---
title: "Palak K. - Software Engineer II in Punjab | Tal"
description: "Meet Palak K., Software Engineer II @ Precisely based in Punjab. AI stack includes claude code, github copilot, and kiro."
image: "https://tal.club/meet/palak-kalsi/share-image"
---

# Palak K\. on Tal

## Headline

Software Engineer II @ Precisely

## Location

Punjab

## AI stack

claude code

github copilot

kiro

mcp

openai

claudecode

## Work experience

Software Engineer II at Precisely, Jan 2025 \- Present · 1 yr 10 mos, Noida, Uttar Pradesh, India, 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 \(𝗟𝗜\) 𝗧𝗲𝗮𝗺 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗼𝗻 𝗚𝗲𝗼𝗔𝗱𝗱𝗿𝗲𝘀𝘀𝗶𝗻𝗴 & 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗔𝗣𝗜𝘀 \(𝗦𝗽𝗲𝗰𝘁𝗿𝘂𝗺 𝗦𝗽𝗮𝘁𝗶𝗮𝗹\) › Contributing to high\-precision GeoAddressing and Spatial APIs for geospatial intelligence\. › Developing and optimizing Dockerized microservices for geocoding and routing solutions\. › Enhancing PostGIS\-powered spatial data processing and API scalability\. › Integrating Kafka & Redis for real\-time geospatial event streaming\.

Software Engineer I at Tieto, Jan 2021 \- Dec 2024 · 4 yrs, Remote, 𝗙𝗮𝗰𝗶𝗹𝗶𝘁𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝗖𝗕𝗥𝗘 \(𝗨𝗦\) › Asset Tracking: Cut latency to <4s, boosting efficiency by 30% with Redis & Kafka\. › Maintenance Scheduling: Real\-time APIs reduced downtime by 15%, saving $200K/year\. › Bulk Uploads & Reporting: Enabled 10K\+ daily uploads, improving efficiency by 25%\. › Database Migration: Moved 1M\+ records to RDS for scalability\. 𝗟𝗲𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝗖𝗕𝗥𝗘 \(𝗨𝗦\) › Lease Automation: Managed 50K leases, reducing processing by 40%\. › API Integration: Real\-time updates cut processing time by 25%\. › Payment Automation: Reduced late payments by 20%, increasing on\-time collections by $450K\. › Tech Stack: Java, Spring Boot, Kafka, Redis, AWS RDS, SQL, Docker, Kubernetes\.

Associate Software Engineer at TietoEVRY, Jul 2019 \- Dec 2020 · 1 yr 6 mos, On\-site, 𝗖𝗿𝗲𝗱𝗶𝘁 𝗦𝗰𝗼𝗿𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 – 𝗡𝗼𝗿𝗱𝗶𝗰 𝗕𝗮𝗻𝗸𝘀 › Developed a real\-time credit scoring service, reducing evaluation time by 32%\. › Integrated predictive risk models via external APIs, reducing bad loans by 18%\. › Automated compliance reporting, improving accuracy and eliminating manual errors\. › Built data pipelines with Azure Data Factory, processing 100K\+ daily transactions\. › Tech Stack: \.NET \(Windows Forms, ASP\.NET\), C\#, Angular, Azure, Redis, SQL, Kafka, NER\.

## Education

Engineer’s Degree, Computer Science and Engineering, CHANDIGARH UNIVERSITY

Intermediate, Major in Physics, Chemistry, Mathematics, English and Physical Education, Central Board of Secondary Education

[View the original profile](https://tal.club/meet/palak-kalsi)

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