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Aditya Deshpande

Junior Full-Stack Software Engineer specializing in AI data systems

New York, NYFull-Stack Software Engineer1 years experienceJuniorArtificial IntelligenceSaaSTechnology
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About

Full-stack engineer with strong DevOps/AWS production experience who builds and operates multi-agent AI systems end-to-end (Streamlit/Python through Docker/Kubernetes and ECS/Fargate). Has delivered measurable outcomes: sub-2s latency and ~92% routing accuracy for an AI wellness assistant, shipped an AI-for-BI prototype in under 6 weeks cutting analysis time ~40%, and improved pipeline iteration speed ~35% via modularization and CI/regression checks.

Experience

Full-Stack Software EngineerSEPAL AI
Full-Stack Software EngineerSQOR AI
Software Engineer InternCovenant House
Software Engineer InternCantor Fitzgerald
Software / Machine Learning Engineer InternBhabha Atomic Research Centre
Marketing HeadMESA

Education

New York University - Courant & Stern School of Businessmaster, Information Systems (2025)
University of Mumbaibachelor, Mechanical Engineering (2023)

Key Strengths

  • Owned and shipped end-to-end production AI wellness assistant (frontend, backend, deployment/ops)
  • Measured and improved production performance (sub-2s latency; ~92% routing accuracy)
  • Database migration expertise (SQLite to Postgres) including concurrency redesign; reduced write latency ~40%
  • Modern full-stack architecture design (React/TS + Node/Express + Postgres) with strong validation and migrations
  • API versioning/backward compatibility strategy (URL versioning, feature flags, dual read/write during migrations)
  • Production AWS operations and reliability engineering (ECS/Fargate, RDS, autoscaling, multi-AZ, blue-green deploys, rollbacks)
  • Observability implementation (structured logs, metrics/alarms, distributed tracing) and incident response with post-mortems/runbooks
  • High-ambiguity startup execution: shipped multi-agent BI prototype in <6 weeks; cut manual analysis time ~40%
  • Maintainability/scalability refactors: modularized evaluation pipeline; improved iteration speed ~35%
  • Built reliable ETL pipelines with idempotency, retries, backfills, reconciliation, and alerting

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Languages

English

Skills

API DesignBackend ServicesSystem ArchitectureData ModelingPerformance OptimizationScalabilityReliability EngineeringFeature OwnershipLLM PipelinesModel Evaluation FrameworksRetrieval-Augmented Generation (RAG)Retrieval SystemsEnsemble MethodsLatency TrackingRobustness Testing