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Mohit Sharma

@mohitsharma29

I build reliable batch and streaming data platforms for search, payments risk, enterprise applications, and AI workloads.

United States

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At Google, I build data platforms for Multimodal Search and Payments Risk, delivering reusable products for search-quality analysis, experimentation, and production risk decisioning.

I build batch and streaming pipelines with BigQuery, Dataflow, Apache Beam, Pub/Sub, Cloud Storage, Python, and SQL. My work includes curated datasets, orchestration, schema evolution, data validation, backfills, and high-volume workload optimization.

Previously at Microsoft, I delivered enterprise data-processing and model-scoring workflows for Dynamics 365 using Apache Spark, Azure Data Lake Storage, Azure Data Factory, C#/.NET, and ASP.NET Core. I also partnered with applied-science teams to operationalize transformer-based text-classification workflows.

My earlier work spans research at Georgia Tech, resume parsing at VMock, location-aware promotion services at Housing.com, and data-processing research at IIT Kharagpur. I focus on trusted, traceable data products that support analytics, experimentation, risk systems, and AI workloads.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Google

May 2022 - Present (4 years 4 months)

Delivered data platforms for Multimodal Search and Payments Risk initiatives, creating reliable, reusable data products for search-quality analysis, experimentation, and production risk decisioning.

Data and Applied Scientist

Microsoft

Mar 2020 - Apr 2022 (2 years 1 month)

Delivered enterprise data-processing and model-scoring workflows for Dynamics 365, standardizing ingestion, transformation, batch scoring, validation, and downstream delivery of business text and prediction data.

Apache Spark Python SQL Azure Data Lake Storage Azure Data Factory C#.NET ASP.NET Core Docker ETL Data Quality Monitoring Run Books

Visiting Researcher

Georgia Institute of Technology

Aug 2018 - Jan 2020 (1 year 5 months)

Conducted research on sub-goal discovery for reinforcement learning and attention-based musical instrument recognition, resulting in peer-reviewed publications at IJCAI 2020 and ISMIR 2019.

Python Reinforcement Learning Machine Learning Experiment Pipelines Data Analysis Validation

Software Engineer

VMock

Dec 2015 - Jul 2016 (7 months)

Redesigned components of the resume-parsing platform, improving conversion of heterogeneous resumes into structured candidate data used by downstream product workflows.

PHP Laravel Information Extraction Data Normalization Validation Regression Testing Error Analysis

Software Engineer

Housing.com

May 2015 - Sep 2015 (4 months)

Built a location-aware promotion service that matched users with geographically relevant offers using application context and location signals.

Elixir Phoenix Geospatial Data Processing Real Time Systems Concurrency Dataflow

Undergraduate Research

Indian Institute of Technology Kharagpur

Jul 2010 - May 2015 (4 years 10 months)

Contributed to early research on mention recommendation and tweet propagation, developing network, interaction, and content features for engagement analysis.

Python Data Processing Feature Engineering Statistical Analysis Graph Analytics Research