Yash Patkar

Yash Patkar

Software Engineer
India
Marathi, Hindi, English

نبذة عني

Software Engineer with 1+ year of hands-on experience in automating, developing backend and frontend applications.

الخبرة

Backend Engineer

Kuvaka Tech (Remote)
Jun 2025 - Jul 2025 · 1 شهر

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.

Backend Engineer

Kuvaka Tech
Jun 2025 - Jul 2025 · 30 أيام

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

Levaze Digital (Remote)
Apr 2024 - Jun 2024 · 2 أشهر

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.

Full Stack Web Developer

Levaze Digital
Apr 2024 - Jun 2024 · 2 أشهر

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.

المشاريع

Class Access - Al Powered Classroom Platform

المدة : 31-Dec-2025 - 01-Feb-2026

• Built Python REST APIs with JWT authentication and role-based access control (RBAC). • Integrated Supabase storage with signed URLs for file upload and access management.• Implemented RAG pipeline enabling semantic search, page-level retrieval, chunking, and embedding-based retrieval using cloud-based vector storage for scalable AI workflows.• 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.• Improved system performance and reliability using Redis caching, rate limiting, background jobs, and Docker based deployment on Render and Vercel.

المهارات

بوتستراب أوراق الأنماط المتتالية (CSS) جافا لينكس ماي إس كيو إل بوستجريس كيو إل بايثون (لغة برمجة) جانغو (إطار عمل) فلاسك (إطار عمل لتطبيقات الويب باستخدام Python) منصة GitHub للتعاون على تطوير البرمجيات جافا سكريبت إدارة علاقات الكائنات ريأكت جي أس (إطار عمل لتطوير واجهات المستخدم) ريديس (قاعدة بيانات) فيو جي إس لغة البرمجة C/C++ دوكر إكسبريس.جي إس نود جي.إس Django REST Framework FastAPI Celery SQLite HTML Tailwind CSS Jinja Templates Git Postman Render Vercel AWS (Basic) REST APIs Authentication (JWT) Query Optimization Schema Design Rate Limiting RAG LlamaIndex Vector Search LLM Integration AWS JWT
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