Hi, my name is

Yash Narkhede.

I build systems that scale.

Software engineer focused on distributed systems, backend infrastructure, and full-stack platforms. MS CS at Stony Brook University, currently building at Leaniar LLC.

01. About

I'm a Master's student in Computer Science at Stony Brook University. I like building things that work reliably at scale, from distributed database engines to real-time telemetry platforms to workflow automation systems.

Right now I'm a Software Engineer at Leaniar LLC in Irvine, CA, working on an Agentic AI automation platform. Before that, I interned at TATA Power Renewable Energy building real-time data pipelines for inverter telemetry.

I'm graduating in May 2026 and looking for full-time SWE roles.

Yash Narkhede

02. Experience

Software Engineer @ Leaniar LLC

May 2025 - Present · Irvine, CA

Full-stack Agentic AI automation platform. Django, Angular, PostgreSQL, 50+ parallel workers, 30-table schema, CI/CD with Docker.

SDE Intern @ TATA Power Renewable Energy

Nov 2023 - June 2024 · Mumbai

Real-time inverter telemetry platform. Spring Boot, Redis, validation pipelines that reduced bad data by 20%.

03. Research Experience

Research Assistant @ Stony Brook University

Sep 2025 - Dec 2025 · Stony Brook, NY

Built MakoDB, a distributed storage engine on RocksDB with custom MVCC concurrency control and lock-free reservation using atomic CAS operations. Reduced transaction abort rates from 91.6% to 12.8% and improved P99.9 latency by 27%.

04. Featured Projects

MakoDB

A distributed storage engine in C++ with custom MVCC concurrency control. Lock-free atomic CAS operations reduced transaction abort rates from 91.6% to 12.8% and improved P99.9 latency by 27%.

  • C++
  • MVCC
  • WAL
  • Lock-Free
  • Distributed Systems

GoJudge

A full-stack online coding judge with a Go backend and Next.js frontend. Submissions run in isolated Docker containers with resource limits, results stream back via Redis pub/sub, and test cases live on S3.

  • Go
  • Next.js
  • Docker
  • Redis
  • S3

FixGenie

An agentic AI system that autonomously resolves CI/CD incidents. LLM agents reason over build logs using a RAG pipeline backed by FAISS, then validate fixes in Docker sandboxes before merging.

  • Python
  • FastAPI
  • LangChain
  • FAISS
  • Docker

05. Skills

Languages

Python, C++, Java, Go, TypeScript, C, SQL

Backend

Django, Spring Boot, Node.js, FastAPI, Express, gRPC

Frontend

React, Next.js, Angular, Redux

Data

PostgreSQL, MongoDB, Redis, Kafka, Prisma

Infrastructure

Docker, Kubernetes, GCP, AWS, CI/CD, Git

06. Education

MS Computer Science

Stony Brook University · 2024 - 2026

BE Computer Engineering (Hons. AI-ML)

University of Mumbai · 2020 - 2024 · GPA: 3.89/4

Get In Touch

I'm currently looking for full-time SWE opportunities. Whether you have a question or just want to say hi, feel free to reach out.

Say Hello