Graduated May 2026 · OPT June 2026

Hi, I'm Rigved. I build

MS in Computer Science from CU Boulder · IEEE-published in computer vision · Recently shipped RAG infrastructure at Rule4 and multimodal GenAI products at The Builder Market. Turning research into systems that ship.

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Ask my resume anything

A static RAG demo over my resume and portfolio facts. It ranks embedded snippets in your browser, then assembles a concise recruiter-style answer with the evidence it used.

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11 resume chunks indexed client-side
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    02

    About

    I'm an AI/ML Engineer who likes the messy middle — where research papers become production systems, and "we should try an LLM here" turns into a working RAG pipeline that's actually fast, scoped, and observable.

    As my CU Boulder capstone at Rule4, I built managed RAG infrastructure on AWS Bedrock and OpenSearch — an AI ticket-drafting feature that retrieves client-scoped historical context and orchestrates prompts under a 6-second P95 budget. Earlier, at The Builder Market, I shipped multimodal GenAI tools spanning image generation, smart interior editing, and vision-based home repair analysis.

    Before that, I co-authored an IEEE conference paper on CNN-based plant disease classification (95.8% accuracy on 10 classes). I care about evaluations more than demos, latency budgets more than benchmarks, and shipping more than slideware.

    3.70
    GPA · MS CS
    CU Boulder
    20×
    Precision@5 lift
    over zero-shot baseline
    95.8%
    Accuracy on IEEE
    CNN paper
    6s
    P95 end-to-end
    RAG latency shipped
    03

    Experience

    AI Engineer Capstone

    Rule4, Inc. · Boulder, CO · Hybrid

    Oct 2025 — Apr 2026
    • Built an AI-assisted ticket drafting feature on Rule4's TFox helpdesk platform that generates context-aware titles & descriptions from user input and attachments — Python, Django, AWS Bedrock, OpenSearch.
    • Designed end-to-end RAG pipelines using AWS Bedrock Titan embeddings and OpenSearch kNN search to retrieve top-5 client- and queue-scoped similar tickets for prompt orchestration.
    • Developed backfill and on-save ETL workflows that vectorize historical TFox tickets from MySQL into an OpenSearch index, lifting draft relevance and semantic search across past tickets.
    • Shipped feedback & analytics dashboards tracking retrieval behavior and P95 latency across embedding, search, and generation stages — end-to-end latency of 6 seconds.
    PythonDjangoAWS BedrockOpenSearchMySQLRAG

    AI Product & Prototyping Intern

    The Builder Market · Los Angeles, CA · Remote

    Jun 2025 — Sep 2025
    • Built Angular image generation workflows backed by NestJS REST APIs, integrating Azure OpenAI GPT Image 1 and Black Forest Labs Flux for text- and image-based home design generation.
    • Engineered 3 smart interior editing tools for paint, object replacement, and surface reskinning using GPT-4o image analysis, reference-image inputs, and Sharp-based masking, bounding boxes, and feathering logic.
    • Developed a multimodal DIY repair analysis flow with GPT-4o Vision converting uploaded home images into 4-part repair guidance: tools, materials, repair steps, and cost/time estimates.
    AngularNestJSTypeScriptAzure OpenAIGPT-4o VisionSharp
    04

    Selected Projects

    IEEE Published Nov 2023 — Mar 2024

    Image-Based Tomato Leaf Disease Classification

    First-authored an IEEE conference paper on a CNN for multiclass tomato leaf disease classification, benchmarked against SVM, ResNet, MobileNet, DenseNet, and InceptionV3. Trained a 4-layer CNN (16/32/64/128 filters, ReLU, global average pooling) on PlantVillage with OpenCV preprocessing & augmentation.

    95.8% accuracy · 10-class classification
    DOI: 10.1109/INCOS59338.2024.10527655 ↗
    PythonTensorFlowCNNOpenCV
    Full-Stack · GenAI Mar — May 2025

    Mind Bloom — AI Mental Health Journal

    Full-stack mental health journal app where users log daily mood-based entries and receive personalized inspirational quotes generated from their journal context. Built a React + TypeScript frontend on a Node.js + PostgreSQL + Prisma backend, integrated the OpenAI API for mood-to-quote mapping. Deployed on GCP & Vercel.

    ReactTypeScriptNode.jsPostgreSQLPrismaOpenAIGCPVercel
    In Production 2025 — 2026

    RAG Infrastructure @ Rule4

    Managed RAG pipelines on AWS Bedrock + OpenSearch powering ticket drafting at the TFox helpdesk platform. Client-/queue-scoped kNN retrieval, on-save ETL indexing from MySQL, and observability across embedding/search/generation stages.

    AWS BedrockOpenSearchDjangoVector Search
    Multimodal · GenAI 2025

    Smart Interior Editing Tools

    Three GenAI editing tools for paint, object replacement, and surface reskinning. GPT-4o vision analysis pairs with reference-image inputs, Sharp-based masking, bounding boxes, and feathering to produce photorealistic interior edits.

    GPT-4o VisionAzure OpenAIFluxSharpNestJS
    05

    Stack

    GenAI & LLMs

    RAGPrompt EngineeringLLM Fine-tuning Vector EmbeddingsSemantic SearchMultimodal AI AgentsAWS BedrockOpenSearch Azure OpenAIGPT-4o

    ML / Deep Learning

    PyTorchTensorFlowScikit-learn OpenCVCNNsTransfer Learning Recommendation SystemsPandasNumPy Model Evaluation

    Languages

    PythonTypeScriptJavaScript SQLHTMLCSS

    Backend & Web

    DjangoFlaskNode.js NestJSExpressREST APIs ReactAngular

    Cloud & DevOps

    AWS (ECS, RDS, Bedrock, S3, Lambda)Azure AI Foundry GCPDockerGit GitHub ActionsGitLab CIVercel

    Data & Storage

    PostgreSQLMySQLNeo4j OpenSearch (vector)Prisma ORM
    06

    Education

    🇺🇸

    University of Colorado Boulder

    M.S. Computer Science

    Aug 2024 — May 2026 GPA · 3.70 / 4.00

    Boulder, CO, USA

    🇮🇳

    SRM University

    B.Tech. Computer Science & Engineering — AI & ML

    Sep 2020 — May 2024 GPA · 8.99 / 10.00

    Chennai, TN, India

    07

    Let's build something

    I graduated in May 2026, OPT June 2026, and I'm looking for AI/ML Engineer, Software Engineer, and Data Engineer roles across the USA. Open to hybrid, remote, or relocation.