---
title: "Yash Salunke - Software Engineer in Pune Division | Tal"
description: "Meet Yash Salunke, SWE @Pubmatic | Former SDE Intern @PTC | Aspiring Java Developer | Tech Enthusiast | CS’24 based in Pune Division. AI stack includes claude code, cursor, and hugging face. Explore public work links including github and leetcode."
image: "https://tal.club/meet/yash-143/share-image"
---

# Yash Salunke on Tal

## Headline

SWE @Pubmatic \| Former SDE Intern @PTC \| Aspiring Java Developer \| Tech Enthusiast \| CS’24

## About

Software Engineer with 2\+ years of experience in Java development and Big Data Engineering building scalable, real\-time data systems in the AdTech domain\. Expertise in Apache Spark, Kafka, and Snowflake for processing high\-volume data streams \(100K\+ events/sec\) and delivering near real\-time insights\. Proven track record in designing high\-performance backend systems using Java \(Spring Boot\), improving system observability, and optimizing distributed architectures for scalability and cost efficiency\. Recently focused on GenAI\-driven solutions, building recommendation systems using RAG and hybrid search to enhance campaign efficiency and user experience\.

## Location

Pune Division

## AI stack

claude code

cursor

hugging face

langfuse

langgraph

openclaw

## Work experience

Software Engineer at PubMatic, Jul 2024 \- Present · 2 yrs 1 mo, Pune District, Maharashtra, India · Hybrid, Project & Contributions ● Real\-Time Bid Rejection Troubleshooting Pipeline Built a real\-time analytics and troubleshooting pipeline using Apache Kafka and Spark Streaming, processing 100K\+ bid events/sec with \~92% accuracy\. Delivered near real\-time \(2\-minute batch\) insights via Snowflake and enhanced observability using InfluxDB and Grafana, reducing incident detection time by \~40%\. ● Buyer\-Side Reporting Pipeline Developed a buyer\-side reporting pipeline for winning impressions using batch processing, storing data in HDFS and Snowflake to enable scalable and efficient reporting\. ● Fluid Timezone Support Implemented dynamic timezone\-aware reporting capabilities, enabling accurate, localized reporting across global timezones and significantly improving user experience\. ● Redis Sentinel Cluster on Kubernetes Led a POC to set up a Redis Sentinel\-based distributed caching system on Kubernetes and implemented it across data access services, reducing API response time by \~30–40% and improving system scalability and resilience\. ● GenAI\-Based Ad Inventory Recommendation System Designed and deployed a GenAI\-powered recommendation system using K\-Means clustering, RAG architecture, and hybrid search \(BM25 \+ vector embeddings on Milvus\), improving campaign efficiency by 35% and recommendation relevance by \~89%\. ● GenAI Service Optimization Optimized FastAPI\-based GenAI services using asynchronous processing, Redis caching, and prompt persistence, reducing latency by \~45% and achieving \~8 seconds average response time\.

Software Engineer Intern at PubMatic, Jan 2024 \- Jun 2024 · 6 mos, Pune District, Maharashtra, India · Hybrid, ● Observability Tool Contributed to an observability platform for monitoring Apache Spark jobs, capturing key execution metrics such as runtime, executor usage, and cost, enabling performance optimization and cost analysis\.

Java Developer at Onshape, a PTC Technology, Jul 2023 \- Dec 2023 · 6 mos, Kalyani Nagar

## Education

Bachelor of Technology \- BTech, Computer Engineering, Pimpri Chinchwad Education Trust'S\. Pimpri Chinchwad College Of Engineering

Rayat Shikshan Sansthas R\.B\.Narayanrao Borawake College, Shrirampur, Dist\.Ahmednagar 413709

## Public links

- github: https://github\.com/Yas18
- leetcode: https://leetcode\.com/Yas\_18

[View the original profile](https://tal.club/meet/yash-143)

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