O

Om Kuklani

Product Manager

Los Angeles, California, United States2 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led product development initiatives at Seagate Technology.
  • Streamlined workflows using advanced collaboration tools.
  • Automated defect-tracking to enhance decision-making.
Stackforce AI infers this person is a Product Management professional with a strong focus on AI and Data Analysis in the Tech industry.

Contact

Skills

Core Skills

Product DevelopmentData AnalysisProduct ManagementData Management

Other Skills

JIRAConfluenceMiroLucidchartPower BIGoogle SlidesPythonExcelKanbanAI-MLOCRHR ManagementAutomationMS ExcelMySQL

About

🎯 I recently completed my Engineering Management Internship at Seagate Technology, where I contributed to product development and process optimization for high-performance storage solutions. I’m actively exploring the intersection of product strategy, data-driven decision making, and emerging technologies. 🚀 Previously, I contributed to AI-powered assistants and virtual collaboration tools as part of my graduate projects. 🎓 I’m pursuing my Master’s in Engineering Management at the University of Southern California (USC). My toolkit spans Python, SQL, Tableau, Power BI, and project management tools like JIRA and GitHub. 🔧 At heart, I’m a problem-solver and systems thinker. Whether it’s drawing swimlane diagrams to simplify complex workflows or calculating the NPV of a multi-year product rollout, I thrive at the intersection of analytics and action. 🏅 I’ve worked on high-impact academic and professional projects, and continue to seek roles where I can contribute meaningfully both as a builder of products and as a bridge between engineering and strategy. 📬 For career conversations, feel free to connect or reach out at kuklani@usc.edu.

Experience

2 yrs 9 mos
Total Experience
1 yr 4 mos
Average Tenure
1 yr 10 mos
Current Experience

Usc information technology services (its)

2 roles

Technical Lead

Oct 2025 – Present · 8 mos · Los Angeles, CA · On-site

Student Technical Assistant

Aug 2024 – Oct 2025 · 1 yr 2 mos · Los Angeles, CA · On-site

Seagate technology

Engineering Management Intern

May 2025 – Aug 2025 · 3 mos · Longmont, Colorado, United States · On-site

  • + Analyzed‬‭ 50+‬‭ customer‬‭ requirements‬‭ using‬‭ Jira‬‭ and‬‭ Confluence‬‭,‬‭ improving‬‭ roadmap‬‭ prioritization‬‭ and‬‭ sprint‬‭ planning‬‭ accuracy‬‭ by‬ 30% through data-driven insights.‬
  • ‭+ Collaborated‬‭ across‬‭ product‬‭,‬‭ firmware‬‭ and‬‭ QA‬‭ teams‬‭,‬‭ streamlining‬‭ 10+‬‭ workflows‬‭ with‬‭ Miro‬‭ and‬‭ Lucidchart‬‭ to‬‭ enhance‬‭ delivery‬ transparency‬‭ and reduce cross-functional misalignment.‬
  • ‭+ Contributed‬‭ PI-based‬‭ sprint‬‭ planning‬‭ using‬‭ Kanban‬‭ methodology‬‭ ,‬‭ authored‬‭ weekly‬‭ executive‬‭ briefs‬‭ and‬‭ dashboards‬‭ via‬‭ Power‬‭ BI‬‭ and‬ Google Slides‬‭ to keep senior stakeholders aligned‬‭ on strategic goals.‬
  • ‭+ Automated‬‭ defect-tracking‬‭ reports‬‭ in‬‭ Python‬‭ and‬‭ Excel‬‭,‬‭ cutting‬‭ manual‬‭ reporting‬‭ time‬‭ by‬‭ 25%‬‭ and‬‭ enabling‬‭ faster‬‭ root‬‭ cause‬‭ analysis‬ for firmware issues enabling QA teams and Product teams to make data-driven decisions.‬
  • ‭
JIRAConfluenceMiroLucidchartPower BIGoogle Slides+4

Training and placement cell, pict pune

Internal Affairs Head

Jul 2023 – Jun 2024 · 11 mos · Pune, Maharashtra, India

  • + Coordinated the placement and internship drive for students at our institute while working with 18 student volunteers, facilitating the interview and test schedules, communicating with the companies and overseeing the recruitment process.

Human inspired ai research - huminspaire

Product Management Intern

Mar 2023 – Aug 2023 · 5 mos · On-site

  • + During my internship at HumInspAIRe, I had the opportunity to work on two flagship projects in the field of Artificial Intelligence and Business Analytics.
  • + My work involved contributing to the development of “QuickTag: An improved OCR-based efficient toll collection system using AI-ML”, which aimed to streamline toll collection using advanced machine learning techniques for license plate recognition.
  • + I also contributed to the “Implementation of mHRM-based practices for automated candidate placement in IT/ITES companies in Pune, Maharashtra”, focusing on automating HR management processes to improve efficiency in talent acquisition.
  • + Throughout the internship, I gained valuable experience in applying AI-ML technologies to real-world business problems, enhanced my research and analytical skills, and successfully completed my tenure.

Pune institute of computer technology

Product Operations Intern

Dec 2022 – Apr 2023 · 4 mos · Pune, Maharashtra, India · On-site

  • + As Head of Operations during my internship, I efficiently managed data processes using MS Excel, MySQL, and data analysis technologies. + My responsibilities included transforming and restructuring old data, optimizing database architecture, and managing data retrieval processes.
  • + I facilitated database communications with the backend team, oversaw ETL processes, supported analysts, and made critical architectural decisions. Additionally, I excelled in data handling, storage, and visualization, while demonstrating strong teamwork and communication skills, contributing significantly to the team's success.
MS ExcelMySQLData AnalysisData Management

Education

USC Marshall School of Business

Graduate Certificate — Product Management

Aug 2025 – May 2026

University of Southern California

Master's degree — Engineering Management

Jul 2024 – Jun 2026

USC Marshall School of Business

Master's degree — Engineering Management

Pune Institute of Computer Technology

Bachelor of Engineering - BE — Computer Engineering

Jan 2020 – Jan 2024

Symbiosis School - India

SSC

Jan 2008 – Jan 2018

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