer with hands-on experience building scalable web applications using Node.js, React, Firebase, and Angular. I combine product-oriented development with an interest in AI-driven features and LLM experimentation.
In internships I developed backend APIs with strong test coverage, automated data extraction with Python, and optimized frontend components to improve responsiveness and reduce load times. I have deployed responsive WordPress sites and collaborated closely with founders and cross-functional teams.
My projects include a women’s safety wearable integrating ESP32-CAM, GPS, GSM and a mobile app for real-time streaming and SOS alerts, and an NFC-based Duty Monitor system for real-time personnel tracking. I led published work and presented at a conference as lead author.
I seek roles where I can contribute to clean, maintainable codebases, collaborate in Agile teams, and continue exploring AI-infused architectures and prompt engineering to build impactful products.
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Work history, roles, and key accomplishments
RXR Solution Pvt Ltd.
Feb 2025 - Jul 2025 (5 months)
Developed Node.js back-end APIs with 80%+ unit test coverage, reducing integration issues by 35%; automated data extraction in Python to cut manual processing time by 40% and optimized Angular components to improve page load times by 25%.
AuctusInfotech
Feb 2022 - Jul 2022 (5 months)
Collaborated to design and deploy 5+ responsive WordPress sites, increasing user engagement and estimated lead conversion by 20%; streamlined UX and backend logic to reduce client-reported issues by 25%.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Computer Engineering
2022 - 2025
Grade: 9.2 / 10.0
Activities and societies: Projects: She Shield wearable safety device, DutyMonitor NFC tracking; Publications and hackathon participation (SheCodes2024, SmartIndia internal hackathon).
Bachelor's in Computer Engineering with a CGPA of 9.2/10, focused on software development, embedded systems, and AI-driven projects.
Software and tools used professionally
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