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Currently at DKube

Revanth Kumar Yamani

AI Engineer & Solutions Architect building Generative AI systems that hold up in production.

Machine Learning/Generative AI/Applied Research
View experienceLinkedInGitHubLos Angeles Metropolitan Area
Years building software
5+Years building software
Years shipping production AI
2.5Years shipping production AI
USC — ML & Data Science
MSUSC — ML & Data Science
UCLA — Computer Engineering
BSUCLA — Computer Engineering

01 — About

I lead the design and delivery of production-grade AI systems — from discovery and architecture through implementation and deployment. My work centers on building and scaling Generative AI platforms: retrieval-augmented generation, agentic workflows, and document intelligence, held together by evaluation frameworks that tell you when a system is actually working.

Before Generative AI became the work, it was the research — a Transformer question-answering architecture at Infosys in 2020, NLP over large-scale review corpora at USC ISI, and a computer engineering foundation at UCLA. The through-line is the same one that matters now: understanding a system well enough to know when it is genuinely working, and not merely appearing to.

02 — Experience

Where the work happened

Six roles across enterprise AI, academic research, and full-stack engineering — plus four years running operations for a Division I program.

  1. AI Engineer / Solutions Architect

    Current

    DKube · Full-time

    Apr 2024 — Present · 2 yrs 6 mos · Mountain View, CA · Remote

    Production-grade AI systems, end to end: Generative AI platforms spanning RAG, agentic workflows and document intelligence, supported by robust evaluation frameworks.

    • Lead end-to-end delivery of enterprise AI solutions, from problem definition through production rollout
    • Develop and scale Generative AI platforms including RAG pipelines and agent-based workflows
    • Build evaluation frameworks to analyze system performance, reliability and model behavior
    • Architect data ingestion and processing pipelines for large-scale, accurate retrieval
    • Partner with engineering and product to translate requirements into scalable solutions
    Generative AIRAGAgentsKubernetesEvaluation

  2. Graduate Student Researcher

    USC Information Sciences Institute · Part-time

    Jul 2023 — Apr 2024 · 10 mos · Marina del Rey, CA · Remote

    • Conducted analytics research on large-scale Yelp review text to surface actionable insight for restaurant owners and staff, using NLP, statistical analysis and machine learning
    • Explored customer sentiment and category-specific feedback to uncover behavioral signals and operational improvements
    • Researched secure and efficient distributed machine learning workflows
    NLPStatistical ModelingNumPyDistributed ML

  3. Software Engineer

    OSI Digital

    Jun 2021 — Jul 2022 · 1 yr 2 mos · Irvine, CA · Hybrid

    • Built responsive customer-service web interfaces in JavaScript, CSS and AngularJS — components that integrated with existing frameworks and, where needed, replaced them outright
    • Drove component and design decisions in Angular applications to improve user experience and long-term maintainability
    • Tested and hardened application security for online retail customer flows
    JavaScriptAngularJSCSSData Analysis

  4. NLP Intern, Center for Emerging Technologies

    Infosys · Internship

    Jun 2020 — Aug 2020 · 3 mos · Bengaluru, India · Remote

    • Explored a novel Transformer architecture for question answering, targeting more efficient customer service and text summarization
    • Trained and tested models on GPU, benchmarking accuracy and efficiency against existing baselines
    • Presented findings and deployment recommendations for question-answering use cases
    TransformersQuestion AnsweringNumPyGPU Training

  5. Web Engineering Intern

    OSI Digital

    Jun 2018 — Sep 2018 · 4 mos · Hyderabad, India · On-site

    • Worked from company headquarters, solo and on teams, for international clients across a wide range of software needs
    • Full-stack development on a banking application using AngularJS, Python and MySQL
    • Built an interface helping a cosmetics company detect counterfeit sales through customer testimonials and wide-scale product tracking
    AngularJSPythonMySQLFull Stack

  6. Men's Tennis Student Manager

    UCLA Athletics

    Sep 2017 — Jun 2021 · 3 yrs 10 mos · Los Angeles, CA · On-site

    • Sole manager for a nationally ranked NCAA Division I program
    • Supported coaching staff across match preparation, social and advertising graphics, and event logistics nationwide
    • Ran team events and itineraries for a dozen-plus road trips, plus donor and fan events supporting program funding
    OperationsMedia RelationsLogistics

03 — Projects

Selected work

Applied machine learning, from recommender systems to adversarial language detection.

Movie Recommendation Engine

A deep learning engine recommending films from what a viewer has already watched and liked. Cosine-similarity search over genre, cast and studio budget, with careful normalization across dissimilar data fields to keep results honest.

Deep LearningRecommendersSimilarity Search
View on GitHub

Propaganda Detection in News & Social Media

Machine learning models for detecting propaganda techniques in text, built for the SemEval 2020 shared task — classifying persuasive and misleading language patterns across news and social content. Text preprocessing, feature engineering, model training and task-specific evaluation.

NLPText ClassificationSemEval 2020

04 — Skills

Toolkit

AI & Machine Learning

  • Generative AI
  • Retrieval-Augmented Generation
  • Agentic Workflows
  • Document Intelligence
  • Evaluation Frameworks
  • Transformers
  • Deep Learning
  • Natural Language Processing

Data & Research

  • Statistical Modeling
  • Data Analysis
  • Exploratory Data Analysis
  • NumPy
  • Distributed ML
  • GPU Training

Platform & Engineering

  • Python
  • Kubernetes
  • Data Pipelines
  • JavaScript
  • AngularJS
  • MySQL
  • CSS

05 — Education

Foundations

University of Southern California

M.S., Machine Learning & Data Science

Electrical and Computer Engineering

Aug 2022 — Dec 2023

GPA 3.7 · Master's Honors Program · Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering

UCLA

B.S., Computer Engineering

Henry Samueli School of Engineering

2017 — 2021

Coursework: Data Science · Neural Networks & Deep Learning · Natural Language Processing · Data Structures · Internet of Things · Operating Systems Principles · Computer Organization · Logical Design of Digital Systems · Digital Signal Processing

Volunteering

Special Events Committee Co-Lead, Orange County Youth Leadership Team

American Red Cross

Contact

Building something that needs to actually work?

Always glad to talk about Generative AI systems, retrieval architecture, evaluation, or the gap between a demo and production.

Connect on LinkedInGitHub