Aarsh Sheth · Software engineer · San Jose

I’m Aarsh, a software engineer with 3.5+ years in production. My work sits where reliable backend engineering, observable cloud infrastructure, and applied AI meet.

01

Point of view

The useful part starts after the happy path.

I like systems that explain themselves: APIs with clear boundaries, deployment paths that are repeatable, and enough observability to turn production questions into evidence.

Applied AI belongs in that same engineering discipline. Retrieval quality, response latency, persistence, and monitoring are not supporting details — they shape whether an AI product is useful.

02

Project journal

Four engineering case studies

Backend, cloud, applied AI, and developer tooling — documented as working systems.

Project index04 entries
Conceptual RescueFlow emergency operations dashboard with a response map, event timeline, responders, and resources
Media plate · 01 / 04RescueFlow · conceptual operations overview
01

Event-Driven Emergency Response

RescueFlow

0 backlog · 0 dead letters

A synthetic emergency-response workflow built to make distributed-system failure modes explicit and testable.

  • Go
  • REST
  • WebSockets
View case study about RescueFlow
ChatCraft conversation workspace with its configuration and performance dashboard
Media plate · 02 / 04ChatCraft · conversation and performance workspace
02

Chatbot-as-a-Service

ChatCraft

90%+ context accuracy

A retrieval-grounded LLM application for enterprise knowledge access.

  • FastAPI
  • LangChain
  • OpenAI
View case study about ChatCraft
Animated SeeCure CARLA multi-robot control dashboard demonstration
Media plate · 03 / 04SeeCure · CARLA multi-robot control dashboard
03

Smart Security Patrol

SeeCure

92%+ detection accuracy

A distributed security-monitoring platform with simulated patrols and real-time vision analysis.

  • Django REST
  • React
  • YOLOv8
View case study about SeeCure
Conceptual Semantix Lite interface showing local search through CLI and interactive terminal views
Media plate · 04 / 04Semantix Lite · conceptual dual-interface search
04

Rust CLI + TUI Search

Semantix Lite

CLI + TUI, one engine

A cross-platform local search tool with recursive discovery and an interactive terminal interface.

  • Rust
  • clap
  • walkdir
View case study about Semantix Lite

More engineering work

Agent systems, rapid builds, and platform experiments.

The archive gathers every documented build while keeping this page focused on four complete case studies.

See all projects
03

Professional experience · 2021—2024

Work experience

Three production roles across backend systems, cloud infrastructure, and full-stack delivery.

Full Stack Engineer

Avive Solutions Inc.

Modernize a five-year-old, map-intensive product while improving production reliability.

  1. Migrated core geospatial services to PostgreSQL and PostGIS, improving map feature accuracy by 60%.
  2. Reduced Docker image size by 90%+ and deployment time by 40% with multi-stage builds.
  3. Established centralized ELK observability across 10M+ logs and cut API latency by over 50% by resolving N+1 queries and duplicate calls.
  4. Deployed containerized services on AWS EC2 with CloudWatch monitoring, maintaining 99.9% uptime.
  5. Refactored a 5+ year-old Django backend around REST and Django REST Framework best practices.

Backend Engineer

Zartek Technologies Pvt. Ltd.

Connect customer-facing products to authentication, finance, document, and subscription services reliably.

  1. Developed production Django REST APIs for bookkeeping, document-processing, and subscription workflows.
  2. Integrated Veryfi, QuickBooks, RevenueCat, Firebase Authentication, and FCM.
  3. Reduced API latency by 35% with AWS Lambda, S3, and Redis-backed serverless workflows.
  4. Added Pytest coverage and documented APIs with Swagger and OpenAPI.

Backend Engineer (Python)

Fero.AI

Support logistics operations with secure APIs, asynchronous work, and route-aware data.

