Venkata Bhanu Teja Pallakonda

About Venkata Bhanu Teja Pallakonda

I am a Senior AI Engineer at Armada, specializing in multi-agent AI systems, large language models (LLMs), and agentic frameworks. My work focuses on developing advanced AI solutions that can reason, plan, and execute complex tasks across various domains.At Armada, I architect multi-agent AI systems that assist customers with queries on their proprietary, time-sensitive data. I\'ve designed AI assistants using specialized agents with Retrieval-Augmented Generation (RAG) capabilities and created graph-based frameworks for dynamic agent interactions. My technical implementation includes full-stack AI development with model fine-tuning, backend API development, and infrastructure management on Azure AKS with optimized GPU configurations.Previously as an AI Engineer at Armada, I developed history-persistent chatbots using LLMs with RAG approaches and implemented hands-free features using ASR (Whisper) and TTS (StyleTTS2) technologies. I built scalable systems using Redis for queuing and Kubernetes for deployment.My experience includes implementing machine learning pipelines at Productiv, where I designed an automated system to parse customer contracts. As a Research Assistant at Texas A&M University, I enhanced pancreatic cancer prediction using advanced machine learning techniques. At Fincare Small Finance Bank, I engineered an NLP-based banking chatbot and designed core NLP components with privacy considerations.I hold a Master\'s degree in Computer Science from Texas A&M University and am proficient in Python (PyTorch, TensorFlow, OpenCV, Sklearn, Rasa, FastAPI), JavaScript, React.js, SQL, Docker and Kubernetes. I\'ve contributed to various open-source projects and developed software solutions across domains including voice conversion and image classification.I\'m passionate about building AI systems that can understand, reason, and interact naturally with humans while solving complex real-world problems.

Experience

1. Senior Ai Engineer

   Armada

   Mar 2025 — Present · Bellevue, WA, US

   Recruited as the first AI Engineer and a founding member of the AI team. Led the architecture and development of an advanced multi-agent AI system to provide customers with real-time insights from proprietary data. Designed and implemented the company\'s core multi-agent framework from the ground up, utilizing Retrieval-Augmented Generation (RAG) to power specialized AI assistants. Engineered a graph-based architecture to enable dynamic, flexible communication patterns between agents, establishing the standard for cohesive system behavior. Drove the full-stack development of the AI platform, including model fine-tuning, backend APIs, and scalable agent services with robust data isolation and synchronization. Established the MLOps practice by deploying, managing, and optimizing Kubernetes clusters on Azure (AKS), configuring specialized GPU nodes and engineering backend pod orchestration.

Education

• Texas A&M University

  Master of Science - MS, Computer Science

• Indian Institute of Technology Tirupati

  Bachelor's degree, Electrical and Electronics Engineering

  2015 — 2019