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%