Senior AI Engineer with 5+ years of hands-on experience across machine learning, software engineering, applied AI, research, and production systems.

I currently support SanMar as a Senior AI Engineer, building enterprise Agentic AI and Generative AI systems.

Previously, I supported Microsoft as a Senior AI Engineer / Applied Scientist, working on production-grade AI systems, LLM-powered services, recommendation and fraud/risk systems, distributed microservices, and agentic workflows on Azure.

I hold an M.S. in Electrical and Computer Engineering — Machine Learning & Data Science from the University of Southern California (USC).

• 🤖 Generative AI & LLM Systems

  • Agentic AI and multi-agent workflows
  • Retrieval-Augmented Generation (RAG)
  • LLM orchestration and tool use
  • Prompt engineering
  • Evaluation and observability
  • Vector search and semantic retrieval

• 🧠 Machine Learning & Deep Learning

  • NLP and Computer Vision
  • Recommendation systems
  • Graph Neural Networks
  • Reinforcement Learning
  • Fraud / anomaly detection
  • Classification and predictive modeling

• ⚙️ Production AI & Software Engineering

  • Python, C#, C++, Java, SQL
  • REST APIs and distributed microservices
  • FastAPI / Django / .NET
  • React / TypeScript / Vue.js

• ☁️ Cloud, MLOps & Infrastructure

  • Microsoft Azure, Azure AI Foundry, Azure ML, Azure OpenAI
  • AKS / Kubernetes
  • AWS
  • Docker and CI/CD
  • Model monitoring and evaluation
  • SQL Server, Cosmos DB, PostgreSQL, Vector Databases

Jul 2026 – Present

• Building Agentic AI / Generative AI systems
• Developing production AI services and enterprise AI workflows
• Working across AI engineering, software engineering, and scalable production systems

Consulting engagement via Machine Learning Technologies LLC / AG Consulting Partners. Internal consulting title: Principal Consultant.

May 2025 – Jul 2026

• Built scalable distributed microservices and REST APIs using C#/.NET, Azure, and AKS
• Developed and optimized RiskEngine and recommendation systems for fraud detection and anomaly scoring
• Built LLM-powered search, recommendation, and agentic workflows
• Worked with Azure AI Foundry, Azure ML, Azure OpenAI, SQL Server, Cosmos DB, and KQL
• Developed production telemetry, observability, and model-monitoring systems
• Built AI tooling using GitHub Copilot and Model Context Protocol (MCP)

Legal/Payroll Employer: AG Consulting Partners (May–Sep 2025) → Machine Learning Technologies LLC (Oct 2025–Jul 2026). Vendor: AG Consulting Partners.

Jul 2024 – May 2025

• Developed ML and Generative AI systems using Python, NLP, and deep learning
• Built data integration pipelines using Python, SQL, AWS, and Azure
• Worked with PyTorch, TensorFlow, ONNX, and NVIDIA Triton
• Developed predictive and simulation systems for industrial safety applications

Client engagement via Tweak Coders LLC, my legal/payroll and STEM OPT employer.

Mar 2024 – Jul 2024

• Built a web-based Data Asset Management platform
• Developed ML / NLP workflows using BERT and GPT-based models
• Integrated a RAG-based chatbot
• Worked on AWS-based CI/CD and deployment infrastructure

Early-stage startup role during OPT.

Technical Advisor (Part-Time / Advisory) — Aug 2024 – May 2025

• Continued providing occasional technical guidance on software architecture, AI/ML initiatives, and product development.
• Advisory work was concurrent with full-time employment.

Aug 2023 – Mar 2024

• Developed Qt/C++ systems for embedded and industrial applications
• Worked with ARM processors, Yocto Linux, SPI, MQTT, and GPIO
• Built Python/Django APIs and React-based tooling
• Improved system reliability, performance, and real-time sensor processing

May 2020 – Aug 2021

• Co-founded and technically led a digital-services venture delivering websites, online business presence, digital portfolios, branded templates, and digital solutions for businesses, universities, and education-focused clients
• Designed and built client-facing web experiences, defining information architecture, content structure, and digital workflows across websites, portfolios, social platforms, and multimedia content
• Led end-to-end client delivery from requirements gathering and solution design through implementation, quality review, and stakeholder coordination

Focus: Digital Design & Web Solutions.

