AB

ADARSH BALANOLLA

GenAI Engineer - Building AI Agents and Intelligent Systems that Accelerate Engineering Cycles

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I build AI systems that Accelerate engineering workflows.

At Tessolve Semiconductors, I architected a multi-agent Generative AI platform used by hundreds of engineers to streamline semiconductor design workflows. The system integrates into existing EDA toolchains, enabling engineers to interact with AI-driven interfaces.

By augmenting the traditional design flow with AI, the platform converts manual, hours-long engineering tasks into instant AI-assisted interactions, enabling teams to focus on high-value design work.

My open-source work extends this philosophy - building frameworks that make AI agent orchestration accessible to every developer. The goal is always the same: measurable impact, not just technical novelty.

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Featured Work

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Hail Hydra

Open-Source Multi-Agent Framework for Claude Code

A production-grade multi-agent orchestration framework that turns Claude Code into a team of specialized AI agents. Routes tasks to optimal sub-agents (Haiku, Sonnet, Opus) based on complexity, cutting API costs by ~50% while maintaining quality.

  • 1,000+ npm downloads in first 3 weeks
  • Featured on social developer channels
  • Fully open-source with active community contributions
TypeScriptClaude CodeMulti-Agent Systemsnpm
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AI Agents for Semiconductor Engineering

Enterprise AI Platform - Tessolve Semiconductors

Architected and deployed a fleet of GenAI agents that automate repetitive semiconductor engineering workflows - from datasheet Q&A to automated code review and test generation - reducing cycle time by 50%.

  • 50% reduction in engineering cycle time
  • 5,000+ daily requests across engineering teams
  • 99.99% platform uptime in production
PythonLangChainAWS BedrockRAGFastAPIReact
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OpenAI Red-Teaming

Adversarial AI Safety Research

Conducted systematic adversarial testing of OpenAI language models to identify failure modes, biases, and safety vulnerabilities. Developed novel attack strategies and documented findings to improve model robustness.

  • Identified critical edge cases in model safety filters
  • Published methodology and findings on Kaggle
  • Contributed to broader AI safety research community
PythonPrompt EngineeringAdversarial MLNLP

About

Software Developer specializing in Generative AI and intelligent automation. At Tessolve Semiconductors, I architect AI agent systems that transform how semiconductor engineers work - replacing hours of manual processes with intelligent, self-improving pipelines. My approach combines deep technical knowledge of LLMs, retrieval-augmented generation, and cloud infrastructure with a relentless focus on measurable engineering impact.

Education

The University of Texas at Dallas

Master of Science in Business Analytics

Concentration: Applied Machine Learning

Scholar with Recognition

Leadership

Vice President

Graduate Student Assembly, UT Dallas