Aditya Kumar.
Full-Stack & AI Developer
Full-Stack & AI Developer with experience building scalable, production-grade applications and optimizing system performance. Skilled in designing real-time systems, integrating LLM-based systems using OpenAI APIs and retrieval-based architectures into modern web architectures, and delivering end-to-end products from ideation to deployment. Strong foundation in DSA, system design, and API development.
Work Experience
Web Application Developer Intern
Larsen & Toubro (L&T)
Architected and deployed a scalable Campus Gateway system serving 500+ employees at 99.9% uptime; engineered high-performance MySQL queries with connection pooling cutting latency by 65% (3.2s → 1.1s). Optimized backend deployment on IIS/Hyper-V virtualized environments; efficient database indexing strategies for performance at scale.
Freelancer — Full-Stack & AI Developer
Upwork
Delivered 5+ production-grade full-stack applications with 100% client satisfaction; managed complete SDLC across EdTech and SaaS domains. Built AI-integrated dashboards, data visualization interfaces, and workflow automation tools.
Skills
Projects
UniEd — AI-Powered Education Platform
Architected and deployed full-stack edtech platform with role-based AI dashboards for real-time attendance, grading, and business intelligence analytics — production-ready on GCP. Designed scalable real-time architecture using WebRTC + Socket.IO for live lectures and messaging; implemented AI assessment tutor via RAG pipeline + LLM APIs delivering automated personalized feedback.
FolioX — AI-Powered Portfolio Insights
Implemented a sophisticated Agentic Workflow using Claude 3.5 Sonnet to audit portfolios for cost-drag (expense ratios) and redundancy, generating professional-grade PDF reports via ReportLab.
SyncRide — GenAI-Powered Travel Assistant
Built real-time travel assistant integrating OpenAI APIs with live transport data for delay prediction and route optimization; developed REST APIs bridging LLM backend to React frontend. Designed bilingual (Hindi/English) conversational AI using RAG architecture; targeting 5–15% reduction in missed buses.
Education
B.Tech — Computer Science & Engineering
Lovely Professional University, Phagwara, Punjab
Relevant Coursework: DSA, DBMS, OS, Computer Networks, System Design, React, Node.js
Intermediate (12th)
New Standard Public School, Rae Bareli, Uttar Pradesh
90%