2.5+ yrs
Engineering experience
internships + co-op
Open to Software Engineering roles · 2026
Hi, I'm Kush.
Hi, I'm Kush.
I build scalable backend & data systems.
>Backend Engineer
Software engineer focused on backend services, cloud-native data platforms, and AI-powered products — built with Python, Java, and modern web stacks, and shipped to production on AWS & GCP.
● Kush Jayesh Ahir
Python · Javabackend & APIs
AWS · GCPcloud-native
9
Shipped projects
backend · cloud · AI · data
3
Research papers
architecture & NLP
3.71/4.0
M.S. GPA · RIT
software engineering
M.S.RIT · 2025
Python+ Java
AWS+ GCP
About
Backend, cloud & data — built for production.
I'm a software engineer with hands-on experience across backend development, data pipelines, and cloud-deployed systems. I work primarily in Python and Java, building scalable APIs and services with Flask and Spring Boot and wiring them into modern front-ends like React.
I've deployed and operated applications on AWS and GCP using Docker and Kubernetes, and designed data solutions across PostgreSQL, MySQL, MongoDB, BigQuery, and Elasticsearch. Alongside engineering, I deliver analytics and reporting with SQL, Tableau, and Power BI to support data-driven decisions.
I work effectively in Agile teams — from sprint planning through delivery — and I'm comfortable breaking down ambiguous problems into reliable, scalable solutions, independently or cross-functionally.
Related coursework
Engineering Cloud Software Systems
Software Architecture
Database Design & Implementation
Non-Relational Data Management
Foundations of Data Science & Analytics
Software Quality Assurance
Model-Driven Development
Stack
Tools I build with
The technologies and practices I reach for to ship scalable, reliable software — grouped by where they live in the stack.
Languages & Frameworks
core engineering
JavaPythonC++JavaScriptTypeScriptReactNext.jsNode.jsFlaskSpring BootSwift
Cloud & DevOps
ship & scale
AWSAzureGCPDockerKubernetesGitHub ActionsJenkinsCI/CDVercelLinux
Databases
relational & NoSQL
PostgreSQLMySQLMongoDBNeo4jSnowflakeBigQueryRedis
Data & Analytics
pipelines & BI
SQLPower BITableauSparkElasticsearchETL PipelinesData Visualization
Testing & QA
reliability
SeleniumJUnitTestNGPytestPlaywrightBDDUnit Testing
Practices
foundations
Data Structures & AlgorithmsSystem DesignObject-Oriented DesignAgileCS Fundamentals
Selected work
Projects built to hold up in real use
Product, AI, and data-heavy builds where I focused on reliable architecture, strong backend systems, and the details that matter in production.
Sendloom
Sequence-sending platform for campaign setup, template previews, Gmail SMTP delivery, lead finding, and controlled send execution — built around a reliable queueing model.
Next.jsPostgreSQLRedisSMTP
Examora
AI-assisted exam authoring platform combining React, Node.js, AWS, and LLM workflows to generate question sets, rubrics, and difficulty signals end-to-end.
ReactNode.jsAWSPlaywright
EquiPay
Group expense-splitting app with real-time balances, receipt OCR via Textract, and settlement workflows.
React NativeFlaskAWS
PersonaCraft
Character-chat app where users define traits, lore, and tone, then hold dynamic GPT-powered conversations with generated personas.
PythonFlaskLLM
NeoHub
Neo4j and D3 tool for exploring GitHub Archive contribution networks across millions of nodes, repos, and commits.
Neo4jD3.jsData Viz
CrimeAtlas
MERN crime-intelligence platform mapping LA incidents, enriching them with Street View imagery, and surfacing geospatial patterns.
MERNMongoDBGoogle Cloud
BudgetWise AI
Cloud-hosted personal-finance platform with predictive analytics, Dockerized services, and AWS deployment for scalable reporting.
AWSDockerAnalytics
Price Compare Plus
React Native shopping companion comparing cross-retailer pricing, with wishlists and live product data via backend APIs.
React NativeAPIsMobile
ICRS
Recommendation system that helps students evaluate college options through Java, Flask, and MySQL-backed scoring and ranking workflows.
JavaFlaskMySQL
Journey
Where I've shipped
Co-op and internship roles across data & analytics, backend microservices, and AI/ML engineering.
Dashboard Developer (Co-op)
May 2025 – Dec 2025Rochester Institute of Technology — Institutional Research, Data & Analytics
Architected backend data services and analytics pipelines for high-volume institutional reporting. Delivered SQL- and Power BI–driven dashboards by translating stakeholder requirements into insights, integrated heterogeneous data sources, and automated ingestion workflows to improve reporting reliability and end-to-end data accuracy.
Course Assistant
Aug 2024 – May 2025Rochester Institute of Technology
Provided targeted instruction in software processes and development tooling, mentoring students through setup and project work. Delivered critical feedback and personalized support that improved project outcomes and class performance across the cohort.
Software Engineer Intern
Jan 2023 – May 2023Axisray Pvt Ltd
Developed and optimized backend microservices in Java and Python within a distributed system. Built Flask-based REST APIs for reliable service-to-service communication, improved throughput and runtime stability across legacy services, and enhanced maintainability through modular Spring Boot components and comprehensive unit testing.
Data Science & AI/ML Engineering Intern
May 2022 – Oct 2022Moon Technolabs Pvt Ltd
Contributed to production-scale analytics and system integrations. Executed distributed data-processing pipelines with Spark and C++ on AWS, built Python service layers and REST APIs to unify HRMS and CRM platforms, and supported automated deployments that improved release quality and cross-system data consistency.
Background
Education
M.S. Computer Software Engineering
Rochester Institute of Technology · Minor in Data Science
Focused on backend systems, cloud-native development, and data-driven software engineering — designing and optimizing scalable APIs, analytics pipelines, and distributed systems with Python, Java, Spring Boot, SQL, AWS, and GCP.
View certificateB.E. Electronics & Communication
L. J. Institute of Engineering & Technology · Gujarat Technological University
Built a strong foundation in core engineering and analytical problem-solving, with an appreciation for the interplay of hardware and software that shaped my path into software engineering. First Class with Distinction.
Publications
Research
Writing at the intersection of software architecture, security, and applied NLP.
Equifax Data Breach: A Software Architecture Perspective
Dissects the 2017 Equifax breach from a software-architecture standpoint — unpatched Apache Struts, weak monitoring, and legacy debt — and proposes microservices, automated patching, and Zero Trust as mitigations.
Legacy Systems in Open Source: Design Pattern-Based Refactoring
Applies Factory, Observer, Strategy, and other patterns to reduce complexity in legacy open-source code. SonarQube and JaCoCo results show measurable cyclomatic-complexity reductions across an online cab-booking system.
Review of DISTO: Textual Distractors for MCQ Reading Comprehension via Negative Sampling
Evaluates the DISTO metric for assessing MCQ distractors using negative-sampling strategies and transformer models like DistilRoBERTa, critiquing BLEU-style metrics and discussing multilingual and scalability limitations.
Resume
The one-page version, ready to share.
A concise overview of my experience, projects, and stack — open it in your browser or download a copy for your records.
Contact
Let's build something.
Have a role, project, or idea in mind? I'm open to full-time software engineering opportunities and collaborations — send a note and I'll get back to you within a day or two.
kush.ahir2024@gmail.com