Backend Development Projects in Chandigarh
Backend Development Projects in Chandigarh
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Shriya Gupta
pro
Marketing Landing Page-UI/UX design
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6
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Mohit Singla
Business Listings & Deals Management Platform (GraphQL APIs) Built a scalable platform for managing businesses, outlets, and promotional deals with complex relationships. • Designed GraphQL APIs using NestJS • Built business → outlet → offer data structure • Developed admin APIs for dashboards and management • Implemented time-based deals and offer logic • Optimized queries for high-performance data retrieval Tech: Node.js, NestJS, MongoDB, GraphQL APIs
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32
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Kishan Chauhan
Cokora - Parent Consulting Platform
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26
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Harshit Vashisht
Cluttr
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1
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Aakash Aggarwal
Customer Support AI Assistant (RAG Pipeline) Built a Retrieval-Augmented Generation (RAG) system to support customer-facing queries by grounding AI responses in internal documentation and knowledge bases. The system ingested structured and unstructured support content, generated embeddings, and retrieved relevant context at query time to produce accurate, consistent answers rather than generic model responses. The focus was on building a simple, maintainable pipeline with clear data flow and traceability, making it easy to debug incorrect answers, update knowledge sources, and iteratively improve response quality as documentation evolved.
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30
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Nikhil Garg
Jacana Warranty — WordPress Claims Portal & CRM Integration
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Sourabh Garg
Ongoing Shopify Maintenance & Optimization for BlueandCream.com
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2
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Nitish Sharma
Suptho | Earn Crypto for Sharing Location Data
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4
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Deepak Kumar
Pandorabiz - E Commerce
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Abhiraj Singh Chatrath
MealToGo Launch
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11
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Kulbhushan Rana
Overbooked Application Development
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Mohit Sharma
KarmaPlay
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1
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Kishan Chauhan
Treegreens - Ecommerce Grocery Shopping
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21
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Aakash Aggarwal
Automated AI Document Extraction & Classification Pipeline Built a fully automated document processing pipeline to replace manual review and data entry of logistics documents such as invoices and bills. The system ingested uploaded documents, stored them in object storage, and triggered asynchronous AI workflows via message queues to extract required fields, classify document types, and persist structured outputs directly into the database. The pipeline was designed for high throughput and reliability, eliminating human intervention entirely and significantly accelerating business operations by turning unstructured documents into validated, structured data at scale.
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30
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Nikhil Garg
GetCover — Insurance Quoting & Policy Management Platform
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Gunjan Garg
CodeRun (Real-time compiler)
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