Mokshit Shah
@mokshitshah
I am a Full-Stack Developer specializing in React, Node.js, and scalable web applications.
What I'm looking for
I am a Full-Stack Developer with a B.Tech in Computer Science (GPA 3.88) and specializations in AI, ML, NLP, and computer vision.
I build scalable web applications using React, Node.js, TypeScript, and MySQL, delivering production-ready features across frontend and backend stacks.
At CerebralZip I developed a video analytics system with uploads, thumbnail previews, timeline-synced bounding-box tracking, and object-focused interfaces. Previously at E-Revbay I architected backend APIs and Excel automation that improved operational efficiency by 92% for finance teams.
I enjoy solving frontend and backend challenges, optimizing performance, and turning complex requirements into intuitive interfaces; my portfolio demonstrates live projects and full-stack implementations.
Experience
Work history, roles, and key accomplishments
Web Developer
CerebralZip
May 2025 - Present (3 months)
Developed a video analytics system with uploads via local files, DVR, or webcam, including case listing and thumbnail previews. Implemented bounding-box detection with timeline-linked playback and synced object selection for precise tracking in videos.
Frontend Developer
AcceleratBSi
Jun 2024 - May 2025 (11 months)
Built mobile-responsive components and enhanced UI/UX using Next.js and TailwindCSS across multiple projects. Fixed bugs, improved reliability and performance, and contributed to full-stack features with Node.js and MySQL.
Software Developer Intern
E-Revbay Private Limited
May 2023 - Sep 2023 (4 months)
Created a performance-analysis and target-management portal that boosted operational efficiency by 92% for finance teams. Architected backend APIs with Node.js, Express and ExcelJS for advanced Excel handling, and implemented payout invoice generation with email triggers and logs.
Application Developer Intern
CBIA
Jan 2022 - Jun 2022 (5 months)
Leveraged Azure Cognitive Services Text Analytics within a C# .NET MVC framework to deliver language detection, sentiment analysis, key-phrase extraction, and named entity recognition. Designed an intuitive UI enabling users to input text or analyze PDFs for seamless text analytics.
Education
Degrees, certifications, and relevant coursework
NMIMS Mukesh Patel School of Technology Management and Engineering
Bachelor of Technology, Computer Science
2018 - 2024
Grade: 3.88/4
Completed B.Tech in Computer Science with specialization in Artificial Intelligence, Machine Learning, Natural Language Processing, and Computer Vision; graduated in May 2024 with a 3.88/4 GPA.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
portfolio-mokshit.netlify.appJob categories
Skills
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