2
2
India
4+ years of experience
Systems Architect, Multi-Agent AI Developer & Indie Music Producer. Founder of Gupta Ventures & DuskyMoon Productions. Creator of SwarmForge (Zero-Cost Multi-Agent AI Orchestrator) and Win-Optimizer-Pro (Rust/Tauri Native Utility). Bridging the gap between autonomous intelligent systems, high-performance software, and sound design.

SwarmForge is an autonomous, lights-out multi-agent software factory built for the BAND Desktop ecosystem. Operating with zero external runtime dependencies in pure Python 3.11 standard library, SwarmForge organizes software engineering into three generic standing seats: 1. Seat 1 (The Architect): Ingests project briefs, decomposes specifications into topological DAG execution waves, and enforces quality gates. 2. Seat 2 (The Builder): Implements modular, idempotent software systems across 4 distinct buildable stages. 3. Seat 3 (The QA Verifier): Executes AST syntax diff inspections, runs automated test suites, and triggers autonomous self-healing loops upon detecting defects. Key Technical Innovations: - Deterministic Kahn's Algorithm DAG wave scheduler with cycle detection. - Self-healing AST verification engine passing 11/11 stage tests in under 0.1 seconds. - Fully synchronized BAND Room telemetry export (Room ID: c0a3f1d2-51fd-41e4-9d70-72b938761fd4) capturing handoffs and audit logs with 100% autonomy.
6 Oct 2026

Problem Statement & Challenge Modern software development with autonomous multi-agent AI systems faces a critical barrier: high computational costs and steep proprietary API pricing. Independent developers, students, and research teams cannot afford hundreds of dollars in API tokens to run complex multi-agent coding loops, creating an accessibility gap. The SwarmForge Solution SwarmForge is an enterprise-grade, zero-cost multi-agent AI orchestrator that solves this problem. It introduces a hybrid architecture combining IBM watsonx / Bob 2.0 as the central cloud architect with local autonomous execution agents. How Users Interact 1. Goal Submission: Users provide high-level software requirements via a clean desktop interface or CLI. 2. DAG Decomposition: The system decomposes the goal into a Directed Acyclic Graph (DAG) of isolated tasks. 3. Parallel Wave Execution: Specialized subagents (architect, coder, tester, refactorer) execute in isolated sandboxes without human babysitting. 4. Automated Verification: The pipeline validates all generated code against automated test suites before committing. Uniqueness & Impact - Zero API Costs: Leverages native CLI environments and free local reasoning tools. - Enterprise-Grade Reliability: Validated with 74/74 automated end-to-end tests. - Democratic AI: Brings cutting-edge multi-agent engineering directly to resource-constrained developer setups.
27 Sep 2026