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Software Developer with less than a year in Full Stack Development & Machine Learning.
Highly motivated and detail-oriented professional with 0.5 years of experience as a Software Developer Intern. Proficient in a wide range of programming languages including Java, Python, JavaScript, and Go, with hands-on experience in developing and maintaining responsive front-end interfaces using HTML, CSS, JavaScript, and Next.js. Skilled in implementing RESTful APIs, building full-stack applications with React, Node.js, Express, and MongoDB, and developing machine learning-based systems. Passionate about applying technical skills to create innovative and user-centric software solutions, demonstrated through diverse projects in ride-hailing platforms, real-time system monitoring, and facial recognition.
Graphic Era University, Dehradun
MCA · Computer Applications
August 1, 2023 – June 30, 2025
GLA University, Mathura
BCA · Computer Applications
August 1, 2020 – June 30, 2023
Digitayal Consultancy
Intern at Digitayal Consultancy SDE
February 1, 2025 – June 1, 2025
Gandhinagar, Gujarat, India
Uber-Full-Stack Ride-Hailing Platform
July 1, 2025 – June 1, 2026
* Built an Uber-like ride-booking web app with React, Node.js, Express, Socket.io, and MongoDB, supporting real-time ride requests and OTP-based verification. * Designed secure JWT authentication and modular RESTful APIs for users, captains, rides, and geolocation services (distance, ETA, and fare calculation) * Implemented real-time updates via Socket.io and integrated interactive maps for location suggestions, pickups, and dynamic fare estimation
View ProjectReal-time System Monitoring
April 1, 2025 – June 1, 2026
* Implemented real-time system monitoring using Node.js native modules, detecting multiple displays, screen-sharing applications, and USB keyboard devices. * Successfully delivered multiple end-to-end software solutions, adhering to best practices in software development and version control * Built and deployed desktop and web applications focused on security, real-time data processing, and user experience.
View ProjectFace Login System with Streamlit-Docker
December 1, 2024 – December 1, 2024
* Developed a facial recognition-based login system using Streamlit, integrating machine learning and computer vision for secure authentication. * Implemented advanced face recognition techniques with libraries such as OpenCV, dlib, and FaceNet to enhance accuracy and reliability * Designed an intuitive and responsive user interface with Streamlit, improving accessibility and user experience.
View ProjectMachine Learning Operations for Generative AI
Google Cloud Skills Boost
June 1, 2026 – Present
Machine Learning Operations (MLOps) With Vertex AI
Unknown
June 1, 2026 – Present
Cybersecurity Analyst Job Simulation
Forage
June 1, 2026 – Present
AI Engineer
Oneroadmap
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a full-stack ride-hailing platform, real-time system monitoring, and a face login system, indicates a broad interest in different technical domains. The target role is 'Software Developer', which aligns well with the full-stack and application development experience. The certifications in MLOps and AI engineering suggest a proactive approach to learning and staying current with emerging technologies. The extracurricular activities, such as participating in a UI Design Hackathon and solving coding problems on LeetCode, demonstrate initiative and a drive for continuous improvement, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate lists strong communication, interpersonal skills, leadership, flexibility, teamwork, active listening, time management, problem-solving, and debugging as soft skills. While these are valuable, there is no direct evidence from the provided data (e.g., interview transcripts, peer reviews) to validate these claims. The project descriptions indicate an ability to deliver end-to-end solutions and collaborate, which aligns with operational fit, but the depth of collaboration and problem-solving in a team setting is not explicitly detailed.