Khushi Patel
Software Engineer focused on frontend quality, full-stack ownership, and reliable system delivery.
I build polished productsthat hold up in production.
Product-minded software engineer who ships polished frontend experiences and reliable full-stack systems, from architecture and implementation to production readiness.
Open to roles: Software Engineer · Frontend · Full-Stack
Engineering Impact
50+ shipped features and 15M+ users reached
Owned end-to-end execution across UI, APIs, and data workflows, partnering with cross-functional teams to ship roadmap priorities with high release quality.
AI + Data Capability
RAG workflows, forecasting, and anomaly modules
I apply machine learning and LLM tooling where it improves decision quality and product outcomes.
How I Work
Calm with messy, high-friction problems
I break complex problems into clear milestones, communicate tradeoffs early, and drive implementations that balance speed, maintainability, and user impact.
About
Engineer with Product Sense
I'm an MS Software Engineering candidate at San Jose State University with prior full-time experience delivering customer-facing features at scale. I focus on building software that is intuitive for users, maintainable for teams, and dependable in production.
My working style is product-oriented and execution-driven: align on requirements, design clean interfaces, implement across the stack, and iterate with feedback and measurable outcomes. I'm comfortable with ambiguous problems, and I value direct communication, strong ownership, and shipping quality work.
Education
Academic Foundation
Formal training in software engineering, data science, and applied machine learning.
Expected May 2026
San Jose State University
Master of Science, Software Engineering (Data Science Specialization)
GPA 3.7/4.0. Relevant coursework: Software Systems Engineering, Web UI Design, Enterprise Software Platforms, Data Mining, Machine Learning, and Deep Learning.
May 2023
L.J. Institute of Engineering & Technology
Bachelor of Engineering, Computer Engineering
GPA 4.0/4.0. Built strong foundations in DSA, DBMS, AI/ML, web development, computer networks, and software engineering principles.
Experience
Professional Experience
Software engineering experience across product features, production reliability, and full-stack execution.
May 2025 - Aug 2025
Software Engineer Intern
Rooteam · Brooklyn, NY
- Resolved a long-standing checkout race condition causing pricing and quantity inconsistencies, improving transaction reliability.
- Refactored frontend lifecycle timing to eliminate edge-case failures under double-click, resize, and slow-network scenarios.
- Designed and implemented a cron-based backend scheduler with retries, readiness checks, and locking for concurrent import stability.
- Redesigned Asana/Harvest connector sync flows to reduce recurring production integration errors.
Jan 2023 - Jul 2024
Software Developer
Odoo · Gandhinagar, India
- Shipped 30+ features for Odoo ERP applications used by 15M+ users.
- Delivered full-stack functionality across CRM, SMS, Documents, Events, Mail, and Social modules within CI/CD release cycles.
- Improved Documents module performance by approximately 20% through profiling and refactoring.
- Resolved complex cross-layer issues spanning frontend behavior, backend logic, and PostgreSQL queries.
Jun 2022 - Jul 2022
ReactJS Intern
Elsner Technologies Pvt. Ltd · Ahmedabad, India
- Built practical proficiency in JavaScript (ES6) and React fundamentals including components, props, hooks, state management, routing, and JSX.
- Developed two web applications, TrackEx (Expense Tracker) and Food-Genie (Food Delivery), with API integration and user-centric frontend flows.
- Optimized frontend performance and interaction quality, reducing page load time by approximately 30% while improving usability.
Projects
Selected Work
A balanced portfolio of full-stack products, AI/ML systems, and frontend-led applications with measurable outcomes.
LaunchSmart: AI Pre-Launch QA Platform
AI-powered release readiness workspace that helps teams verify UI, review PRs, score launch risk, and push issues into engineering workflows.
- Built a four-stage Gemini 2.5 Flash pipeline that maps product specs to screenshots, detects UI gaps, and outputs structured launch blockers with severity, fixes, confidence, and a deterministic 0-100 launch score.
