AKRITI .

Software Engineer

United States7 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in low-latency, high QPS product development.
  • Led significant improvements in Bing Autosuggest performance.
  • Skilled in deep learning and NLP microservices.
Stackforce AI infers this person is a SaaS Backend Engineer with expertise in high-performance systems.

Contact

Skills

Core Skills

Bing AutosuggestCachingFalcon PlatformMicroservicesPython

Other Skills

.NET UpgradeAlgorithmsArduinoAutomationAzure KubernetesBing CopilotBlocking MechanismBootstrapCC++Cascading Style Sheets (CSS)Circuit DesignCloud ComputingContainerizationContextualization

About

I specialize in developing low-latency, high QPS products and creating microservices for deep learning and NLP solutions. Experience in leading and delivering product features, spanning from requirement analysis to design, with effective communication abilities for seamless collaboration with partner teams and colleagues.

Experience

7 yrs 9 mos
Total Experience
3 yrs 10 mos
Average Tenure
7 yrs
Current Experience

Microsoft

3 roles

Member of Technical Staff

Mar 2025Present · 1 yr 3 mos

Software Engineer II

Feb 2022Mar 2025 · 3 yrs 1 mo

  • Member of the Bing Copilot Ghosting feature team, helping Copilot users to formulate queries with minimal time and keystrokes. I have led multiple projects aimed at improving user experience, such as implementing Contextualization/Personalization and reducing latency through the multiple caching and data prefetching techniques.
  • Contributed to Bing Autosuggest product, achieving ~100k QPS and latency below 70ms. Designed and implemented Semantic Match service. Developed features to handle out-of-language suggestions, cross-language duplicate suggestions, and enhanced the suggestion blocking mechanism by reducing blocking time from 2-3 hours to 5 minutes, among other improvements.
  • Served as the POC for the Falcon platform within Autosuggest team. Engaged in the enhancement of various platform features, including the .NET upgrade, PME & KV migration and increasing service capacity.
  • Managed the DRI process for my team, overseeing DRI documentations, onboarding, and rotation procedures.
Bing CopilotContextualizationPersonalizationCachingData PrefetchingBing Autosuggest+7

Software Engineer

Jun 2019Feb 2022 · 2 yrs 8 mos

  • Elevated Bing Autosuggest by integrating location-specific suggestions in collaboration with Bing Maps teams and refining the intricate Non-prefix match service of Autosuggest. Took ownership of the Popular Suggestion service, facilitating zero-input suggestions. Collaborated with partner teams (Windows, Edge) for the seamless integration of Popular Suggestion. Played a pivotal role in developing and implementing a defect detection/removal pipeline within Autosuggest.
  • Engaged in the development of the Skype calling backend service, collaborating with the team to create a microservice supporting Teams and Skype calling functionalities. Implemented the containerization of the Skype for Business calling service for deployment on Azure Kubernetes.
Bing AutosuggestLocation-specific SuggestionsNon-prefix Match ServicePopular Suggestion ServiceDefect Detection PipelineSkype Calling Backend Service+3

Indian institute of remote sensing (iirs), indian space research organization (isro)

software developer intern

May 2018Feb 2019 · 9 mos · Dehradun, Uttarakhand, India

  • Created Python-based tool for processing hyperspectral data, designed to Detect/Identify minerals, terrestrial vegetation, urban areas, and diverse landscapes within Earth's surface images.
PythonHyperspectral Data Processing

Indian institute of technology, indore

Intern

Jun 2017Jul 2017 · 1 mo · India

  • Engaged in the integration of object tracking and self-balancing functionalities within a robotic system.

Education

Dr. B. R. Ambedkar National Institute of Technology, Jalandhar

Bachelor of Technology — Electronics and Communications Engineering

Jan 2015Jan 2019

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