Open to workAI-readable

Vikranth
Reddimasu

ML Engineer building AI systems that scale.

Resume ↗

Clifford Attractor

A chaotic system where deterministic equations produce infinite complexity.

x = sin(a·y) + c·cos(a·x)

y = sin(b·x) + d·cos(b·y)

a = 0.000

b = 0.000

c = 0.000

d = 0.000

Clifford Attractor

Projects

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Pac-Man AI: From Reinforcement Learning to World Models

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A PPO agent learns to play Pac-Man, then an RSSM world model learns to dream the game, and a dream agent learns to play entirely inside those dreams.

PythonPyTorchPPORSSMNumPyMPS

WealthAgent: Multi-Agent AI for Financial Analytics

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Multi-agent AI system using LangGraph and Claude for financial analytics and trade cost analysis.

PythonLangGraphAnthropic ClaudeFastAPIReactPostgreSQLDocker

MacFleet: Distributed ML for Apple Silicon

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Pool Apple Silicon Macs into a distributed ML training cluster with auto-discovery, adaptive compression, and thermal-aware scheduling.

PythonPyTorchMLXgRPCmDNSRing AllReduce

Offline Notebook LM

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Ask questions about your own documents and get answers, entirely offline. No cloud, no data leaving your machine.

PythonElectronReactFastAPIChromaDBsentence-transformers

GAN for MNIST Synthesis

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Generative Adversarial Network trained on MNIST and deployed as a live demo on HuggingFace Spaces.

PythonPyTorchGradioHuggingFace SpacesDocker

Distributed Transformer Training with Horovod

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Custom GPT-style transformer trained from scratch on BookCorpus using Horovod across 4x H100 GPUs, from raw data to text generation.

PythonPyTorchHorovodNCCLSLURMHuggingFace

Skills

AI & ML

Generative AIAgentic AILLMs (Claude, OpenAI, Llama)RAGText2SQLLLM Fine-tuning & DistillationDistributed Training (DDP, DeepSpeed)TransformersNLP

Frameworks

LangGraphLangChainLlamaIndexPyTorchTensorFlowFastAPIReactPydanticWebSockets

Languages

PythonSQLRTypeScriptBash

Databases & Cloud

PostgreSQLChromaDBPGVectorDockerCI/CDGitHub ActionsHuggingFace Spaces

Data & Visualization

PandasNumPyPlotlyStreamlitJupyteryfinance

Education

M.S. in Data Science

2024 — 2026

University of Maryland — College Park

GPA: 3.85

Deep LearningAdvanced Machine LearningNatural Language ProcessingBig Data SystemsPrinciples of Machine Learning

B.Tech in Artificial Intelligence & Data Science

2020 — 2024

VVIT (Vasireddy Venkatadri Institute of Technology) — Guntur, India

GPA: 3.6/4

Probability & StatisticsMachine LearningBig Data AnalyticsDesign & Analysis of AlgorithmsData StructuresAI Tools & TechniquesAutomata TheoryOperating Systems

Beyond the Code

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Leadership, workshops, publications, and the experiences that shaped how I think about building things.

Stanford Silicon Valley Meet-up

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March 2023

Invited to Stanford University as a University Innovation Fellow for the Silicon Valley Meet-up, connecting with fellows and innovators from across the globe.

University Innovation FellowsStanfordLeadershipInnovation

Design Thinking Workshops

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2023 — 2024

Co-facilitated Design Thinking workshops at multiple universities as a UIF team, impacting over 5,000 students through hands-on sessions on empathy, ideation, and prototyping.

Design ThinkingWorkshopsEducationLeadership

Change Forward Journal — Editorial Board

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2022 — 2023

Served as Editorial Board Member for Stanford UIF's Change Forward Journal 3rd edition and authored two published articles on innovation in higher education.

Stanford UIFPublicationsEditorial BoardWriting

Zero Sols

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2022 — 2023

Founded a startup providing web development and UI/UX design services for local businesses and student organizations.

StartupWeb DevelopmentUI/UXEntrepreneurship

Resources

Frameworks and methodologies that shape how I think and build.

The Golden Circle

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Simon Sinek's framework for starting with 'Why', and how it shapes every project I build.

FrameworkLeadershipStrategy

Design Thinking

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A human-centered approach to problem-solving that starts with empathy and ends with tested prototypes.

MethodologyUXProblem Solving

About

I'm an AI/ML Engineer and full-stack developer pursuing an M.S. in Data Science at the University of Maryland. I build production-grade agentic AI systems, generative AI applications, and data-driven platforms — from multi-agent architectures and conversational AI to end-to-end applications using Python, LangGraph, FastAPI, and React.

I'm passionate about applying emerging AI technologies to solve real-world problems — particularly in wealth management and financial services. I'm drawn to teams building innovative, client-centric solutions where I can design and deploy systems that actually ship to production.