const build = () => { ... }
if (innovation) return true;
// Engineering the future
$ npm run build-future
import { success } from 'passion';
while(alive) { learn(); }
β†’ Deploying innovation...
let dreams = await reality();
1010011
1100101
0110100
1011010
0101101
1001110
0011011
{'{'}

Engineering scalable

systems that solve

real problems.

{'}'}
_
1010011
0110100
1100101
1011010
0101101
1001110
0011011
1110010
0100110
1101001
// Software Engineer
const optimize = (code) => clean;
$ docker compose up
async function deploy() {...}
import { skills } from '@engineer';
β†’ Building production systems...
while (learning) { grow(); }
class Engineer extends ProblemSolver
πŸ’‘

Hey there!

I'm Yash β€” a software engineer who builds things that matter. From backend systems handling real-world data to on-device ML that runs in your pocket, I love turning complex problems into elegant solutions. If you're looking to collaborate or just want to chat about tech, let's connect πŸš€

Open to Network

<Yash Salunke />

Software Engineer Γ— ML Engineer

Building scalable backend systems, intelligent ML solutions, and native iOS apps with precision engineering.

4+ Years Coding
20+ Projects
2 Publications
Yash Salunke

About Me

Hello, I’m Yash Salunke, a software engineer who enjoys building dependable, user-facing systems that sit at the intersection of backend engineering, mobile development, applied machine learning, and data science. I’m motivated by problems that require thoughtful system design, strong data foundations, and practical AI integration.

My experience spans both production systems and research-driven projects, where I’ve focused on building scalable services, reliable pipelines, and intuitive user experiences. I care deeply about clean architecture, maintainability, and designing systems that are easy to reason about as they grow in complexity.

Much of my work has involved translating ideas into working software from backend services and APIs to mobile interfaces and data-driven components. I enjoy working across layers of the stack and collaborating closely with others to turn ambiguous requirements into robust, well-tested systems.

Outside of core development, I’m particularly interested in how data and machine learning interact with software systems in real-world settings β€” whether that’s improving performance, observability, or decision-making. I value continuous learning and enjoy building things that have tangible impact beyond code.

β€” what i do best

Core Expertise 🎯

Backend & Systems Engineering

I design and build scalable backend systems with a focus on correctness, clean APIs, and real-time data handling. My work spans distributed systems, microservices, and cloud infrastructure.

Machine Learning & Applied AI

I apply machine learning to solve practical problems across healthcare, computer vision, and NLP. I care about model evaluation, interpretability, and data quality.

Mobile & On-Device Systems

I build native iOS applications with emphasis on performance and real-time processing. My work integrates sensors, on-device ML workflows, and backend systems.

Cloud Architecture & DevOps

I architect cloud solutions on AWS and Azure with automated CI/CD pipelines. From containerization to infrastructure-as-code, I ensure reliable deployments.

Research & Data Engineering

I build systems where engineering decisions impact research outcomes. From designing experiments to optimizing pipelines, I focus on technical choices that support analysis.

Full-Stack Development

I develop end-to-end solutions with modern tech stacks including React, Node.js, and Python. My work bridges frontend experiences with robust backend architectures.

β€” check out some

Projects & Experience πŸ’»

β€” research

Publications πŸ“„

β€” career

Work Experience πŸ’Ό

Research / Software Engineer

Johns Hopkins University Jan 2024 – Present
  • Built and maintained a cloud-based research platform for driving hazard perception studies
  • Designed backend experiment logic and data pipelines for high-fidelity behavioral data
  • Implemented real-time data processing and analysis workflows using Azure and Python

Data Science Intern

CCC Intelligent Solutions May 2023 – Dec 2023
  • Built a real-time iOS inspection pipeline using on-device GenAI (FastVLM)
  • Implemented frame extraction, blur filtering, and ML-driven retake workflows
  • Developed SwiftUI applications with Core Motion integration and AWS Bedrock

Data Analyst Intern

Nasdaq Jan 2024 – Jun 2024
  • Developed automated data pipelines and forecasting models for market analysis
  • Built dashboards that significantly reduced reporting time
  • Won Nasdaq Hackathon for developing innovative trading solutions

Data Science & Analytics Intern

Six Ladders Pvt. Ltd. Jun 2023 – Aug 2023
  • Built analytics dashboards and churn prediction models
  • Improved data retrieval performance and user retention
  • Implemented Python-based ETL pipelines for data processing
β€” let's connect

Get In Touch πŸ’¬

Open to new opportunities and collaborations. Feel free to reach out!