- Implemented an autonomous PR checker using GitHub diffs and optional Jira acceptance criteria to return ship or no-ship verdicts with implemented-versus-missing breakdowns.
- Added one-click GitHub Issues, Jira, Slack, report history, AI follow-up chat, and Supabase-backed auth/storage with local fallback when the database is unavailable.
Next.jsSupabaseGemini 2.5 FlashGitHub APIJira APISlack API
StratIQ: Multi-Agent AI Decision Platform
Decision intelligence platform combining multi-agent orchestration, retrieval-augmented generation, and anomaly monitoring.
- Built Analyst/Researcher/Planner/Arbiter pipelines for structured enterprise decision workflows.
- Integrated vector-embedding retrieval to blend structured KPIs with unstructured documents.
- Implemented anomaly modules and evaluation benchmarks for retrieval-enhanced output quality.
PythonRAGVector EmbeddingsReactLLM Evaluation
Restaurant Finder
Yelp-style restaurant discovery platform with reviews, ratings, admin workflows, and business owner dashboards.
- Built React UI with Google Maps API for location-aware search and filtering.
- Implemented Node.js + MongoDB backend with secure role-based access for users, owners, and admins.
- Deployed to AWS ECS with load balancing, auto-scaling, and modular REST API design.
ReactNode.jsMongoDBGoogle Maps APIAWS ECS
Supply Chain Demand Forecasting
Forecasting and anomaly analytics pipeline for seasonal demand planning and inventory risk detection.
- Built ARIMA and XGBoost models with RMSE and cross-validation based evaluation.
- Performed exploratory analysis to identify seasonal demand behavior and volatility patterns.
- Delivered Tableau dashboards to support operations and planning decisions.
PythonARIMAXGBoostTableauPandas
Eatscape: Recipe Recommender
Recommendation engine over 500,000+ recipes based on ingredients, dietary preferences, and nutrition goals.
- Implemented KNN with Ball Tree indexing for efficient similarity search.
- Built feature embeddings and evaluated model quality using precision, recall, and F1-score.
- Designed recommendation flows optimized for dietary preference filtering.
PythonKNNBall TreeFeature EmbeddingsModel Evaluation
SocieT: Society Management System
Comprehensive web application for residential society operations, designed and delivered with a team of four.
- Led implementation of visitor logs, parking slots, event scheduling, maintenance reminders, and resident FAQ chatbot workflows.
- Built frontend with HTML, CSS, and Bootstrap, and backend using PHP and JavaScript.
- Used SQL database design patterns for efficient storage, retrieval, and scalability.
HTMLCSSBootstrapPHPJavaScriptSQL
Skills
My Tech Toolkit
A curated set of technologies I use to ship scalable products, from user interfaces to backend services and AI-enabled workflows.
Programming Languages
PythonJavaScript (ES6+)TypeScriptCJavaPHP
Frontend Development
React.jsNext.jsVue.jsHTMLCSSSCSSTailwind CSSBootstrapjQueryOWL
Backend, APIs, and Databases
Node.jsREST APIsPostgreSQLSQLMongoDBETL Pipelines
Data Science, AI, and LLM
PandasNumPyscikit-learnXGBoostTensorFlowPyTorchMatplotlibRAGVector EmbeddingsSimilarity SearchAnomaly DetectionModel EvaluationTableau
Testing, DevOps, and Cloud
JestQUnitPytestUnit TestingIntegration TestingHootCI/CDJenkinsAWSDockerKubernetes
Tools and Collaboration
GitHubBitbucketJiraAsanaSlackPostmanFigmaAgileScrumMicrosoft OfficeGoogle Workspace
Contact
Let's Build Something Valuable
Get in Touch
I'm open to full-time and internship roles where I can contribute to product engineering, frontend execution, and robust full-stack delivery. If your team values ownership, clear communication, and thoughtful implementation, I'd love to talk.
Current Location:
- San Jose, California, USA
- Open to relocate anywhere in the US.