Reval LogoFind More Talent
AS

Ashi Sinha

Junior Software Engineer specializing in full-stack and ML/NLP systems

New York City, NYArtificial Intelligence Research Extern2 years experienceJuniorTechnologyArtificial IntelligenceResearch
ScreenedIdentity Verified

Connect with Ashi

Ashi already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

About

Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.

Experience

Artificial Intelligence Research ExternIBM Research
Software Development InternOne Vector
Software Development EngineerAmazon Development Center
Software Development InternAmazon Development Center
Software Development InternMicrosoft Corporation
Graduate Student ResearcherCenter for Intelligent Information Retrieval (CIIR) Lab, UMass Amherst
Undergraduate ResearcherBITS Pilani Hyderabad Campus

Education

University of Massachusetts Amherstmaster, Computer Science (2026)
Birla Institute of Technology and Science, Pilanibachelor, Computer Science (2022)
Birla Institute of Technology and Science, Pilanimaster, Physics (2022)

Key Strengths

  • End-to-end ownership of full-stack workflows (frontend, backend, cloud pipeline) through post-launch stabilization
  • Strong debugging approach using end-to-end logging/instrumentation to isolate pipeline mismatches
  • Reliability improvements in multi-step document/versioning workflows (preview consistency, deterministic latest-version retrieval)
  • Designs idempotent, staged backend workflows to handle retries, partial failures, and missing/late signals
  • Pragmatic engineering-quality focus (error handling, edge-case testing, clear state changes, maintainable modules)
  • UX-first optimization on critical paths in transaction flows (clear async state transitions, reduced re-renders)

Discover more candidates like Ashi

Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.

Search Talent

Connect with Ashi

Ashi already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Recommended

Already have an account?

Contact

candidate@example.com(555) 123-4567LinkedIn Profile
Sign up to view

Languages

English

Skills

Advanced AlgorithmsAgileAmazon Fire TVAndroidAndroid StudioAngularApplication Recommendation SystemsAsset Management SystemsAWSBing Search RelevanceBlockchainC#C++CI/CDClustering