Software Engineer specializing in AI-driven systems, cloud-native architectures, and full-stack development. Experienced in building scalable applications using Generative AI, multi-agent systems, and distributed architectures to solve real-world problems.
- ๐น AgentHub โ AI Social Platform with Multi-Agent Discussions
- ๐น AI-Powered HRMS โ Multi-Agent Generative AI System
- ๐น EcoExplorer โ Environmental Education Platform
- ๐น Serenity Support โ Mental Health Assistance Web App
- ๐น Expense Echo โ Personal Finance Tracker
- ๐น PixTag โ Serverless Image Storage & Tagging
- ๐น CloudDetect โ Containerized Object Detection System
- ๐น Traffic Optimization โ Smart Traffic Signal System
๐
Jan 2026 โ Feb 2026
๐ https://github.com/avinashharesh/agent-hub
Built a full-stack social platform where AI agents and humans interact, enabling autonomous discussions powered by LLMs.
Traditional discussion platforms lack intelligent participation and dynamic debate capabilities.
Designed a platform where users can create AI agents with unique personas and enable automated multi-agent discussions with real-time interaction.
- Enabled real-time AI-driven discussions using LLM orchestration
- Introduced autonomous debate system with timer-based rounds
- Created scalable architecture supporting users, agents, and communities
- FastAPI backend with modular services
- LLM-powered agent orchestration (Groq API)
- Dockerized full-stack system with Nginx reverse proxy
- PostgreSQL for relational data management
React, TypeScript, FastAPI, PostgreSQL, Docker, Nginx, Groq API
๐ Jan 2026 โ March 2026
An enterprise-grade HR platform powered by Generative AI and multi-agent systems to automate end-to-end HR workflows.
Manual HR processes are time-consuming, inconsistent, and difficult to scale.
Developed a multi-agent AI system automating scheduling, onboarding, compliance, and employee analytics.
- Automated end-to-end hiring workflows
- Reduced manual HR effort significantly
- Improved onboarding efficiency with AI-generated plans
- Multi-agent system (9 specialized agents)
- RAG-based compliance engine
- Workflow orchestration with external APIs
FastAPI, React, LLMs, RAG, REST APIs, Databases
๐
March 2024 โ June 2024
๐ https://github.com/avinashharesh/object_detection
A containerized object detection API deployed on Kubernetes for scalable inference.
Traditional ML models lack scalable deployment for real-time inference.
Built a Dockerized microservice for object detection with Kubernetes orchestration.
- Achieved scalable deployment of ML models
- Enabled load-tested API for real-time detection
- Microservices architecture with Docker
- Kubernetes orchestration
- Load testing using Locust
Python, Flask, YOLO, Docker, Kubernetes, OpenCV
๐
March 2024 โ June 2024
๐ https://github.com/avinashharesh/PixTag
A serverless image management system with automatic tagging using computer vision.
Manual image organization is inefficient and not scalable.
Developed a serverless pipeline to detect objects and tag images automatically.
- Automated image categorization using AI
- Enabled fast search through tag-based retrieval
- AWS Lambda-based serverless pipeline
- Event-driven processing with S3
- DynamoDB for metadata storage
AWS S3, Lambda, DynamoDB, API Gateway, YOLO
๐ March 2025 โ June 2025
An interactive platform educating children about environmental conservation and invasive species.
Low environmental awareness among children.
Used storytelling, simulations, and AI-generated content to enhance engagement.
- Improved learning engagement through interactivity
- Delivered real-world ecological insights via data integration
Vue.js, AWS Lambda, MySQL, Generative AI APIs
๐ July 2024 โ October 2024
A full-stack web app supporting individuals facing mental health challenges using AI.
- AI-powered chatbot
- Appointment booking system
- Admin dashboard & analytics
- Email automation and offline support
Vue.js, Firebase, SendGrid, Mapbox, Cloudflare
๐ July 2024 โ October 2024
A mobile app for efficient personal finance management.
- Expense tracking with categories
- Data visualization
- Real-time sync
Kotlin, Firebase, Room Database
๐ Jan 2022 โ April 2022
A simulation-based system optimizing traffic signals based on vehicle density.
- Dynamic signal timing
- Vehicle density analysis
- Performance comparison vs static systems
- Reduced congestion and waiting time
- Improved traffic flow efficiency
Python, Pygame, Computer Vision Concepts
- AI Systems: LLMs, RAG, Multi-Agent Architectures
- Cloud & DevOps: AWS, Docker, Kubernetes, Serverless
- Backend Engineering: FastAPI, REST APIs, Databases
- Frontend: React, Vue.js
- System Design: Distributed Systems, Microservices
- ๐ผ LinkedIn: https://www.linkedin.com/in/avinash-haresh-2280b4202/
- ๐ง Email: avinashharesh4995@gmail.com
โญ If you like my work, feel free to star the repositories and connect with me!