Full-Stack AI Platform Development
Budget: ₹12,500 – ₹37,500 INR
? About Me
? Final-year BTech student passionate about building end-to-end software systems and automation platforms.
? Builder of AI-driven platforms combining marketplace, agent automation, and deployment infrastructure.
? Freelancing experience in full-stack development, AI system integration, cloud infrastructure, and product engineering.
? Strong background in Python, JavaScript, Docker, FastAPI, Node.js, React, and cloud services like AWS and GCP.
? Experience creating products that integrate LLMs (like GPT-4), genetic algorithms, symbolic regression, and automation agents.
? Founder/developer of multiple AI and automation-based products — solving real-world problems with smart systems.
? Skilled in building secure, scalable platforms with token authentication, container management, and service proxies.
? Open-source contributor and creator of the taskpilot_aws-inator project – deploy AWS infra using natural language prompts.
? Key Projects
? ToolboxAI – AI Automation Platform
Built a marketplace platform for AI agents that automates user tasks via web interfaces and API endpoints.
Features include:
Agent-as-a-Service delivery using Docker + NGINX proxying.
URL routing with token-based access for secure agent interaction.
Automatic VM/container deployment on user demand.
? Master Agent + Specialized Agent Architecture
Developed a master orchestration agent using LangChain AgentExecutor.
The master:
Analyzes tasks.
Plans steps.
Invokes the right specialized agents using metadata + API documentation.
Built a searchable agent database to recommend agents based on job descriptions.
? Genetic Algorithm–Based Robo-Trader
Created a trading strategy generator using fundamental, technical, and sentiment analysis.
Uses:
Genetic algorithms with tree-based strategy representation.
Trainable parameters (comparison thresholds, risk factors, tree depth).
Integrated with Zipline & Alphalens for backtesting and factor analysis.
? Alpha Factor Discovery with STGA + Deep Symbolic Regression
Designed a system that:
Evolves mathematical alpha signals.
Optimizes constants using symbolic regression.
Penalizes complexity using parsimony in the fitness function.
Ranks stocks based on Spearman correlation and IC metrics.
? Proxy Website System for Client Containers
Developed a secure proxy-like website system:
Verifies access tokens.
Tracks usage for billing.
Serves Docker container UIs through official domains with sub-path routing.
⚙️ Autonomous GCP Deployment Manager
Built a system to:
Deploy and scale VM instances on GCP.
Deploy and manage NGINX containers for traffic routing.
Auto-scale based on resource usage (CPU, memory).
Automatically update NGINX config files as new containers are deployed.
? LLM-Based Custom Ad Engine (WIP)
Currently building a personalized ad engine:
Uses user chat history (JSON exports) to extract topics, preferences, intent.
Targets ads or content using GPT-based summary and classification.
? Final-year BTech student passionate about building end-to-end software systems and automation platforms.
? Builder of AI-driven platforms combining marketplace, agent automation, and deployment infrastructure.
? Freelancing experience in full-stack development, AI system integration, cloud infrastructure, and product engineering.
? Strong background in Python, JavaScript, Docker, FastAPI, Node.js, React, and cloud services like AWS and GCP.
? Experience creating products that integrate LLMs (like GPT-4), genetic algorithms, symbolic regression, and automation agents.
? Founder/developer of multiple AI and automation-based products — solving real-world problems with smart systems.
? Skilled in building secure, scalable platforms with token authentication, container management, and service proxies.
? Open-source contributor and creator of the taskpilot_aws-inator project – deploy AWS infra using natural language prompts.
? Key Projects
? ToolboxAI – AI Automation Platform
Built a marketplace platform for AI agents that automates user tasks via web interfaces and API endpoints.
Features include:
Agent-as-a-Service delivery using Docker + NGINX proxying.
URL routing with token-based access for secure agent interaction.
Automatic VM/container deployment on user demand.
? Master Agent + Specialized Agent Architecture
Developed a master orchestration agent using LangChain AgentExecutor.
The master:
Analyzes tasks.
Plans steps.
Invokes the right specialized agents using metadata + API documentation.
Built a searchable agent database to recommend agents based on job descriptions.
? Genetic Algorithm–Based Robo-Trader
Created a trading strategy generator using fundamental, technical, and sentiment analysis.
Uses:
Genetic algorithms with tree-based strategy representation.
Trainable parameters (comparison thresholds, risk factors, tree depth).
Integrated with Zipline & Alphalens for backtesting and factor analysis.
? Alpha Factor Discovery with STGA + Deep Symbolic Regression
Designed a system that:
Evolves mathematical alpha signals.
Optimizes constants using symbolic regression.
Penalizes complexity using parsimony in the fitness function.
Ranks stocks based on Spearman correlation and IC metrics.
? Proxy Website System for Client Containers
Developed a secure proxy-like website system:
Verifies access tokens.
Tracks usage for billing.
Serves Docker container UIs through official domains with sub-path routing.
⚙️ Autonomous GCP Deployment Manager
Built a system to:
Deploy and scale VM instances on GCP.
Deploy and manage NGINX containers for traffic routing.
Auto-scale based on resource usage (CPU, memory).
Automatically update NGINX config files as new containers are deployed.
? LLM-Based Custom Ad Engine (WIP)
Currently building a personalized ad engine:
Uses user chat history (JSON exports) to extract topics, preferences, intent.
Targets ads or content using GPT-based summary and classification.
Related categories:
Business, Accounting, Human Resources & Legal
Python
Amazon Web Services
Node.js
AngularJS