Aayush Singh profile photo 1 on Tal

Aayush Singh

Software Engineer 2

Bengaluru

3+ years of work experience

slice
Jan 20268 mosAug 2026

Bengaluru, Karnataka, India

Stealth AI Startup
Sep 20252 mosOct 2025

San Francisco, California, United States

• Building https://www.platypus.care/ • Led the development of the MVP for a stealth AI startup in preventive healthcare, designing and implementing machine learning models to predict diseases up to 5 years in advance. • Utilized patient Electronic Medical Record (EMR) data, family history, and real-time user environment data as input features. • Engineered data pipelines, implemented feature extraction and selection, and developed a gamified habit-building platform to engage users in proactive health management.
Clipboard Health
Apr 20255 mosAug 2025

San Francisco, California, United States

• Re-designed the worker onboarding flow by enabling parallel background document verification, allowing users to access the app experience immediately and reducing effective activation time from 9 days to 1 day. • Developed, and owned the Shift-Tracker feature during hackathon to address a critical pain-point for facility administrators; successfully launched a pilot within one week across 12 facilities and scaled to full production release for all facilities within one month. • Reduced weekly alerts from 250+ to under 30 for Team Alchemy by auditing the codebase, ensuring only actionable notifications remained. Streamlined on-call operations led to faster incident response and increased system stability.
slice
Jul 20231 yr 9 mosMar 2025

• Designed and developed backend flows for savings account onboarding, including end to end orchestration starting from KYC data collection to post-onboarding asynchronous processes such as application auto approval, manual flow, customer creation, savings account setup, balance transfers, and UPI upgrades. • Integrated credit report APIs (CIBIL, CRIF, Equifax, Experian) into onboarding platform, implementing asynchronous workflows using service-worker architecture with RESTful services and job queues to automate secure PDF report generation and delivery to end users. • Developed an image compression worker at Slice to dynamically resize and optimize user-uploaded images based on client requests, enabling flexible delivery in multiple resolutions and reducing screen load times by 90% for bulk image fetch scenarios through efficient caching and parallel processing. • Added circuit-breakers, metrics and dashboards for existing as well as new features, this improved our monitoring and increased developer productivity by reducing the noise and providing actionable on-call alerts. • Performed DB migration of 19 collections of credit-report-svc from Mongo Atlas to AWS RDS reducing costs by 35%. • Owned and managed four backend services within the onboarding platform, ensuring their reliable operation and successful delivery of multiple feature updates throughout the year.
slice
Jan 20236 mosJun 2023

• Built an in-house video-kyc platform for enabling seamless in-app vkyc experience for users, this helped us reduce costs by 40% and reduced user drop off because of enhanced observability. • Optimized platform search by migrating to AWS OpenSearch and designing custom analyzers, tokenizers, and relevance tuning; increased successful query rate from 89% to 95% and enhanced search accuracy and response times through tailored indexing strategies and distributed querying. • Identified issues in Google Places API integration, cutting monthly costs by 70% (USD 5,000) through efficient usage while maintaining system performance. • Led infrastructure improvements for onboarding services by maintaining CI/CD pipelines using GitHub Actions, optimizing Dockerfile configurations, and executing proactive security vulnerability cleanups to streamline deployments and ensure high software quality. • Developed and integrated comprehensive unit and end-to-end test suites for backend microservices, leveraging custom metrics for monitoring, and automating tests through CI workflows, resulting in consistent code quality and release stability.

Aayush’s AI Stack

claude code
claude code
codex
codex

Education

ABV-Indian Institute of Information Technology and Management

Integrated Post Graduation, Information Technology

ABV-Indian Institute of Information Technology and Management

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Aayush Singh on Tal

Headline

Software Engineer 2

Location

Bengaluru

AI stack

claude code

codex

Work experience

Software Engineer 2 at slice, Jan 2026 - Aug 2026 · 8 mos, Bengaluru, Karnataka, India

Founding Member at Stealth AI Startup, Sep 2025 - Oct 2025 · 2 mos, San Francisco, California, United States, • Building https://www.platypus.care/ • Led the development of the MVP for a stealth AI startup in preventive healthcare, designing and implementing machine learning models to predict diseases up to 5 years in advance. • Utilized patient Electronic Medical Record (EMR) data, family history, and real-time user environment data as input features. • Engineered data pipelines, implemented feature extraction and selection, and developed a gamified habit-building platform to engage users in proactive health management.

Software Engineer at Clipboard Health, Apr 2025 - Aug 2025 · 5 mos, San Francisco, California, United States, • Re-designed the worker onboarding flow by enabling parallel background document verification, allowing users to access the app experience immediately and reducing effective activation time from 9 days to 1 day. • Developed, and owned the Shift-Tracker feature during hackathon to address a critical pain-point for facility administrators; successfully launched a pilot within one week across 12 facilities and scaled to full production release for all facilities within one month. • Reduced weekly alerts from 250+ to under 30 for Team Alchemy by auditing the codebase, ensuring only actionable notifications remained. Streamlined on-call operations led to faster incident response and increased system stability.

Software Engineer at slice, Jul 2023 - Mar 2025 · 1 yr 9 mos, • Designed and developed backend flows for savings account onboarding, including end to end orchestration starting from KYC data collection to post-onboarding asynchronous processes such as application auto approval, manual flow, customer creation, savings account setup, balance transfers, and UPI upgrades. • Integrated credit report APIs (CIBIL, CRIF, Equifax, Experian) into onboarding platform, implementing asynchronous workflows using service-worker architecture with RESTful services and job queues to automate secure PDF report generation and delivery to end users. • Developed an image compression worker at Slice to dynamically resize and optimize user-uploaded images based on client requests, enabling flexible delivery in multiple resolutions and reducing screen load times by 90% for bulk image fetch scenarios through efficient caching and parallel processing. • Added circuit-breakers, metrics and dashboards for existing as well as new features, this improved our monitoring and increased developer productivity by reducing the noise and providing actionable on-call alerts. • Performed DB migration of 19 collections of credit-report-svc from Mongo Atlas to AWS RDS reducing costs by 35%. • Owned and managed four backend services within the onboarding platform, ensuring their reliable operation and successful delivery of multiple feature updates throughout the year.

Software Engineer Intern at slice, Jan 2023 - Jun 2023 · 6 mos, • Built an in-house video-kyc platform for enabling seamless in-app vkyc experience for users, this helped us reduce costs by 40% and reduced user drop off because of enhanced observability. • Optimized platform search by migrating to AWS OpenSearch and designing custom analyzers, tokenizers, and relevance tuning; increased successful query rate from 89% to 95% and enhanced search accuracy and response times through tailored indexing strategies and distributed querying. • Identified issues in Google Places API integration, cutting monthly costs by 70% (USD 5,000) through efficient usage while maintaining system performance. • Led infrastructure improvements for onboarding services by maintaining CI/CD pipelines using GitHub Actions, optimizing Dockerfile configurations, and executing proactive security vulnerability cleanups to streamline deployments and ensure high software quality. • Developed and integrated comprehensive unit and end-to-end test suites for backend microservices, leveraging custom metrics for monitoring, and automating tests through CI workflows, resulting in consistent code quality and release stability.

Education

Integrated Post Graduation, Information Technology, ABV-Indian Institute of Information Technology and Management