Kirti Palve — Product Manager

Software Development Engineer with proven experience at Adobe and a strong foundation in full-stack development, cloud computing, microservices, and AI-driven solutions. Currently pursuing a Master of Information Systems Management at Carnegie Mellon University (Dec 2026), with advanced coursework in data structures, algorithms, object-oriented programming, and software engineering. I have engineered, optimized, and delivered scalable solutions that enhance performance, accessibility, and global reach: Engineered an AI-powered video translation microservice, reducing manual translation time by 60% and enabling dubbing/subtitling in 10+ languages. Developed and led the creation of GLaaS Verify, a localization QA platform that improved accuracy and reduced validation time for 100+ internationalized products. Optimized Adobe Express with WCAG-compliant enhancements, increasing accessibility audit scores by 42% and benefiting millions of users. Designed and deployed scalable front-end features that reduced page load times by 20%, improving user experience for global customers. Invented and patented an award-winning Smart Helmet System (TechFest IIT Bombay Winner, Road Safety Hackathon Runner-Up). Core Skills : Java | Python | C++ | JavaScript | TypeScript | React.js | Spring Boot | REST APIs | Cloud Computing (AWS, Azure, GCP) | Microservices | LLD | HLD | Full-Stack Development | Generative AI | Retrieval-Augmented Generation (RAG) | Chatbot Development | Machine Learning | Distributed Systems | Internationalization | Localization | Accessibility (WCAG Compliance) | Agile Development | Git/GitHub | CI/CD I thrive at the intersection of software engineering, AI, and cloud technologies, with a track record of delivering measurable impact in performance, accessibility, and innovation. Open to opportunities in software engineering, AI/ML applications, and cloud-native development.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in AI and cloud technologies.

Location: Pittsburgh, Pennsylvania, United States

Experience: 2 yrs 3 mos

Skills

Algorithm Design
Cloud Computing
Microservices
Full-stack Development
Accessibility
Computer Vision

Career Highlights

Engineered AI-powered video translation microservice.
Led accessibility improvements for Adobe Express.
Invented award-winning Smart Helmet System.

Work Experience

Carnegie Mellon University

Graduate Teaching Assistant (3 mos)

Microsoft for Startups

Partner (3 mos)

Adobe

Member of Technical Staff 2 (6 mos)

Member of Technical Staff (2 yrs)

Product (2 mos)

Virtue Infotek

Backend Developer (2 mos)

Education

Master's degree at Carnegie Mellon University

Bachelor of Engineering - BE at Pune Institute of Computer Technology

at The Bishop's School, Pune

Kirti Palve

Product Manager

Pittsburgh, Pennsylvania, United States2 yrs 3 mos experience

Key Highlights

Engineered AI-powered video translation microservice.
Led accessibility improvements for Adobe Express.
Invented award-winning Smart Helmet System.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in AI and cloud technologies.

Contact

Skills

Core Skills

Algorithm DesignCloud ComputingMicroservicesFull-stack DevelopmentAccessibilityComputer Vision

Other Skills

LeadershipJavaSpring BootRetrieval-Augmented GenerationReact.jsJavaScriptObjective-CC++CryptographyCommunicationObject DetectionComputer GraphicsCompetitive AnalysisProduct ManagementAgile Methodologies

About

Experience

2 yrs 3 mos

Total Experience

2 yrs

Average Tenure

3 mos

Current Experience

Carnegie mellon university

Graduate Teaching Assistant

Feb 2026 – Present · 3 mos · Pittsburgh, Pennsylvania, United States

Prof. Michael J. McCarthy - 95-771: Data Structures and Algorithms for Information Processing
Assess and mentor students on implementations of Merkle trees, Merkle–Hellman knapsack cryptosystems, hashing schemes, and graph algorithms
Enforce strict standards for correctness, security reasoning, and complexity analysis (Big-O, Big-Ω, Big-Θ, amortized)
Reinforce deep understanding of algorithmic tradeoffs, NP-completeness, and computability

LeadershipAlgorithm Design

Microsoft for startups

Partner

Feb 2026 – Present · 3 mos · San Francisco, California, United States · Remote

Microsoft is generously providing us with up to $150,000 in Azure credits and $2500 in OpenAl API credits, and mentorship from Azure Engineers to help us scale.

LeadershipCloud Computing

Adobe

3 roles

Member of Technical Staff 2

Jan 2025 – Jul 2025 · 6 mos · Bengaluru, Karnataka, India

Developed a microservice for Adobe’s video translation pipeline leveraging AI capabilities to support automated dubbing across multiple languages.
Led development of GLaaS Verify, an internal QA interface for localization testing, integrated with the Model Context Protocol (MCP) to standardize context.
Engineered a Jira Ticket Automizer using Retrieval-Augmented Generation (RAG) to analyze FAQs, developer comments and tickets to automatically generate structured Jira issues.

JavaSpring BootMicroservices

Member of Technical Staff

Promoted

Jul 2023 – Jul 2025 · 2 yrs · Bengaluru, Karnataka, India

Developed scalable frontend features for GLaaS, Adobe’s globalization platform, supporting 100+ internationalized products.
Led accessibility improvements on Adobe Express, integrating WCAG-compliant UI enhancements that boosted accessibility audit scores by ~42%.
Collaborated cross-functionally with design, QA, and product teams across time zones (India–US) in an agile environment.

React.jsJavaScriptFull-Stack Development

Product

May 2022 – Jul 2022 · 2 mos · Noida, Uttar Pradesh, India

Contributed to core Photoshop, a product used by 30M+ creatives, by leveraging C++ for computational geometry algorithms (line sweep, R-trees) and computer vision techniques for object-aware alignment.
Conducted user and market research to inform product decisions and competitive positioning.

Objective-CC++Computer Vision

Virtue infotek

Backend Developer

Sep 2021 – Nov 2021 · 2 mos

Built backend from scratch for a transport management platform using Node.js, Express, and MongoDB.
Designed REST APIs, role-based auth, and real-time tracking in a fast-paced startup setup.