Software Engineer with AI and Backend Focus

Yuvraj Goyal

470-***-**** ***************@*****.*** linkedin.com/in/yuvraj github.com/Yuvraj-goyal Education

Georgia State University Atlanta, GA

Bachelor of Science in Computer Science (GPA: 3.7)August 2020 – May 2024 Projects

SupportOps AI – Ticket Triage

● Orchestrated AI-powered ticket triage workflow that classifies requests, predicts priority, and generates draft customer responses to accelerate support operations

● Implemented a RAG knowledge layer over internal SOPs using embeddings + ChromaDB, returning source-grounded suggestions to reduce hallucinations

● Produced structured outputs to auto-fill ServiceNow & Jira-style fields, improving consistency and handoff quality

● Added quality/evaluation checks to support iterative improvements to prompts, chunking, and retrieval settings ChatPDF – Multimodal RAG (Enterprise Document Q&A)

● Engineered an AI document intelligence pipeline that turns complex PDFs (text/tables/images) into a searchable knowledge system, generating context-aware answers via GPT-4 multimodal

● Designed an ingestion strategy using unstructured + by_title chunking to preserve section context and reduce noisy retrieval

● Built a scalable retrieval layer with ChromaDB and doc_id-based metadata linking to enable efficient multimodal lookups Experience

KGS Technologies Atlanta, GA

Software Developer Jan 2025 – Present

● Developed Python-based backend APIs with Flask to support React web apps, focusing on scalability and performance

● Built an internal “ChatGPT-style” GenAI assistant using RAG (embeddings + vector search) over company knowledge to deliver source-grounded Q&A for employees, improving self-service access to internal data and documentation

● Integrated third-party APIs and implemented unit tests while assisting in setting up CI/CD pipelines using GitHub Actions

● Collaborated with a 6-person Agile team, helped plan sprints, and reviewed 10+ pull requests every sprint cycle Merck & Co.Rahway, NJ

Full-stack Software Engineering Co-op July 2024 – December 2024

● Assisted in transition of a complex data management application from R-Shiny to React and Golang to enhance interactivity and application performance by 90%

● Developed RESTful APIs with Spring Web (Java) to improve response time by 50% and scalability by 40% via query optimization, caching, and async processing

● Designed a cost-estimator app using React, Node.js, and NoSQL to enable project production costs with 95% accuracy

● Streamlined 900K+ vaccine production records using Python and PostgreSQL to reduce data preprocessing time by 70% and improve data pipeline efficiency by 40%

● Leveraged DBeaver to create and execute complex SQL queries that filtered out 200K rows of redundant records, optimizing data quality and pipeline performance

US Renal Care Nashville, TN

Programmer Intern June 2023 – August 2023

● Engineered a React-based web application for improving data accessibility of patient dialysis data and medication records to doctors and boosting customer satisfaction metrics by 20%

● Reduced application deployment cycles by 30% using Jenkins on Linux-based systems to optimize CI/CD pipelines while collaborating with DevOps team

● Resolved 12+ critical client-reported issues including data syncing errors, UI crashes, and slow load times to elevate system reliability by 30%

● Contributed in developing a reusable components library in React to streamline development workflows and save 100+ engineering hours per month

Skills

Languages: Java, JavaScript (including React), HTML, Golang, CSS, PHP, SQL, Python, C, Excel Frameworks/Technologies: React, Node.js, Spring Boot, Flask, Docker, Kubernetes, MongoDB Tools: Git, Jenkins, JIRA, Confluence, AWS, Heroku, VS Code, Linux, Postman, PyCharm, IntelliJ, PowerBI, Tableau AI/GenAI: RAG, Multimodal RAG, Prompt Engineering, Embeddings, ChromaDB (Vector Search), Document Parsing

(unstructured), Structured Outputs (JSON Schema), LLM Evaluation (Relevance/Groundedness), AI Ethics & Privacy Courses: DeepLearning.AI — Generative AI with LLMs Databricks — Lakehouse Fundamentals Microsoft — Work Smarter with AI (Microsoft 365)

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