Hi, I'm Aarsh 👋
Student @ San Jose State University with over 4 years of professional experience.

About

Software Engineer with 4 years of experience building backend, cloud, and AI-driven systems. I specialize in Python, Django, distributed services, observability, and applied AI workflows including RAG, agents, document intelligence, computer vision, and developer productivity tools.

Work Experience

Avive Solutions

Apr 2023 - Dec 2024
Full Stack Engineer
  • ⦿ Led backend architecture improvements for data-heavy geospatial services, migrating core modules to PostgreSQL + PostGIS and improving spatial query performance and map accuracy by 60%.
  • ⦿ Built and operated production microservices on AWS ECS with CloudWatch monitoring, CI/CD pipelines, and rollback-safe deployments supporting 99.9% uptime.
  • ⦿ Re-architected Docker pipelines with multi-stage builds, reducing image size by 90%+ and cutting deployment time by 40%.
  • ⦿ Designed centralized observability with the ELK stack, enabling fast search and analysis across 10M+ production logs.
  • ⦿ Eliminated N+1 query patterns and duplicate database calls, reducing slow queries by 50%+ and improving API latency for high-traffic workflows.

Zartek Technologies Pvt. Ltd.

Apr 2022 - Apr 2023
Software Engineer
  • ⦿ Designed and deployed microservice-based REST APIs for bookkeeping and subscription workflows used by 10K+ users.
  • ⦿ Integrated Veryfi, QuickBooks, and RevenueCat into production backend systems, connecting document extraction, accounting, and subscription data flows.
  • ⦿ Architected authentication and notification workflows with Firebase Authentication and FCM, achieving 99.9% reliability for user-facing events.
  • ⦿ Built AWS Lambda and S3 serverless workflows that improved release velocity by 25% and reduced operational overhead.
  • ⦿ Introduced Redis caching on high-traffic data paths, reducing API latency by 35% and improving backend responsiveness.

Fero

May 2021 - Mar 2022
Backend Engineer
  • ⦿ Developed backend services for a logistics automation platform using Django and Django REST Framework, supporting RBAC, async APIs, and real-time operations.
  • ⦿ Designed PostgreSQL + PostGIS data models for route optimization and geospatial workflows, reducing trip planning time by 30%.
  • ⦿ Built real-time data pipelines with WebSockets and asynchronous endpoints for live delivery tracking and operational visibility.
  • ⦿ Integrated Google Maps API and OpenStreetMap GeoJSON data for large-scale geospatial processing and route intelligence.

Education

San Jose State University (SJSU)

Dec 2026
Master's Science in Software Engineering

    Dharmsinh Desai University

    Bachelor's of Technology in Computer Engineering

      Languages

      Python
      JavaScript
      TypeScript
      SQL
      Rust
      Java
      C++
      Bash

      Frameworks & Libraries

      Django
      Django REST Framework
      Flask
      Angular
      Next.js
      React
      FastAPI
      pytest
      Celery

      AI Engineering

      AI Agents
      RAG
      LLM Applications
      Prompt Engineering
      Vector Search
      Embeddings
      Semantic Search
      LangChain
      OpenAI API
      Claude
      Codex
      Cursor
      Model Orchestration
      Document Ingestion
      Retrieval Pipelines

      Cloud Platforms & DevOps

      AWS
      Google Cloud
      Azure
      Docker
      Ansible
      GitHub Actions

      Databases

      PostgreSQL
      PostGIS
      MySQL
      MongoDB
      GraphQL
      Firebase
      Supabase
      Redis
      Elasticsearch

      Tools

      Git
      Linux
      Swagger
      OpenAPI
      Prometheus
      Grafana
      Logstash
      Kibana
      Django Silk
      Django Debug Toolbar
      My Projects

      Check out my latest work

      I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

      FirstCommit

      FirstCommit

      AI developer onboarding agent that helps new engineers understand repositories, documentation, setup steps, and code ownership faster. Built around natural-language repo questions, retrieval-grounded answers, and guided onboarding workflows to reduce repeated senior-engineer interruptions.

      AI
      Developer Tools
      RAG
      Agents
      Documentation
      Repos
      SeeCure

      SeeCure

      AI-powered autonomous security platform combining YOLOv8 computer vision, robot patrol simulation, cloud deployment, and real-time event alerting for intrusion, fire, and altercation detection.

      Computer Vision
      YOLOv8
      AWS
      FastAPI
      Real-Time Systems
      Chat Craft (Chatbot As a Service)

      Chat Craft (Chatbot As a Service)

      Enterprise RAG platform for ingesting internal documents and delivering context-aware LLM responses. Designed retrieval, prompt construction, inference orchestration, and API workflows with room for future model and vector store upgrades.

      RAG
      LLMs
      Vector Search
      Semantic Search
      API Design
      Hackathons

      I like building things

      I use hackathons to prototype ambitious AI, cloud, and systems ideas quickly, from agentic disaster response workflows to legal QA engines and IoT safety systems.

      • C

        CalHacks 12.0

        Palace of Fine Arts, San Francisco, CA

        Built AgentAid, an AI disaster-response network that converts multilingual voice/text requests into structured needs, prioritizes urgency, and matches victims with nearby supplies in real time.
      • C

        Cloudathon by AWS

        San Jose State University, San Jose, CA

        Built and deployed a cloud-native prototype using AWS services, focusing on scalable architecture, rapid delivery, and production-style deployment workflows.
      • L

        LLM x Law Hackathon #5

        Stanford University, Palo Alto, CA

        Led a 4-person team to build a GPT-4-powered legal QA engine using LangChain and vector search, achieving 90%+ accuracy on long-contract questions and ranking among the top teams in a 9-hour Stanford hackathon.
      • O

        Odoo Hackathon

        Gandhinagar, Gujarat, India

        Selected among the top 150 teams from 600+ teams across India for a 24-hour product-building hackathon.
      • S

        Smart India Hackathon (SIH) - Hardware Edition

        Nadiad, India

        Led a 6-person team to the SIH Hardware semi-finals with an IoT IV-fluid monitoring system using low-level detection and automated nurse notifications.
      Contact

      Get in Touch

      Want to chat? Just shoot me an email with your query and I'll respond as soon as possible