SAHIL ANAND

Ahmedabad, IN.

About

Work

Canny Next Infotech
|

Associate Software Engineer

Highlights

Developed custom ERP payroll system using Remix, TypeScript, & Supabase, handling employees with multi-industry compliance.

Automated generation of payroll documents (salary slips, offer letters, compliance forms) and statutory reports (PF/ESIC/TDS) with 95% forecast precision, alongside bank-ready Excel files for disbursements.

Used Redis for caching queries resulted in a reduction of the response time by 60%.

Evoort Solutions
|

Software Development Engineer

Highlights

Built auction system using NodeJs, Redis, BullMQ, and PostgreSQL, supporting 1000+ users across 50+ concurrent auctions. Implemented multithreaded bid processing with message queues, reducing latency by 55% under peak load. Designed a modular auction engine that enabled influencers to host unlimited auctions.

Optimized PostgreSQL queries and schemas, improving auction throughput by 60%. Integrated automated logistics for product delivery post-auction, streamlining operations and reducing manual intervention by 80%.

Built a dynamic Shopify theme application, allowing merchants to customize form fields to cater forms to their customers. Implemented premium cloud storage feature using Azure, Google Drive and Dropbox APIs with Avalara Tax Compliance services that generated $40 per month revenue from each vendor.

Education

Pandit Deendayal Energy University

Bachelor of Technology

Computer Science

Grade: 9.04

Courses

Data Structures and Algorithms

Operating Systems

DBMS

Computer Networks

Awards

ICPC Chennai Regional Contest

Awarded By

ICPC

Secured 57th place

Skills

Languages

Javascript, TypeScript, Java, C, C++, SQL.

Frameworks & Technologies

HTML, CSS, ReactJS, NodeJS, ExpressJS, NextJS, RemixJS, MongoDB, Mongoose, MySQL, Tailwind, Git, Supabase, Postman, Cloudinary, Google Cloud, Google Ai Studio, Redis, BullMQ.

Projects

AI SaaS Platform

Summary

Developed an AI-powered SaaS platform featuring advanced context-based search with image transformations like restoration, recoloring & background removal by leveraging Cloudinary's AI services. Improving search speed by 30% and reducing image processing time by 40% using Mongoose Caching.