Adithya Yerramsetty
AI ENGINEER · APPLIED AI · AGENTIC AI · LLM ENGINEERING
Professional profile
AI Engineer with 1.5+ years of professional experience designing and building production-oriented AI platforms, agentic workflows, and enterprise LLM applications. Primary AI engineer for Nivan.AI, developing LangGraph-based agents, MCP integrations, RAG workflows, and LLM-powered root-cause analysis. Experienced with secure multi-tenant Kubernetes services across AWS and GCP, PostgreSQL Row-Level Security, enterprise Bedrock retrieval, applied AI research, and end-to-end software and data engineering.
Professional experience
AI Engineer | Nivanix · Nivan.AI Platform
June 2025 – Present · Full-time
- Primary AI engineer for a multi-cloud operations and governance platform across AWS and GCP.
- Built LangGraph agents, MCP integrations, RAG workflows, and LLM-powered root-cause analysis.
- Contributed to telemetry pipelines, human-approved automation, PostgreSQL RLS, and Kubernetes services.
AI / Data Engineer | Tyndale · Enterprise AI Data Lake & Chatbot
October 2026 – Present · Contract engagement
- Building AWS ingestion and transformation workflows for enterprise content.
- Implemented Amazon Bedrock Knowledge Bases and grounded retrieval workflows.
- Developing Node.js integrations and supporting Terraform and CI/CD delivery.
Research & technical experience
Research Aide | ASU Logos Lab
2025 – 2026
- Developed Python/PyTorch transformer models for 3D reconstruction and articulated physical models.
Computer Vision Research Engineer | ASU Dream Lab
October 2024 – August 2025
- Built research pipelines for NASA lunar datasets, occupancy networks, synthetic data, and few-view NeRF studies.
Data Science & Machine Learning Intern | Silicon Valley Bank
June 2022 – January 2023
- Applied graph learning and vector search to investor relationships; classified investment information into 25 categories.
Selected technical work
- Visual SLAM: first-principles visual odometry, camera tracking, pose estimation, and backend optimization; numerical components reached approximately 45 FPS.
- Autonomous robotics: prototypes spanning perception, localization, SLAM, controls, and mission-level software.
- Financial agent: policy-checked Solana USDC transaction workflow designed for approval and settlement in under 15 seconds.
- SVB: vector-search relationship discovery identified approximately 30% more missing investor connections; text analysis covered 25 categories.
- Model experiments: approximately 100M-parameter language-model pretraining and diffusion-model reproduction.
Technical skills
AI & machine learning: LLMs, Transformer architectures, Model pretraining, Diffusion models, RAG, Vector search, Agentic systems, NLP, Computer vision, PyTorch, JAX, OpenCV, BERT.
AI application engineering: LangGraph, MCP, OpenRouter, Amazon Bedrock, REST APIs, Backend integrations, AI orchestration, Knowledge retrieval.
Robotics & perception: Visual SLAM, Visual odometry, 3D reconstruction, Sensor processing, Spatial estimation, Numerical optimization, Autonomous systems, Synthetic data, Controls.
Data engineering: AWS data lakes, Amazon S3, Kinesis Firehose, Data ingestion, ETL/ELT, PostgreSQL, MongoDB, FAISS, Data modeling.
Cloud & infrastructure: AWS, GCP, Kubernetes, Docker, Terraform, Linux, CI/CD, WireGuard.
Software engineering: Python, C/C++, Node.js, JavaScript, TypeScript, React, Next.js, REST APIs.
Education & leadership
Arizona State University · B.S. Computer Science; B.S. Mathematics
President & Instructor · ASU Machine Learning Club, December 2021–December 2024. Grew the club to approximately 800 members; won four hackathons and first place in Arizona ASA DataFest.