Los Angeles, CA / USC MSCS 2028 Open to SWE / AI roles
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Hello, I'm
Atharv.

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Java Python AWS RAG
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Engineer.

I build backend, cloud, and AI systems that make complex information easier to search, reason over, and use. Currently engineering RAG workflows at J.P. Morgan Chase and heading to USC for my MS in Computer Science in Fall 2026.

Atharv Sandeep Patil
University of Southern California / Los Angeles, CA

Master of Science in Computer Science

Aug 2026 - May 2028 (Expected)

National Institute of Technology Surat / Surat, India

Bachelor of Technology in Computer Science & Engineering

Aug 2020 - Jan 2024 / CGPA: 8.75/10 / First Class with Distinction

Java
Spring Boot
Python
AWS
SQL
React
JavaScript
LLM
RAG
Docker
01
SDE II Jan 2026 - Jun 2026

Software Development Engineer II

J.P. Morgan Chase & Co.

Extended a RAG application with client-in-context workflows across five specialized sub-agents, improving response relevance for nearly 200 financial advisors asking client-specific questions with real-time data retrieval.

Led modernization from ChromaDB to AWS OpenSearch and from a custom Python RAG implementation to an agentic framework built on Google ADK.
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SDE I Jan 2024 - Jan 2026

Software Development Engineer I

J.P. Morgan Chase & Co.

Worked across backend, cloud, and data modernization for private banking systems, including Spring Boot microservices, AWS Lambda ETL pipelines, RAG advisor workflows, and high-volume reporting tools.

Re-architected an offset calculator processing around 600K records from nearly 2 hours to about 8 minutes, integrated 15 years of legacy mainframe data into AWS Lambda ETL pipelines, and migrated the RAG service from AWS EKS to AWS ECS to reduce infrastructure costs by about 30%.
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Intern May 2023 - Jul 2023

Software Engineer Program Intern

J.P. Morgan Chase & Co.

Optimized an internal query-language-to-SQL parser using Spring Boot, lowered response latency, added Databricks SQL dialect support, and built nested data retrieval with Apache Calcite.

Improved query reliability and retrieval speed by adding Databricks SQL support and nested data retrieval for complex internal query workflows.
Undergraduate Researcher / SVNIT Surat / Jul 2023 - Dec 2023

Intent-Based Legal Case Retrieval

Designed and fine-tuned an intent detection module to classify legal queries and generate accurate Cypher queries for retrieving case details from a Neo4j-based legal property graph.

Enabled intent-based retrieval of 9,377 Supreme Court cases using Wit.ai and Neo4j, achieving an intent detection F1 score of 0.89 while improving accessibility for lawyers and the public.

Procedia Computer Science / ICMLDE 2025
Certification

Amazon AWS Certified Developer - Associate

April 2026

Certification

MERN Stack Front To Back

Udemy course covering MongoDB, Express, React, and Node.js full-stack development

Leadership

Web Development Lead

Google Developer Student Clubs, NIT Surat / 2022-23

Leadership

Logistics Lead

Hack The Tank, 24-hour Pan-India Hackathon ft. Shark Tank India entrepreneurs / 100+ participants

Leadership

Video Editor Lead

Renesa, Media and Publication House, NIT Surat / 2022-23

Atharv creative side showcase

Let's
Build.

atharvsa@usc.edu patilatharv1801@gmail.com Los Angeles, CA LinkedIn GitHub Resume