VR

About Vikranth Reddimasu

I'm a Research Engineer at Surge AI, working on reinforcement learning tasks and verifiable software environments for coding agents. I like building the whole product, from the model and evaluation to the backend and interface. I'm based in the San Francisco Bay Area.

I built Arya, which reached 72% accuracy on Databricks' OfficeQA benchmark in Sentient Arena Cohort 0 with one 6.3 KB system prompt. My projects also include MacFleet for distributed training across Apple Silicon Macs, PronounceAI for pronunciation feedback and voice conversion, WealthAgent for financial analytics, and a Pac-Man agent that learns through reinforcement learning and a world model. Steve Jobs Stack is a set of coding-agent skills I released for product decisions and reviews. See all projects.

Previously, I worked on AI document processing and underwriting at CRE Brains, first as an AI Engineer Intern and then as an AI Product Engineer. I co-founded Zero Sols during college and helped grow it to six people, shipping more than twenty applications for paying clients. I also completed an AI/ML internship at AWS.

Experience

Research Engineer, RL, Surge AI

Sep 2026 to Present · Remote · Contract

  • Designing reinforcement learning tasks and verifiable software engineering environments for training and evaluating frontier coding agents.
  • Developing task specifications, evaluation criteria, and feedback signals that target complex reasoning, tool use, and end-to-end coding performance.

AI Product Engineer, Stealth AI Startup (CRE Brains)

May 2026 to Jul 2026 · Remote · Part-time

  • Built on earlier document processing work to help develop AI underwriting features, turning information from leases and financial documents into analysis users could review when evaluating properties.

AI Engineer Intern, Stealth AI Startup (CRE Brains)

Mar 2026 to May 2026 · Remote · Internship

  • Worked on AI document processing at CRE Brains, helping extract and organize information from commercial real estate documents for property analysis and underwriting.

Co-Founder, Zero Sols

Aug 2023 to Jul 2024 · India · Part-time

  • Co-founded and ran a software studio through college, growing it to a team of 6. Recruited and directed students and engineers, set the technical direction, and owned client relationships and delivery.
  • Shipped 20+ production applications for paying clients. Stayed hands-on with architecture and the hardest parts of the build while delegating the rest.

AI/ML Intern, Amazon Web Services (AWS)

Dec 2022 to Mar 2023 · Hyderabad, India (Remote) · Part-time

  • Built and evaluated machine learning models for internal, data-driven projects. Ran data cleaning, preprocessing, and exploratory analysis to lift data quality and model performance.
  • Supported feature engineering, training, and validation on structured and unstructured datasets, and contributed to testing, monitoring, and deployment in cloud environments.
  • Worked with engineers and data scientists to analyze results, document findings, and improve model workflows.

University Innovation Fellow, University Innovation Fellows

Oct 2022 to May 2024 · VVIT, India

  • Helped run design thinking workshops that reached more than 5,000 students across multiple universities, and represented VVIT at the Stanford Silicon Valley Meet-up in March 2023.
  • Worked with the UIF team on VVIT Ecosys and with Earth Sitters to reduce plastic waste. Helped launch Campus Shark Tank with mentors, resources, and pitch opportunities, and a foreign language club that reached hundreds of students and supported exchange with fellows abroad.
  • Served on the editorial board of Change Forward Journal, third edition, and authored two published articles.

Education

M.S. in Data Science

University of Maryland, College Park

Aug 2024 to May 2026 · GPA 3.85/4.0

Coursework: Deep Learning, Advanced Machine Learning, Natural Language Processing, Big Data Systems, Principles of Machine Learning, Algorithms.

B.Tech in Artificial Intelligence & Data Science

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

Aug 2020 to May 2024 · GPA 3.6/4.0

Coursework: Probability & Statistics, Machine Learning, Big Data Analytics, Design & Analysis of Algorithms, Data Structures, AI Tools & Techniques, Automata Theory, Operating Systems.

Certifications

Skills

AI & ML

Generative AI, Agentic AI, LLMs (Claude, OpenAI, Llama, Minimax), RAG, Text2SQL, LLM Fine-tuning & Distillation, Prompt Engineering, Benchmark Optimization, Distributed Training (DDP, DeepSpeed), Transformers, NLP, Reinforcement Learning, PPO, World Models, Coding Agents, Reinforcement Learning Environments, LLM & Agent Evaluation, Semantic Search, Machine Learning System Design, Deep Learning, Feature Engineering, Model Building, Pattern Recognition, Sentiment Analysis, AI Ethics and Privacy, Neural Network Architecture, Policy Gradients, Reward Shaping.

Frameworks

LangGraph, LangChain, LlamaIndex, OpenHands-SDK, Goose, PyTorch, TensorFlow, FastAPI, React, Next.js, Pydantic, WebSockets, MLX, Horovod, Scikit-Learn, Hugging Face Transformers, Ollama, llama.cpp, Gradio, Pillow, Optuna, Electron, REST APIs.

Languages

Python, SQL, R, TypeScript, Bash, Pyth.

Databases & Cloud

PostgreSQL, ChromaDB, PGVector, Docker, CI/CD, GitHub Actions, HuggingFace Spaces, OpenRouter, Git, Amazon Web Services (AWS), AWS Architecture, AWS Cloud Services, Building Infrastructure on AWS, Database Management Systems.

Distributed Systems

PyTorch Distributed Systems, Metal Performance Shaders (MPS), CUDA, High Performance Computing (HPC), Gradient Compression, gRPC, Zeroconf/Bonjour, Ring AllReduce, NCCL, SLURM.

Data & Visualization

Pandas, NumPy, Matplotlib, Plotly, Streamlit, Jupyter, yfinance, Data Science, Data Analytics, Exploratory Data Analysis, Data Processing, Data Extraction, Web Scraping, Data Visualization, Statistics, Statistical Inference, Statistical Simulation, Bayesian Inference, Time Series Analysis, Health Informatics.

Product & Leadership

Product Development, Design Thinking, User Interface Design, User Experience Design, UX Research, Web Development, Computer Engineering, Algorithms, Data Structures, Research Skills, Project Management, Leadership, Teamwork, Communication, Organization Skills, Problem Solving, Analytical Skills, Decision-Making, Hands-on Training, Social Entrepreneurship, Personal Branding.

Languages

  • English: Native or bilingual proficiency
  • Hindi: Full professional proficiency
  • Spanish: Limited working proficiency
  • Telugu: Native or bilingual proficiency

Campus work and writing

As a Stanford University Innovation Fellow, I helped run design thinking workshops for more than 5,000 students and attended the Silicon Valley Meet-up in March 2023. I served on the editorial board of Change Forward Journal and wrote two published articles.

At VVIT, I worked on the Ecosys sustainability initiative, helped launch Campus Shark Tank and a foreign language club, and took part in Entrepreneurship Cell and Bharat Blockchain Yatra activities. Read about the work and publications.

I'm interested in founding engineer roles at early-stage startups building AI products. Get in touch.