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Software Developer with less than a year in Full Stack Development & AI/ML.
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Om Ravindra Sahare is an aspiring Software Developer Intern with 6 months of experience at Tata Steel, specializing in front-end development using Angular, TypeScript, and RxJS. With a strong foundation in full-stack technologies like React, Node.js, Express.js, and MongoDB, Om has also integrated AI/ML models into projects to enhance functionality. He is a proactive hackathon participant with strong algorithmic thinking demonstrated by solving 400+ LeetCode problems, focusing on building scalable and responsive web applications.
Yeshwantrao Chavan College of Engineering
B.Tech · Computer Science and Engineering (IoT)
August 1, 2022 – June 30, 2026
Tata Steel
Software Developer Intern
January 1, 2026 – Present
India
Streamify – Real-Time Video Calling, Chat, and Social App
January 1, 2024 – Present
Built a real-time video calling and chat web application using MongoDB, Express.js, React.js, and Node.js. Implemented WebRTC for high-quality video/audio communication and Socket.IO for instant messaging. Designed a responsive and modern UI using Tailwind CSS for smooth cross-device performance. Integrated secure user authentication to ensure privacy and safe interactions within the platform. Impact: Enhanced digital connectivity by enabling secure, real-time communication and fostering social interaction across users.
View ProjectPlayPoint - Online Turf Booking System
January 1, 2024 – Present
Developed a MERN stack web application for seamless turf booking and management. Implemented real-time slot availability, secure user authentication, and instant booking confirmation features. Designed a responsive and intuitive interface using Tailwind CSS to ensure smooth navigation and efficient turf scheduling. Impact: Simplified sports facility management and improved user convenience through automated, real-time turf booking.
View ProjectMediGuard – Drug Interaction System
January 1, 2024 – Present
Developed a full-stack web application to detect and prevent harmful drug interactions by analysing user prescriptions against a medical drug database. Integrated a machine learning model to enhance interaction detection accuracy and promote patient safety. Implemented a secure, responsive interface supporting real-time analysis, automated alert generation, caregiver accessibility, and efficient management of patient health records. Impact: Helps reduce adverse drug reactions, supports safer prescriptions, and improves overall healthcare outcomes.
View ProjectCultural Fit Analysis
The candidate's involvement in diverse projects (healthcare, real-time communication, booking systems) and hackathons suggests a proactive, innovative, and team-oriented mindset. The breadth of technologies used (Python, Java, JavaScript frameworks, ML) indicates a willingness to learn and adapt, which aligns well with dynamic team environments. The current internship at Tata Steel also suggests an ability to work in a structured corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse applications, suggesting adaptability. Collaboration is mentioned in the internship description. The focus on user experience and secure authentication in projects points to a user-centric and responsible approach. However, specific soft skill assessments are not available.