Neelima Agarwal

Software Engineer

Redmond, Washington, United States6 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over 8 years of experience in full stack development.
  • Proven track record of optimizing software performance.
  • Expertise in machine learning and software lifecycle management.
Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS and performance optimization.

Contact

Skills

Core Skills

Software DevelopmentJavaMachine LearningPerformance Optimization

Other Skills

REST APIsPythonMicrosoft AzureC++Architectural DesignAzure AI FundamentalsSoftware Development Life Cycle (SDLC)Large Language Models (LLM)MultiprocessingMicrosoft Azure Machine LearningNatural Language Processing (NLP)Kusto Query Language (KQL)MSSQLData StructuresAlgorithms

About

A full stack developer and programming enthusiast with more than 8 years experience in IT industry and knowledge in various front end and back end technologies. As a developer I am self driven, quick learner, likes to take up challenges and solve problems. As a professional I am naturally passionate about software development and an endless engaging career.

Experience

6 yrs 2 mos
Total Experience
2 yrs
Average Tenure
3 yrs 1 mo
Current Experience

Microsoft

2 roles

Software Engineer

Jun 2025Present · 1 yr · On-site

Software Engineer

Feb 2023May 2025 · 2 yrs 3 mos · On-site

  • 360 Feedback Project
  • 1. Enabled the migration of 283 LinkedIn Glint customers to Microsoft Viva Glint, unlocking $32M in annualized revenue.
  • 2. Automated the translation upload process across 75 languages, reducing a manual 2-hour per language task to a self-serve workflow, saving ~150 customer support hours per upload cycle.
  • 3. Optimized subject import parsing, reducing processing time from 4 hours to 3 minutes for 35,000 subjects, improving application responsiveness.
  • 4. Developed privacy policy upload functionality, allowing companies to customize policies, unblocking 350 customer migrations and securing $20M in revenue.
  • 5. Improved localization efficiency by optimizing 11 email macros, saving $130K per macro while enhancing translation accuracy.
  • 6. Led the migration of Smartling translation services across LinkedIn Glint and Viva Glint, achieving $280K in annual savings by consolidating translation jobs.
  • 7. Designed and implemented DFDs, Threat Models, and privacy reviews, ensuring security and compliance for seamless feature deployment.
  • 8. Managed the end-to-end software lifecycle, from design and implementation to security reviews and stakeholder demos, ensuring high-impact, customer-centric solutions.
  • 9. Worked on LLMs in a hackathon to convert natural language to SQL, enabling chatbot-based report generation from user queries.
JavaREST APIsSoftware Development

Meta

Software Engineer

Nov 2022Jan 2023 · 2 mos · Toronto, Ontario, Canada

Microsoft

Software Engineer

Sep 2020Oct 2022 · 2 yrs 1 mo · Hyderabad, Telangana, India

  • 1. ML Model Optimization for Verbatim Performance
  • Improved the Fast Escalation (FE) model by integrating conversation data, increasing precision by 45% and recall by 60%, exceeding OKRs.
  • Optimized data fetching, processing, and inferencing using SQL indexing and multiprocessing, reducing Time to Escalate (TTE) and improving customer satisfaction, contributing to OED/S500 business growth.
  • 2. Fast Escalation Service Migration
  • Led the service migration to Amplify, improving model predictions and data access while ensuring compliance.
  • Managed code, infrastructure, security, and database updates, working with Amplify teams and PMs for a seamless, downtime-free transition.
  • Implemented subscriptions, replicas, and pipelines, completed 1CS assessments, resolved security vulnerabilities, and upgraded packages to ensure system integrity and support OED/S500 business growth.
  • 3. Business Rule Engine (BRE) Service Enhancement
  • Developed BRE Updated Copy Discussion functionality, automating troubleshooting details and escalation tips, reducing manual efforts and improving customer satisfaction.
  • Enabled automated testing for BRE rules, proactively identifying Unicode character issues during rule publishing, enhancing development efficiency and SRE team effectiveness.
  • Recognized by stakeholders for the impact on operational efficiency.
  • 4. Hackathon Contributions
  • Developed the S360 Notification System and Lockbox Notification System using Logic Apps, ensuring timely SLA compliance and improving engineering productivity.
  • Built a Customer Feedback Management Portal with sentiment analysis and Q&A capabilities and a Teams App to centralize shared media, enhancing collaboration and efficiency.
  • Created ML Model Explainers, providing actionable insights into model performance for better decision-making.
  • Recognized as Hackathon Runner-Up for innovation and impact.
PythonMicrosoft AzureMachine LearningSoftware Development

Adobe

2 roles

Member Of Technical Staff 2

Jan 2019Sep 2020 · 1 yr 8 mos · Noida

  • 1. Acrobat Desktop Sandbox Performance
  • Reduced launch time by 77% (from 7s to 1.7s) in the sandboxed environment.
  • Achieved a 96% reduction in Highbeam initialization time and a 92% reduction in Preflight initialization time, improving user experience.
  • Enhanced non-sandboxed mode performance by 76%.
  • Led design, architectural reviews, and performance benchmarking for sustained improvements.
  • Introduced link-time optimizations, resolved critical bugs, and streamlined processes.
  • Recognized with the Spot Award (Q2’20) for exceptional contributions.
  • 2. Launch Time Optimizations
  • Improved Acrobat Desktop and Adobe Reader launch performance by 30% by optimizing legacy code.
  • Implemented multithreading, library preloading, and static variable optimization, accelerating launches while maintaining security integrity.
  • Led the re-architecture of Acrobat’s launch workflow, achieving significant performance gains.
  • Awarded the Special Contribution Award for extraordinary impact.
  • 3. Improved Responsiveness of Acrobat Desktop
  • Led efforts to improve Acrobat Desktop responsiveness by addressing hangs and optimizing idle processes.
  • Implemented state-saving, thread interruptions, and delayed task initialization for enhanced performance.
  • Developed the award-winning Responsiveness Score Model, quantifying and optimizing performance.
  • 4. Acrobat Performance and Launch Time Optimization
  • Led performance and launch time optimization for Acrobat releases.
  • Reviewed pull requests and integrated automated performance checks to ensure launch time changes met standards.
  • Owned Acrobat Desktop performance metrics, driving significant reductions in launch times.
  • 5. File Synchronization System
  • Designed and implemented file synchronization mechanism between local storage and Cloud with file caching for offline access and progress bar.
C++Architectural DesignSoftware DevelopmentPerformance Optimization

Member Of Technical Staff

May 2018Dec 2018 · 7 mos · Noida

  • Connect Installer Optimization: Owned Connect Installer deliverables, migrating the Linux-based signing
  • setup to Docker, which improved deployment efficiency. Identified and resolved legacy process loopholes.
  • Received DFT award give yearly for impactful contributions.

Zs

Software Engineer

Jul 2017May 2018 · 10 mos · pune

  • Full stack developer in one of the project of ZS i.e. JIM (web application)
  • Development using C#,vb.net, javascript, jquery, Asp.net ,MSSQL , REST API and many more technologies.
  • Javelin Application Enhancement: Developed and enhanced the Javelin Incentive Manager Application,
  • adding PDF report downloads with record counts and a detailed transaction summary page. Collaborated with
  • cross-functional teams to deliver efficient solutions within tight deadlines, ensuring a seamless user experience

Education

Maulana Azad National Institute of Technology

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2013Jan 2017

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