Stack Developer Software Engineer

SRUSHTI PRAMOD BHILARE

****************@*****.*** 866-***-**** LinkedIn GitHub Portfolio

PROFESSIONAL SUMMARY

Passionate MERN Stack Developer with a strong foundation in AI and Computer Vision (OpenCV, TensorFlow). Solved 300+ DSA problems on LeetCode. Built real-world projects like Disease Detection in Human Cells and a Women’s Rights Voice Assistant using image processing and web automation. Proficient in React.js, Node.js, and MongoDB. EDUCATION

Government College of Engineering,And Reserch Avsari Nov 2022 - May 2026 Bachelor of Engineering., CGPA: 8.67

Indian Institute Of Technology Madras Ongoing

Bachelor of Science., CGPA: 7.0

EXPERIENCE

OpenCV Developer Feb 2025 – Mar 2025

AI-Powered Productivity Vision Applications

• Built an OpenCV-based system to monitor remote productivity via gesture detection, improving time-tracking efficiency by 70%.

• Developed a voice-enabled chatbot to inform women of legal rights using Google Speech API and automated daily tasks.

• Implemented a CNN model for disease diagnosis from human cell images, achieving 90%+ accuracy with OpenCV and TensorFlow.

Software Engineer Intern June 2024 – Aug 2024

HackerRank

• Solved 50+ advanced-level DSA problems with a 90% optimality rate, contributing to platform enhancement and test case efficiency.

• Diagnosed and debugged user-submitted code, reducing runtime errors by 20% and improving submission acceptance rates. TECHNICAL SKILLS

Languages: Python, C/C++, JavaScript, HTML, CSS, Sass, SQL, DSA in C++ Libraries/Frameworks: TensorFlow, PyTorch, React.js, Node.js, Express.js, Bootstrap Tools & Platforms: Git, GitHub, Postman, MongoDB, MongoDB Atlas, VSCode Concepts: Data Modeling, Debugging, Design Patterns, Root Cause Analysis PROJECTS

Women’s Rights Voice Assistant YouTube Demo GitHub June 1 – June 21, 2025

• Developed a Python-based voice assistant supporting 15+ commands with 90% accuracy; informed users of women’s legal rights using voice interaction; integrated Google Speech API to reduce execution time by 40%. Efficiency Detector GitHub

May 1 – May 27, 2025

• Developed an AI-based efficiency detector to monitor work-from-home employee productivity using computer vision; integrated a chatbot to automatically assign tasks based on detection results. Country Tour Web App YouTube Video GitHub

Jan 1 – Jan 20, 2025

• Built a React.js web app showcasing data for 200+ countries using REST APIs; implemented caching to reduce API calls by 30% and improve load times by 1.5s; designed an interactive map interface tested by 500+ beta users. Event Manager YouTube Video GitHub

Dec 5 – Dec 17, 2024

• Developed an event management platform with Google Maps integration for 100+ users; reduced form submission errors by 25% through input validation; built a Node.js backend capable of handling 50+ concurrent event creation requests. ACHIEVEMENTS

• Achieved a 5-star rating on HackerRank for C language proficiency.

• Secured top 3 positions in national-level hackathons including SIH and I2I.

• Recognized for presenting one of the top 3 innovative ideas at SIH within the college.

• Finalist in multiple hackathons with consistent participation in competitive coding events.

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