Anurag Moudgil

Software Engineer

Patiala, Punjab, India6 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led modernization of Acrobat/Reader desktop UI.
Integrated AI-powered tools enhancing user productivity.
Developed innovative touchless interaction models for mobile devices.

Stackforce AI infers this person is a SaaS and Mobile Technology expert with strong capabilities in AI and UI development.

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Skills

Core Skills

Desktop Application DevelopmentArtificial Intelligence (ai)Ui ModernizationWorkflow AutomationSoftware DevelopmentMicroservicesResearch And DevelopmentMachine LearningAndroid Development

Other Skills

C++ReactAIPDF ToolsAdobe SpectrumJavaPythonElasticsearchKibanaREST APIsDeep LearningAndroidArchitecture ReviewsAgile MethodologiesCode Review

About

Graduated with a Bachelor of Engineering in Computer Science from Thapar Institute of Engineering and Technology. Currently serving as a Member of Technical Staff-2 at Adobe, specializing in the Acrobat/Reader Desktop platform. Core competencies include AI integration, UI modernization with Adobe Spectrum and workflow automation. Significant contributions include resolving critical bugs, enhancing PDF workflows, and streamlining cross-product functionalities to improve user engagement. At Adobe, contributed to enhancing user productivity by integrating AI-powered PDF tools and improving cross-product workflows, resulting in measurable user experience improvements. Passionate about leveraging technology to solve critical user challenges, fostering collaboration across teams, and aligning efforts to support innovative organizational goals. Dedicated to delivering impactful solutions that reflect a commitment to efficiency and user satisfaction.

Experience

6 yrs 11 mos

Total Experience

2 yrs 3 mos

Average Tenure

3 yrs 10 mos

Current Experience

Adobe

SDE-2

Aug 2022 – Present · 3 yrs 10 mos · Noida, Uttar Pradesh, India

● Acrobat/Reader Desktop
Led large-scale modernization and revamp of Acrobat/Reader desktop UI using C++ & React, aligning with Adobe Spectrum guidelines and supporting full production rollout.
Resolved customer-blocking issues under strict SLAs by performing deep root-cause analysis, reducing critical bug backlog by 35%
Integrated Adobe’s photo viewing application into Acrobat and Reader, driving an 11% increase in Adobe Express MAU.
Designed and shipped AI-powered PDF Actions in Acrobat Assistant, enabling dynamic and user-driven workflow automation.
Updated Acrobat’s printing pipeline by integrating IPP and WinRT API support, fixing critical issues in legacy and sandboxed printing workflows.
Built proof-of-concepts (Express SDK standalone window, Windows RCM integrations) and to evaluate new user engagement surfaces and later drive it to production.
● Tech Stack & Tools
○ C++, C, Python, React, Typescript, Copilot, Git, Jira, CEF, RNA APIs, Jenkins, Data Structures, Algorithms, Multithreading, Operating Systems, Desktop App Development, Windows Platform, Mac OS, Design Patterns, System Design (LLD)

C++ReactAIWorkflow AutomationPDF ToolsDesktop Application Development+1

Turvo inc.

Software Engineer

Sep 2021 – Aug 2022 · 11 mos · Hyderabad, Telangana, India

● Connect Integrations
Responsible for designing, developing, integrating, scaling and maintaining LineageAdapter service which processes incoming & outgoing payload orders for Lineage Warehouse Systems with our central Connect service.
Built an end-to-end real-time monitoring and alert pipeline by integrating Elasticsearch/Kibana log analysis with Slack and Outlook APIs for automated failure notification & significantly improved it.
Redesign the payload’s JSON structure due to storage limitations, complexity, duplicate entities and processing power by reducing the size by 30%.
● Tech Stack & Tools
Java, Python, Spring, Git, Jira, MySQL, RabbitMQ, Redis Cache, MongoDB, Elasticsearch, REST APIs, Microservices, Jenkins, Data Structures, Algorithms, Design Patterns, System Design (LLD & HLD)

JavaPythonElasticsearchKibanaMicroservicesSoftware Development

Samsung electronics

Research And Development Engineer

Jul 2019 – Sep 2021 · 2 yrs 2 mos · Noida Area, India

● System Performance and Analysis: Developed and maintained internal tools to automate the initial analysis of android crash logs. Responsible for OS specific changes in Android’s ‘system server’ and porting new OS to old models whilst retaining performance stats.
● Android Graphics: Contributed to the Android OS upgrade and integrated graphics related security patches in Samsung phones with Qualcomm chipsets and fixed graphics rendering bugs.
● AirTouch: AirTouch is a Neural Network based real-time, on-device inferencing object detection model embedded in an android background service which allows touchless usage of the mobile phones without using any additional hardware device and harnesses the best performance on high-end mobile devices with GPUs.
● Android NN: Research and study various Android NN APIs like Google’s TFlite API, Qualcomm’s Neural Processing SDK and provide solutions to improve Samsung’s SNAP API architecture and performance limitations.
● Eraser: Remove dynamic objects in camera preview with crowded backgrounds by streaming frames and overlapping them using GANs. Provide the users suggestive outlines in UI to remove static objects from the clicked picture using object segmentation.
● Tech Stack & Tools
○ C++, Python, Machine Learning, Deep Learning, Tensorflow Object Detection API, Android, Image Processing, Data Structures & Algorithms, Operating Systems, Data Analytics.

C++PythonMachine LearningDeep LearningAndroidResearch and Development

Samsung r&d noida

Machine Learning Intern

Jan 2019 – May 2019 · 4 mos · Noida Area, India

● AirTouch: AirTouch is a deep-learning neural network based real-time, on-device inferencing object detection model embedded in an android background service which allows touchless usage of the mobile
phones without using any additional hardware device.
● Tech Stack - Machine Learning, Deep Learning, Data Analytics, Android, Python

Machine LearningDeep LearningPython