Kush Ise

Product Engineer

San Jose, California, United States9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI-driven solutions for healthcare analytics.
Created enterprise AI knowledge assistant integrating multiple data sources.
Built a production-style AI assistant improving task success rates.

Stackforce AI infers this person is a Full-Stack Developer with a strong focus on AI and Healthcare solutions.

Contact

Skills

Core Skills

Retrieval-augmented Generation (rag)Large Language Models (llm)Full-stack DevelopmentArtificial Intelligence (ai)

Other Skills

Google Cloud Platform (GCP)AI AgentsPythonFastAPIFlaskReactElectronFAISSNeo4jgRPCBERTReact.jsBack-End Web DevelopmentAPI DevelopmentESLint

About

Master’s in Computer Science at the University of California, Riverside, with a Bachelor of Engineering in Computer Engineering from Pimpri Chinchwad College of Engineering. Recent roles include Software Engineer Intern at IntraIntel.ai, where contributions focused on building retrieval-augmented generation (RAG)-based multi-agent systems for clinical and medical question answering. Experience spans developing enterprise AI knowledge assistants, optimizing retrieval systems using Neo4j and FAISS, and creating robust AI-driven software workflows. Proficient in RAG, GCP, and web services, with a focus on integrating large language models to enhance decision-making processes and streamline technical operations.

Experience

9 mos

Total Experience

4 mos

Average Tenure

Current Experience

Intraintel.ai

Software Engineer Intern

Jun 2025 – Sep 2025 · 3 mos · Fairfax, Virginia, United States · Remote

Software Engineering Intern – AI / Platform Development.
● Built a RAG-based multi-agent system with Model Context Protocol for clinical and medical question answering for healthcare analytics.
Built a RAG evaluation system with Flask/Fast API and React/Electron, reducing testing time by 90% and boosting
model accuracy by over 10%.
● Built an enterprise AI knowledge assistant that unifies intranet, cloud (Google Drive/Dropbox/Box/OneDrive),
and on-device data into a single semantic + graph search experience; cut time-to-information for users via
retrieval-augmented generation (Python, Fast API, FAISS, Neo4j).
● Built a Neo4j-backed Graph-RAG (Cypher/GDS + FAISS/BERT + rerank) that sped up retrieval and improved
grounding/citations for a production LLM assistant (Python, FastAPI, gRPC).
● Built a production-style AI assistant with tool use/function-calling for search, file read, and summarization;
delivered citation-backed answers and improved task success on internal evals.

Retrieval-Augmented Generation (RAG)Google Cloud Platform (GCP)Large Language Models (LLM)Full-Stack DevelopmentAI Agents

Acm@ucr

2 roles

Software Developer

Mar 2025 – Jun 2025 · 3 mos · Riverside, California, United States · On-site

Contributed to building an interactive website for the UCR 3D Club . Developed frontend and backend of website. Integrated Instagram Graph API to dynamically showcase club media.

React.jsFull-Stack DevelopmentBack-End Web DevelopmentAPI DevelopmentESLintnode.js+2

AI Software Developer

Mar 2025 – Jun 2025 · 3 mos · Riverside, California, United States · On-site

Worked on SWE AI Agent Project similar to Devin ai
Developed and optimized an AI-driven SWE Agent using LLM technologies like Hugging Face
Transformers to automate software engineering workflows.Designed machine learning models for code analysis, bug detection, and intelligent recommendations, enhancing developer productivity. Integrated and optimized open-source LLMs (e.g., Deepseek R1, LLama 3.3, GPT-4) for task automation and intelligent decision-making. Collaborated with cross-functional teams, including engineers, and project leads, to integrate AI solutions and ensure continuous improvement through iterative feedback.

Python (Programming Language)Machine LearningAI AgentsArtificial Intelligence (AI)API DevelopmentComputational Statistics+4

Jio platforms limited (jpl)

2 roles

SDE

Jan 2024 – Jul 2024 · 6 mos · Navi Mumbai, Maharashtra, India · On-site

● Built frontend and backend features for AJIO’s e-commerce flows (search, PDP, cart, checkout) to improve speed, reliability, and checkout success.
● Built an internal GPT-4o powered HR chatbot for employees (policies, PTO, benefits, onboarding, ticket routing) that reduced HR queries by ~40–50%reducing HR manual workloads and sped up responses and cut HR tickets
● Developed and optimized UI components in React for order Jio Tira fashion ecommerce website.
● Integrated Jio Pay API for secure payment processing, enhancing user trust and payment reliability.
● Developed APIs with Node.js and Express, along with a React-based admin portal for managing brands, products, and user roles. Implemented a centralized catalog system with MongoDB, enhancing data analysis.
● Developed both the frontend and backend for key features like dynamic form generation, real-time validation, and interactive dashboards, which increased operational efficiency by 30%.

Front-End DevelopmentBack-End Web DevelopmentAPI DevelopmentReact.jsNode.jsMERN Stack+10