Digital Resume

Yash Salunke | Software Engineer × ML Engineer

Yash Salunke

Yash Salunke

omyash.ys@gmail.com | ysalunk1@jh.edu

LinkedIn | GitHub

Seattle, Washington

Professional Summary

I’m a software engineer who builds dependable, user-facing systems at the intersection of backend engineering, mobile development, applied machine learning, and data science.My work spans production systems and research-driven projects, with a consistent focus on clean system design, data quality, and practical, responsible AI integration.

Technical Skills

Java
Spring Boot
Python
Swift/SwiftUI
Node.js
TypeScript
Angular
React
AWS
Azure
Docker
Jenkins
MongoDB
MySQL
REST APIs
CI/CD
Machine Learning
iOS Development
Microservices
Git/GitHub
Jun 2025 - Present

Data Science Intern- CCC Intelligent Solutions, United States

  • Developed a SwiftUI iOS app for 360° vehicle video capture, integrating Core Motion, GPS, and REST APIs for real-time analytics
  • Deployed on-device damage detection using AWS Bedrock, Java microservices, and MemoryDB, improving inference accuracy by 22%
  • Optimized frame extraction and streaming (2 FPS) pipelines via Dockerized services, reducing poor captures by 40% and improving ML data quality
Aug 2024 - Present

Software Engineer (Part-Time) - Johns Hopkins University, United States

  • Built and automated Azure CI/CD pipelines with GitHub Actions, cutting deployment time by 60% and improving uptime
  • Refactored backend APIs in Java and Python, enhancing caching and query efficiency; improved response latency by 50%
  • Tuned MongoDB/SQL indexing and implemented telemetry dashboards with Grafana, sustaining 99.9% uptime under load
Jan 2024 - Jun 2024

Student Worker (Analyst) - Nasdaq, India

  • Validated and tested Java-based trading applications, reducing post-release defects by 20%
  • Analyzed market trends, partnering with PMs to define features, driving a 15% increase in user engagement
  • Managed SQL database workflows and contributed UI enhancements that improved user satisfaction by 25%
Jun 2023 - Aug 2023

Software Developer Intern - Six Ladders Pvt Ltd., India

  • Built Node.js + React modules with AWS RDS backend, boosting performance and scalability by 30%
  • Refined SQL operations on AWS RDS, ensuring data integrity and reducing retrieval time by 40%
  • Designed and launched company website, enhancing user experience by 35%
Aug 2024 - Present

Master of Science in Computer Science - Johns Hopkins University

GPA: 3.8/4.0

Coursework: Natural Language Processing, Object Oriented Programming, Intro to Algorithms, Deep Learning, Machine Learning

Aug 2020 - May 2024

Bachelor of Technology in Computer Engineering - KJ Somaiya College of Engineering, Mumbai

GPA: 9.33/10.0 | Honours in Data Science

Coursework: Data Structures, OOP, Advanced Database, Algorithms Design, Cloud Computing

Aug 2024 - Present

Hazard Perception Research Platform - Johns Hopkins University

Tech Stack: Azure, Java, Python, CI/CD

  • Built a cloud-based research platform to support large-scale behavioral studies
  • Designed backend experiment logic and data pipelines for accurate data collection
  • Enabled real-time analytics and automated reporting to support research analysis
Jun 2025 - Present

360° Car Inspection System - CCC Intelligent Solutions

Tech Stack: SwiftUI, Core Motion, AWS Bedrock, Docker

  • Developed an iOS pipeline using on-device GenAI for real-time vehicle inspection
  • Implemented ML-driven frame quality assessment to improve capture reliability
  • Integrated with cloud-based processing services for scalable analysis workflows
Jan 2023 - May 2023

Metabolic Syndrome Prediction - Research Publication

Tech Stack: Python, XGBoost, SHAP, Machine Learning

  • Conducted a comparative ML study across 9 models on a 2,400-patient clinical dataset
  • Applied XGBoost with SHAP-based interpretability for explainable healthcare predictions
  • Published results in Procedia Computer Science (Elsevier)
Feb 2025 - May 2025

LLM-BPE-BERT - Academic Project

Tech Stack: Python, PyTorch, NLP, Transformers

  • Built a custom BERT-based pipeline using Byte Pair Encoding (BPE) tokenization
  • Implemented and evaluated models for downstream NLP tasks and semantic analysis
  • Achieved competitive performance across benchmark datasets
Jan 2021 - May 2021

VoiceYourID - Security Project

Tech Stack: Python, GMM, MFCC, React, PWA

  • Developed a speaker identification system using Gaussian Mixture Models and MFCC features
  • Achieved 88% accuracy in voice-based authentication experiments
  • Built a Progressive Web App to support cross-platform access and deployment

Publications

Metabolic Syndrome Prediction

Procedia Computer Science (Elsevier) | ICMLDE 2023, Volume 235, 2024

Evaluated 9 machine learning classifiers on 2,400-patient dataset. XGBoost achieved 95% training and 88.97% testing accuracy.

Smart City IoT Research

IEEE Conference Publication | 2024

Research on smart city technologies and Internet of Things applications for urban infrastructure.

Achievements

  • Winner - Nasdaq Hackathon (Innovative Trading Solutions)
  • 2nd Place - Edelweiss Market Hackathon (Financial Technology)
  • 2 Published Research Papers (Elsevier & IEEE)
  • 20+ Completed Projects (Backend, iOS, ML, Full-Stack)
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