Built graph-based ML models for predicting gene-disease relationships using:

• Graph Attention Networks (GAT)
• GraphSAGE
• Graph embeddings
• Biomedical graph data
• AUC-ROC / F1 evaluation

🔗 View Repository

Developed a retrieval-augmented chatbot architecture using:

• LangChain
• LlamaIndex
• LLM APIs
• Vector search
• Retrieval pipelines
• Context-aware response generation

Built an AI-assisted job application generation system using:

• Retrieval-Augmented Generation
• LLMs
• Weaviate
• Vector embeddings
• Resume parsing
• Personalized text generation

Deep-learning system for recognizing American Sign Language gestures using:

• CNN
• ResNet50
• PyTorch / TensorFlow
• Computer Vision
• Image classification

🔗 View Repository

Built an AI-powered text-to-video generation workflow using:

• Hugging Face Diffusers
• Generative AI
• GPU acceleration
• Prompt engineering
• Deep learning inference

Distributed-data and analytics project using:

• Python
• SQL / MySQL
• Distributed file processing
• MapReduce concepts
• Data analytics

🔗 View Repository

Master of Science — Electrical and Computer Engineering
Specialization: Machine Learning & Data Science

Relevant areas:

• Machine Learning
• Deep Learning
• NLP
• Computer Vision
• Distributed Systems
• Databases
• Cloud Computing
• Data Engineering
• Information Retrieval
• Algorithms

Bachelor of Technology — Electronics & Communication Engineering

• Microsoft Azure AI Fundamentals (AI-900) — In Progress
• Career Essentials in Generative AI — Microsoft & LinkedIn
• Vector Databases Professional Certificate — Weaviate
• Docker Foundations Professional Certificate

• Generative AI & Microsoft Copilot
• Responsible AI / Generative AI
• Advanced AI: Transformers for Computer Vision
• Machine Learning with Python
• CITI Research Training:
  • Biomedical Human Subjects
  • Research HIPAA
  • GCP / Social & Behavioral Research

• Chairperson — IEEE BVM Student Branch NPSS Chapter
• Organizing Lead — Virtual Visit on Modern Physics (VVMP'20)
• Organizing Director / Team Lead — International Tech Conclave 2020
• Public Relations Specialist — IEEE BVM Student Branch
• IEEE Power & Energy Society Brand Ambassador
• IEEE Computer Society — Student Member
• IEEE Industry Applications Society — Student Member

Deputy President — Dec 2021 to Jul 2023

Grader — Advanced Linear Algebra for Machine Learning

• ISTE Student Volunteer
• NSFT — Marketing & Registrations Lead
• Gujarat Industrial Hackathon — Registration Team Member

Jun 2022 – Nov 2022

Worked on geospatial analytics, ML, and large-scale imagery processing for school-bus infrastructure planning.

May 2022 – Aug 2022

Worked on deep learning, predictive analytics, and research applications.

Dec 2020 – Jul 2021

Worked on:

• Computer vision
• U-Net segmentation
• Satellite imagery
• CUDA / NVIDIA GPU processing
• PCA / K-Means
• Geospatial machine learning

Smart Hexagonal Slot MIMO Antenna for Wideband Application
Indian Patent Application No. 202121000544 A
Filed: Jan 6, 2021 | Published: Jan 29, 2021
Role: Co-inventor / Applicant

Officially published by the Indian Patent Office.
Search by application number: 202121000544 A.

Python C++ C# Java SQL JavaScript TypeScript Bash Scala

PyTorch TensorFlow Scikit-learn Hugging Face LangChain LlamaIndex
OpenCV XGBoost Graph Neural Networks Transformers

RAG Agentic AI LLM Evaluation Prompt Engineering
Azure OpenAI Azure AI Foundry Vector Search MCP LLM Observability

Azure AWS AKS Kubernetes Docker CI/CD MLflow NVIDIA Triton

PostgreSQL SQL Server MySQL Cosmos DB MongoDB Vector Databases

.NET Django FastAPI React Vue.js REST APIs Microservices

Qt ARM Yocto Linux SPI MQTT GPIO

I'm currently focused on:

• Production-grade Agentic AI platforms
• Scalable LLM inference and retrieval systems
• AI evaluation and observability
• Multi-agent systems
• Context optimization
• Vector search infrastructure
• Reliable AI microservices
• ML systems operating at enterprise scale

• LinkedIn: linkedin.com/in/rudrax-dave
• GitHub: github.com/RudraxDave
• Email: rudraxdave.contact@gmail.com