Husain Zaidi

Software Engineer

Hyderabad, Telangana, India5 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led a team to win an org-level prize in an internal hackathon.
Improved performance of data pipelines ingesting several TBs daily.
Designed LLM agents for Microsoft Teams.

Stackforce AI infers this person is a Data Engineering and Back-End Development specialist in SaaS.

Contact

husain.zaidi@microsoft.com +919492633042 LinkedIn

Skills

Core Skills

Data EngineeringBack-end DevelopmentSoftware DevelopmentResearch

Other Skills

.NETArtificial Neural NetworksAzure Data FactoryAzure FunctionsAzure SynapseC#ClangFlighting infrastructureHugginFace transformersKerasLLM agentsLive-site incident managementPythonREST APIsReactJS

About

Software Engineer 2 at Microsoft with experience in Data Engineering and Back-End Development. Building Microsoft Task Management Ecosystem and Business metrics data pipelines Skilled in .NET, Spark SQL, Python, HugginFace transformers https://github.com/husain-zaidi

Experience

5 yrs 9 mos

Total Experience

5 yrs 9 mos

Average Tenure

5 yrs 9 mos

Current Experience

Microsoft

3 roles

Software Engineer 2

Promoted

Sep 2022 – Present · 3 yrs 9 mos · Hyderabad, Telangana, India

Added file grounding support using Sydney to the Project Manager Agent in Teams for executing tasks. Designed LLM agents in Autogen. Added EU compliant telemetry and flighting infrastructure
Lead the Data Engineering crew for Tasks Management Services across products.
Improving Azure Data Factory and Azure Synapse pipelines for key metrics for Microsoft Tasks ecosystem. On-boarding various data sources into the pipeline. Working closely with M2 to maintain the data quality and ensure GDPR and EUDB compliance. Improving the pipeline that ingests several TBs of data daily. Improved performance of spark job pipelines.
Designing improvements to the data warehouse star-schema based model that powers PowerBI dashboards.
Querying data relevant to Product inquiries and to track features.
Working with PMs across teams for improving metrics reporting and onboarding other apps to the data warehouse.
Led a team to win an org-level prize in the internal hackathon, leveraging LLMs. Built internal LLM plugins/skills

.NETSpark SQLPythonHugginFace transformersAzure Data FactoryAzure Synapse+2

Software Engineer

Aug 2020 – Aug 2022 · 2 yrs · Hyderabad, Telangana, India

Shipped the invite-less task list sharing feature for Todo. Designed and implemented backend REST APIs for Todo Features, end-to-end tested.
Built and improved capabilities and reliability of shared lists in Microsoft Todo, back-end service. Resolved a number of long, persistent exceptions.
Undertook the task of updating millions of folders for compliance, ensuring seamless migration with 0 impact to customer's task lists
Jumped into critical Live-site incidents to assist and mitigate impact. Presented incidents in Post-mortem discussions.
Investigated sharing and time-zone related issues, solving customer dissatisfaction. Worked with client teams to design solutions to recurring tasks

REST APIsBackend DevelopmentTask List SharingLive-site incident managementBack-End Development

Software Engineering Intern

Jun 2019 – Aug 2019 · 2 mos · Greater Hyderabad Area

Engineered a custom cross-platform code coverage reporting tool in the build pipeline for Microsoft Office team.
Worked in the Office Fundamentals team. Manipulated Abstract Syntax Trees and
rendered coverage using ReactJS in an extension
Designed a Hololens application for the annual hackathon.
Tech Stack: C#, ReactJS, Azure Functions, Clang

C#ReactJSAzure FunctionsClangSoftware Development

The university of kiel

Research Intern

Jun 2018 – Aug 2018 · 2 mos · Kiel Area, Germany

Predicted Thermal Conductivity of unsaturated sands using ANNs. Reviewed ANN-related research literature relevant to our topic.
Designed neural network models, wrote and rendered figures for the deep learning sections of the paper.
Worked on paper "Soft and Hard Computation Methods for Estimation of the
Effective Thermal Conductivity of Sands" DOI: 10.1007/s00231-020-02833-w
Tools used: Keras, Tensorflow, Spyder

Artificial Neural NetworksKerasTensorflowSpyderResearch