Hi, I'm Lakshay Rathore
Full stack developer passionate about building scalable web applications, multi-step AI pipelines, API orchestration, clean REST APIs, and high-performance backend systems.
Turning Ideas Into Digital Reality
Lakshay Rathore
Full Stack Developer
Available
For Work
Developer & Problem Solver
I'm Lakshay Rathore, a full stack developer at Delhi Technological University. I specialize in building scalable web applications, multi-step AI pipelines, API orchestration, clean REST APIs, and high-performance backend systems.
I recently interned at CCRAS (Central Council for Research in Ayurvedic Sciences) where I engineered METER — a FastAPI and PostgreSQL-based platform for meeting management. I also initiated MultiOCR, a multi-engine OCR system for Sanskrit documents.
When I'm not coding, I'm solving DSA problems, building AI-powered tools like FocusTube — an LLM-powered YouTube playlist study platform, or exploring new technologies.
Technologies I Work With
Languages
Frameworks
Databases / Tools
Core CS
Featured Projects
MultiOCR
Concurrent multi-model OCR ensemble with Sanskrit spelling correction engine over a 360K+ word dictionary, semantic vector search, and error-learning module.
FocusTube
Full-stack platform to convert YouTube playlists into structured courses with AI-generated summaries, quizzes, progress tracking, and a non-destructive playlist sync engine.
Everything Watcher
A self-healing web monitoring platform tracking user-defined targets via natural-language prompts. Features cached CSS selectors, 9 trigger types, and Google OAuth security.
Work Experience
My professional journey building digital products and engineering solutions.
IT Intern
CCRAS (Central Council for Research in Ayurvedic Sciences)
Engineered METER, a FastAPI and PostgreSQL-based web platform for managing meetings, trainings, and events with role-based access, approval workflows, and centralized record management. Implemented 30+ REST APIs supporting 3 user roles, dual-stage approvals, real-time notifications, and video transcription workflows. Initiated MultiOCR, a multi-engine OCR system for Sanskrit and Ayurveda-domain documents.