Mrigakshi Sharma profile photo 1 on Tal

Mrigakshi Sharma

Google | ISB Co’24

Hyderabad

5+ years of work experience

Google
Aug 20242 yrs 2 mosPresent

Hyderabad, Telangana, India

- Scaled AI Automation: Spearheaded the deployment of Agentic AI and LLMs to automate global mapping operations, driving seven-figure annual cost savings. Transformed manual pipelines into autonomous systems, drastically reducing review effort while maintaining enterprise-grade accuracy. - ADAS Product Delivery: Led the 0-to-1 operational delivery of complex mapping attributes to enable flagship autonomous driving features for top-tier automotive clients. Orchestrated greenfield initiatives by aligning Product, Engineering, and Policy on data modeling strategy and critical roadmap execution. - Enterprise Operations Management: Directed large-scale data operations and a multi-million dollar budget, dynamically managing a massive global workforce across multiple core programs. Maximized operational throughput well beyond targets by engineering scalable workflows and negotiating strategic performance trade-offs. - AI Model Diagnostics: Pioneered continuous AI model diagnostics and generative AI evaluation frameworks to monitor data quality globally and resolve systemic algorithmic regressions. Successfully transitioned manual curation teams into an AI-assisted supervisor paradigm, rapidly accelerating diagnostic turnaround times. - Cross-Functional Leadership: Spearheaded operational strategy alongside Engineering and Design, championing user-centric tooling and standardized data taxonomies. Accelerated executive time-to-insight and eliminated reporting bottlenecks by developing an AI-powered chatbot to dynamically generate targeted performance metrics.
UBS
Aug 20202 yrs 8 mosMar 2023

Pune, Maharashtra, India

• Architected a microservice cloud search engine, serving 250K DAU and 100M daily API hits, saving $600K annually. • Designed high-throughput ETL pipelines for sensitive financial and CRM data, accelerating ingestion speeds by 5x. • Led release management coordination across 35+ cross-functional teams, ensuring zero-downtime deployments with a <5% rollback rate.
Jan 20206 mosJun 2020

Bengaluru, Karnataka, India

Developed a deep learning model for Samsung smartphone’s native photo-retouching feature. Outperformed state-of-the-art baseline models established by Microsoft Research. Published novel findings and presented at CVIP 2020.
Think360.ai
May 20193 mosJul 2019

Mumbai Metropolitan Region

• Developed a CIBIL Parser using Python to extract and organize data from XML files. • Implemented a schema to calculate pricing variables for credit risk assessment. • Optimized the parser to handle up to 10 requests per second, enhancing performance. • Gained hands-on experience in data processing and software development within a dynamic startup environment.
Nomura
May 20183 mosJul 2018

Mumbai, India

Log Processing (Java) - Developed a system to process over 28GB of log files in under 100MB RAM.

Mrigakshi’s AI Stack

aistudio
aistudio
antigravity
antigravity
claude code
claude code
claude
claude
gemini
gemini

Education

Indian School of Business

Post Graduate Programme, Strategy & Tech Management

Indian School of Business

20231 yr2024
Manipal Academy of Higher Education

Bachelor of Technology, Computer Science

Manipal Academy of Higher Education

20164 yrs2020

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Headline

Google | ISB Co’24

Location

Hyderabad

AI stack

aistudio

antigravity

claude code

claude

gemini

Work experience

Technical Program Manager at Google, Aug 2024 - Present · 2 yrs 2 mos, Hyderabad, Telangana, India, - Scaled AI Automation: Spearheaded the deployment of Agentic AI and LLMs to automate global mapping operations, driving seven-figure annual cost savings. Transformed manual pipelines into autonomous systems, drastically reducing review effort while maintaining enterprise-grade accuracy. - ADAS Product Delivery: Led the 0-to-1 operational delivery of complex mapping attributes to enable flagship autonomous driving features for top-tier automotive clients. Orchestrated greenfield initiatives by aligning Product, Engineering, and Policy on data modeling strategy and critical roadmap execution. - Enterprise Operations Management: Directed large-scale data operations and a multi-million dollar budget, dynamically managing a massive global workforce across multiple core programs. Maximized operational throughput well beyond targets by engineering scalable workflows and negotiating strategic performance trade-offs. - AI Model Diagnostics: Pioneered continuous AI model diagnostics and generative AI evaluation frameworks to monitor data quality globally and resolve systemic algorithmic regressions. Successfully transitioned manual curation teams into an AI-assisted supervisor paradigm, rapidly accelerating diagnostic turnaround times. - Cross-Functional Leadership: Spearheaded operational strategy alongside Engineering and Design, championing user-centric tooling and standardized data taxonomies. Accelerated executive time-to-insight and eliminated reporting bottlenecks by developing an AI-powered chatbot to dynamically generate targeted performance metrics.

Software Engineer at UBS, Aug 2020 - Mar 2023 · 2 yrs 8 mos, Pune, Maharashtra, India, • Architected a microservice cloud search engine, serving 250K DAU and 100M daily API hits, saving $600K annually. • Designed high-throughput ETL pipelines for sensitive financial and CRM data, accelerating ingestion speeds by 5x. • Led release management coordination across 35+ cross-functional teams, ensuring zero-downtime deployments with a <5% rollback rate.

Intern at Samsung Research, Jan 2020 - Jun 2020 · 6 mos, Bengaluru, Karnataka, India, Developed a deep learning model for Samsung smartphone’s native photo-retouching feature. Outperformed state-of-the-art baseline models established by Microsoft Research. Published novel findings and presented at CVIP 2020.

Software Development Intern at Think360.ai, May 2019 - Jul 2019 · 3 mos, Mumbai Metropolitan Region, • Developed a CIBIL Parser using Python to extract and organize data from XML files. • Implemented a schema to calculate pricing variables for credit risk assessment. • Optimized the parser to handle up to 10 requests per second, enhancing performance. • Gained hands-on experience in data processing and software development within a dynamic startup environment.

Intern - Risk and Capital IT at Nomura, May 2018 - Jul 2018 · 3 mos, Mumbai, India, Log Processing (Java) - Developed a system to process over 28GB of log files in under 100MB RAM.

Education

Post Graduate Programme, Strategy & Tech Management, Indian School of Business

Bachelor of Technology, Computer Science, Manipal Academy of Higher Education