  1. Engineered Django REST services with authentication, RBAC, asynchronous APIs, and Redis.
  2. Modeled PostgreSQL and PostGIS routing data and developed Vue.js delivery-tracking interfaces against the Django REST backend.
  3. Improved API performance through query optimization and asynchronous processing.
04

Technical toolkit

Technologies I work with

  • 01

    Backend systems

    Production APIs, asynchronous work, and testing

    Built and maintained production Django services across three engineering roles.

    • Python
    • Django
    • Django REST Framework
    • FastAPI
    • Celery
    • REST APIs
    • GraphQL
    • Pytest
  • 02

    AI & agentic systems

    Retrieval, orchestration, and applied models

    Built retrieval, vision, multi-agent, and autonomous-agent systems.

    • Agentic Workflows
    • Multi-Agent Orchestration
    • CrewAI
    • RAG
    • Retrieval Pipelines
    • Vector Search
    • LLM Integration
    • LangChain
    • QLoRA
    • YOLOv8
    • Whisper
  • 03

    Cloud & reliability

    AWS delivery, containers, and observability

    Deployed and monitored workloads across EC2, Lambda, RDS, S3, and CloudWatch.

    • AWS EC2
    • AWS RDS
    • AWS S3
    • AWS Lambda
    • CloudWatch
    • Docker
    • Kubernetes
    • GitHub Actions
    • ELK
    • Prometheus
    • Grafana
    • Ansible
  • 04

    Databases & retrieval

    Relational, geospatial, cache, search, and vector storage

    Designed production relational, geospatial, cache, search, and vector-retrieval paths.

    • PostgreSQL
    • PostGIS
    • Redis
    • MongoDB
    • Elasticsearch
    • Pinecone
    • ChromaDB
    • SQLite Vector Storage
  • 05

    Languages & interfaces

    Product interfaces and developer tooling

    Shipped web interfaces and local developer tools across TypeScript, JavaScript, and Rust.

    • TypeScript
    • JavaScript
    • Rust
    • React
    • Next.js
    • Angular
    • Vue.js
  • 06

    AI development tools

    Agent-assisted implementation, debugging, refactoring, and review

    Used daily while reviewing generated changes, validating correctness, and iterating on solutions.

    • Claude Code
    • OpenAI Codex
    • Antigravity
    • Devin
    • Cursor
05

Beyond the day job

Hackathons & achievements

Fast builds, community contributions, and the work beyond production roles.

Selected record

Awards & contributions

  1. Winner

    DATA ER — 1st Place Overall & Hotdata Track Winner

    Data & AI Hackathon, AWS Builder Loft San Francisco

    Built a multi-agent data repair system with RocketRide orchestrating parallel specialists and Hotdata providing isolated per-agent databases and persistent cross-run telemetry for cleaned, auditable datasets.

  2. June 2026

    Viralyst — 2nd Place

    InsForge Hackathon, Entrepreneurs First

    Led an eight-hour build combining Whisper, vision models, Postgres, and vector similarity search to simulate video virality.

  3. May 2026

    SMOKY — 2nd Place

    Applied Intelligence Hackathon

    Led a ten-hour build of an autonomous DevSecOps agent using Opsera MCP, Daytona, NEAR AI, React, FastAPI, and InsForge.

  4. April 2025

    Legal QA Engine — Top Ranking

    LLM x Law Hackathon #5, Stanford University

    Led a four-person team to deliver a GPT-4 legal QA engine with LangChain and vector search in nine hours.

  5. Contribution

    Faker — Open Source

    Python community contribution

    Added Hindi, Gujarati, and enhanced English-India locale support with tested unittest modules.

Alongside the work

Education, leadership & service

01

Education

San José State University

Master of Science in Software Engineering
Graduating December 2026

02

Leadership & teaching

President of Spartan Garba Club, coordinating volunteers for an event with 500+ attendees. Teaching Associate and ISA for CMPE 126: Data Structures & Algorithms.

03

Community

iSucceed peer mentor for international students and volunteer event photographer with ISSS.

A personal invitation

Have a hard backend problem or an AI idea that needs engineering discipline?

I’d be glad to compare notes.