Open to new opportunities

Sami Koneru-Ansari

Building ML systems from the ground up.

EECS at UC Berkeley. Currently at Piris Labs building ML infrastructure for LLM inference on B200 GPUs. Previously founding engineer at DreamIt and ML at TokenWorks, with CUDA kernels and from-scratch paper reimplementations on the side.

GitHub LinkedIn Email Resume

PythonC++CUDAPyTorchSGLangRustTypeScriptReactNode.jsPostgreSQLLangChainDockerKubernetesGCPAWS

Education

University of California, Berkeley

B.S. Electrical Engineering and Computer Science · 4.0 GPA

Relevant coursework

Data Structures and Algorithms
Machine Learning
Machine Structures
Signal Processing
Computer Networks
Discrete Mathematics
Probability Theory
Linear Algebra

Work experience

Machine Learning Engineer Intern

Piris Labs · Remote

June 2026 — Present

Building ML infrastructure to optimize LLM inference on B200 GPUs with automated GCP deployment, SGLang serving, and latency/throughput/cost benchmarking, as groundwork for custom photonics hardware.
Researching scheduling, batching, and speculative decoding to serve GLM 5.2 at 483 tok/s, 23% over Databricks.

SGLangCUDAGCPKubernetes

Founding Software Engineer

DreamIt · Berkeley, CA

Feb 2026 — May 2026

Directed a 3-person engineering team shipping end-to-end Rust features for an early-stage no-code gaming app, scaling to 1,400+ users.
Architected an async Claude API pipeline that generates playable games from natural-language prompts.

RustClaude API

Data Science Intern (Part-time)

TokenWorks · Remote

Feb 2026 — May 2026

Fine-tuned transformers (BART) to lemmatize, tag, and translate low-resource Sumerian across 200,000+ aligned tokens from OCR-processed cuneiform.
Stored results in a containerized 1,400-item Wikibase knowledge graph of the Sumerian lexicon.

PyTorchBARTDockerWikibase

Machine Learning Engineer (Contract)

GetGreen · Remote

Sept 2025 — Dec 2025

Engineered a RAG chatbot using LangChain and ChromaDB for semantic search over 1,000+ scraped articles, answering sustainability questions in under 3 seconds.
Scraped and processed the retrieval corpus with BeautifulSoup, pandas, and SQL.

LangChainChromaDBpandasSQL

Software Development Intern

California Department of Technology · Rancho Cordova, CA

May 2024 — July 2024

Built full-stack web apps with HTML/CSS/JS for the frontend, Node.js for the backend, PostgreSQL for relational data, and JWT authentication to manage scheduling and file sharing for 100+ employees.
Managed datasets of 500+ employees and 70+ clients using SQL and Excel to drive operational reporting.

Node.jsPostgreSQLJWTSQL

Featured projects

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CUDA CNN

Machine Learning

CNN built from scratch in C++/CUDA with hand-written backprop, im2col, and GEMM kernels. No deep-learning or matmul libraries. 99%+ on MNIST at ~50% the throughput of an equivalent PyTorch model on T4 GPUs.

C++CUDA

GPT-2 from scratch

Machine Learning

124M-parameter decoder-only transformer with causal self-attention and learned positional encodings, following “Attention Is All You Need.” Optimized CUDA training for an 11× speedup over the unoptimized baseline.

PyTorchCUDAPython