About Me
Software Engineer with 1+ year of hands-on experience in automating, developing backend and frontend applications.
Experience
Backend Engineer
<p>Built email verification APIs using Python programming and Django REST Framework, integrating third-party verification APIs with multi-step SMTP validation logic.<br>
Implemented asynchronous background processing using Celery for bulk jobs, retries, and cleanup.<br>
Applied rate limiting, and API debugging to improve system reliability.</p>
Backend Engineer
Built email verification APIs using Python programming and Django REST Framework, integrating third-party verification APIs with multi-step SMTP validation logic., Implemented asynchronous background processing using Celery for bulk jobs, retries, and cleanup., Applied rate limiting, and API debugging to improve system reliability.
Full Stack Web Developer
<p>Developed server-side rendered web features using Python, Flask with Jinja templates, HTML, CSS, and JavaScript.<br>
Implemented authentication features including OTP flows and Google OAuth-based signup and login.<br>
Used Git and GitHub for version control, branching, and collaborative development.</p>
Full Stack Web Developer
Developed server-side rendered web features using Python, Flask with Jinja templates, HTML, CSS, and JavaScript., Implemented authentication features including OTP flows and Google OAuth-based signup and login., Used Git and GitHub for version control, branching, and collaborative development.
PROJECTS
Class Access - Al Powered Classroom Platform
<p>• Built Python REST APIs with JWT authentication and role-based access control (RBAC). </p><p>• Integrated Supabase storage with signed URLs for file upload and access management.</p><p>• Implemented RAG pipeline enabling semantic search, page-level retrieval, chunking, and embedding-based retrieval using cloud-based vector storage for scalable AI workflows.</p><p>• Built an LLM-powered question answering system with text preprocessing and metadata handling, solving low-context retrieval issues and achieving 3× faster RAG processing per PDF.</p><p>• Improved system performance and reliability using Redis caching, rate limiting, background jobs, and Docker based deployment on Render and Vercel.</p>