---
title: "Suraj Potti - Operations Intern in Greater Bengaluru Area | Tal"
description: "Meet Suraj Potti, Operations & Supply Chain | PGDM (Ops & SCM), Welingkar Institute of Management | Ex-Software Engineer, Ford Motor Company | Process Improvement · Data-Driven Problem Solving based in Greater Bengaluru Area. AI stack includes claude code, claude, and deepseek."
image: "https://tal.club/meet/suraj-potti/share-image"
---

# Suraj Potti on Tal

## Headline

Operations & Supply Chain \| PGDM \(Ops & SCM\), Welingkar Institute of Management \| Ex\-Software Engineer, Ford Motor Company \| Process Improvement · Data\-Driven Problem Solving

## About

I bridge two worlds: 3\+ years building enterprise software at Ford Motor Company, and hands\-on operations experience driving process improvements on the factory floor at Mattel Inc\. At Mattel, I used Pareto analysis on AS\-400 production data to identify a finished\-goods recording gap, retrained material handlers on the fix, and scaled it across 3 plants \- sustaining a zero\-error period afterward\. At Ford, I applied the same root\-cause, data\-first approach to software systems: I extracted and rebuilt a scheduler application that cut startup time significantly, and automated a manual archival process end\-to\-end via CI/CD \- eliminating hours of repetitive work\. I have completed my PGDM in Operations & Supply Chain Management at Welingkar Institute of Management \(2026\), actively seeking roles in Operations, Supply Chain, or Project Management where I can combine process rigor with a builder's instinct for fixing what's broken before anyone asks\. Open to opportunities in Operations Analyst, Supply Chain, and PMO roles\.

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

deepseek

lovable

openai

Gamma

## Work experience

Operations Intern at Mattel, Inc\., May 2025 \- Oct 2025 · 6 mos, Monterrey, NLE, \- Diagnosed a finished\-goods recording gap using Pareto analysis on AS\-400 production data, isolating the root cause behind persistent reporting discrepancies across the plant\. \- Retrained material handlers on corrected recording procedures and redesigned the process to prevent recurrence, sustaining a zero\-error period following implementation\. \- Scaled the corrected process from a single pilot line to Plants B, C, and M \- standardizing production tracking across the full Monterrey operation\. \- Piloted a Vision Sensor camera system for real\-time production recording, reducing manual data\-entry errors and laying groundwork for automated reporting\. \- Partnered with cross\-functional plant teams \(production, quality, IT\) to translate a shop\-floor Industry 4\.0 initiative into a repeatable, multi\-site standard\.

Software Engineer \- HTHD at Ford Motor Company, Apr 2022 \- Sep 2023 · 1 yr 6 mos, Chennai, \- Built a rules\-based combination engine to auto\-generate feasible Product/Model/Family/Feature configurations for a given Program, replacing manual configuration checks with a repeatable, auditable process\. \- Integrated the solution with Ford's Team Center PLM system, ensuring configuration logic stayed aligned with live product data \- improving accuracy and reducing rework for downstream teams\.

Software Engineer at Ford Motor Company, Jul 2020 \- Apr 2022 · 1 yr 10 mos, Tamil Nadu, India, \- Identified and closed a performance bottleneck in a core enterprise application by researching and benchmarking an alternative data\-interchange format \(SDIF\) against the legacy standard\. \- Delivered a 30% reduction in processing time and up to 60% reduction in memory usage, driving the team's adoption of the new format — a data\-driven efficiency win with direct infrastructure cost impact\. \- Independently designed and built a replacement scheduling system \(Spring Boot\) after identifying failure points in the legacy scheduler, cutting application startup time and improving system reliability\. \- Exposed the new scheduler through a monitoring interface \(JMX\), giving non\-technical stakeholders self\-service visibility and control — reducing dependency on engineering for routine task management\. \- Automated a manual, error\-prone deployment process by building a CI/CD pipeline \(Jenkins\), eliminating repetitive manual work and shortening release cycles\.

Intern at Cognizant, Feb 2020 \- Jun 2020 · 5 mos, India, Worked on projects pertaining to Data Analytics using software\(s\) Tableau, Qlik, PowerBI

Software Intern at KC COTTRELL INC\., Sep 2019 \- Jun 2020 · 10 mos, Chennai, Tamil Nadu, Developed a whole new Timesheet and Opportunity Management System, tailored to the requirements of the organization\.

Internship Trainee at Bharat Sanchar Nigam Limited, May 2018 \- Jun 2018 · 2 mos, Tinsukia Area, India

## Education

PGDM EBiz, IT Management, Welingkar Institute of Management

B\. Tech, Computer Science and Engineering, SRM IST Chennai

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

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