Ujjwal Gupta
@ujjwalgupta2
Full-stack developer specializing in AI-driven web apps and scalable React/Next.js architectures.
What I'm looking for
I am a full-stack developer and tech lead focused on building AI-driven, user-centric web applications and scalable backend systems.
At EventsApt I built and now lead an AI-driven event planner using Next.js for SEO-optimized UI, Node.js backend, Socket.IO for real-time chat, and MongoDB to support scalable data for up to 50,000 users; I am also developing a BERT-based recommender to boost personalization. Earlier, as a Frontend Developer at EmployeeX I converted Figma designs into interactive React.js pages, cutting loading time by 33% and integrating Python/Flask APIs while optimizing the codebase.
My projects include Word Sense Disambiguation (applying BERT, Word2Vec, Lesk and WordNet for contextual understanding), a MERN-based Hostel Management App with complaint dashboard and automated email alerts, and a MERN job portal integrating Hugging Face scoring, Firebase auth, and Google Sheets automation. I focus on practical ML/NLP applications and robust full-stack implementations.
I have a strong competitive-programming and academic background and enjoy leading engineering work that combines ML and web at scale; I look for roles where I can drive product impact and mentor teams while continuing to deepen my ML and systems skills.
Experience
Work history, roles, and key accomplishments
Tech Lead - Full Stack and ML Developer
EventsApt Pvt Ltd
May 2025 - Present (4 months)
Leading development of an AI-driven Event Planner platform using Next.js and Node.js, integrating Socket.IO and MongoDB to support up to 50,000 users. Building BERT- and K-Means-based recommender and contextual filtering to improve personalization.
Frontend Developer
EmployeeX
May 2024 - Jul 2024 (2 months)
Converted Figma designs into cross-platform React.js pages, reducing loading time by 33% and redesigning pages to cut codebase size by 5%. Integrated Python/Flask APIs to handle multi-user responses and improve backend integration.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology (BHU) Varanasi
Integrated Dual Degree, Mathematical Sciences
Grade: 8.84
Pursuing an Integrated Dual Degree in Mathematical Sciences with a CGPA of 8.84, expected graduation in 2027.
SAC, Lucknow
Indian School Certificate (ISC), Class XII (ISC)
Grade: 94.00%
Completed Indian School Certificate (Class XII) at SAC, Lucknow with 94.00% in 2022.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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