Palak Bhushann

About Palak Bhushann

I’m Palak Bhushan, a Software Engineer with expertise in scalable SaaS development, AI-driven applications, and cloud-native deployments. Skilled in Node.js, React, MongoDB, and AWS, I focus on building reliable systems that optimize workflows and deliver measurable results.I have led and delivered end-to-end projects, including: • Expense Management System – automated reimbursements with intelligent allowance logic, reducing errors by 25%. • Leave & Attendance Management – improved tracking workflows, cutting approval times by 30%. • In-App Notification Service – built with Node.js, Redis, and Sequelize, enabling multi-channel communication (Email, SMS, WhatsApp, Push) and reducing manual follow-ups by 30%.Beyond SaaS, I design AI-powered solutions such as: • Chatbots for customer interaction. • Retrieval-Augmented Generation (RAG) pipelines for intelligent document handling. • Agentic AI systems to automate decision-making and workflows.On the infrastructure side, I specialize in optimization and scalability, designing robust systems that handle thousands of concurrent requests without compromising reliability. I deploy secure, high-availability environments using AWS (Lambda, S3, SQS, EC2 with SSL), Docker, and Nginx. I have also automated reporting pipelines that eliminated 90% of manual effort and optimized APIs to improve performance by 25%.I thrive in building efficient, reliable, and intelligent systems that create business impact.Always open to collaborations and opportunities, feel free to connect here or reach me at p••••••••@gmail.com.

Experience

1. Software Engineer

   Progcap

   Jun 2024 — Present · New Delhi, IN

   Owned and led backend architecture and development, collaborating closely with frontend teams to deliver scalable, high-performance SaaS solutions. Optimized tenant-level pricing, inventory sync, and API performance, improving overall efficiency by 20–25%. Designed and implemented an in-app notification service (Node.js, Sequelize, Redis) with scheduled and API-based triggers, reducing manual follow-ups by 30%. Automated key reports and dashboards, cutting 90% of manual effort. Enhanced reimbursement workflows through dynamic allowance logic, reducing errors by 25% and approval times by 30%. Led end-to-end development of major SaaS modules — Leave Management, Expense Management, Communication Microservice, and Sales Tracking — enabling multi-channel notifications with dynamic templates and robust backend integration.

Education

• D.K. CARMEL RESIDENTIAL HIGH SCHOOL

  X

• Jagjiwan College

  XII

• Lovely Professional University

  Bachelor of Technology