Available for Summer 2026 Internships
Kedar Hegde
Software Engineer
CS graduate student at SDSU (Spring 2027) with 3 years of software engineering experience across India and Japan, building scalable full-stack applications, developer tooling, and distributed systems. Experienced in frontend architecture, backend services, cloud infrastructure, and observability, with a strong focus on performance, reliability, and system scalability. Fluent in English and Japanese, currently seeking Software Engineering opportunities starting May 2027.
Experience
My professional journey
SDSU Privacy-Preserving Generative AI Lab
San Diego, CA
Research Assistant
Apr 2026 - Present- •Developed the PSyGen privacy-preserving synthetic-data framework using PyTorch and augmented Lagrangian optimization, improving privacy from 31% to 51% while preserving 95% data utility.
- •Evaluated and benchmarked generative ML models including RealTabFormer and CTAB-GAN+ across 5 real-world datasets, reducing exact-match memorization by 62%+ while preserving downstream predictive utility.
- •Built a scalable, reproducible ML evaluation pipeline with Docker and FastAPI to automate model benchmarking and controlled experiments across privacy, utility, and downstream predictive performance.
PythonNumPyPandasRealTabFormerAugmented Lagrangian Method (ALM)MatplotlibJupyter Notebook
ANDPAD Inc.
Tokyo, Japan
Software Engineer II - i18n Team
Jul 2024 - May 2025- •Migrated Sidekiq / Redis workers to a fault-tolerant, serverless event-driven architecture using AWS Lambda, SQS, and S3, processing 10K+ jobs/day with horizontal autoscaling and DLQ retries while cutting infrastructure costs by 15%.
- •Delivered multilingual support using Ruby on Rails and Nuxt i18n for 1,500+ users, contributing to an 8% increase in revenue.
Ruby on RailsTypeScriptNuxt.jsNext.jsAWS LambdaAmazon SQSTailwind CSSDatadog
Software Engineer I - ANDPAD CHAT Team
Oct 2022 - Jun 2024- •Designed and implemented a GraphQL API architecture with Apollo Client to migrate core user flows from REST, reducing API over-fetching by 40%, improving page load speed by 25%, and reducing redundant network requests.
- •Reduced MTTR by 40% through blue-green deployments, CI/CD automation, and production incident response; expanded unit test coverage from 55% to 95% and implemented Datadog/Sentry monitoring and Slack alerts.
- •Built real-time messaging features using Vue/Nuxt, Firestore, and WebSockets, including reactions that increased user engagement by 50%, with Firebase Analytics for product telemetry.
- •Modernized and migrated the frontend from Vue 2/Nuxt 2/Vuex to Vue 3/Nuxt 3/Pinia, increasing TypeScript coverage by 35% and achieving end-to-end type safety by eliminating "any" types across application and unit test code.
- •Collaborated cross-functionally with QA, Product, and Customer Experience in Agile/Scrum, translating customer feedback into technical requirements while practicing TDD, peer code reviews, and automated i18n validation, reducing localization bugs by 30%.
Vue.jsNuxt.jsTypeScriptGraphQLApollo ClientPinia (migrated from Vuex)Sentry
NimbleWork (formerly Digite Infotech) Inc.
Bangalore, India
Full Stack Intern - Kanban Team
Feb 2022 - Apr 2022- •Delivered a React Kanban board for 500+ users, boosting productivity by 40% through new task views and drag-and-drop interactions.
- •Integrated Redux state management with REST APIs and client-side caching, reducing redundant network requests and improving frontend performance and responsiveness under concurrent, high-traffic usage.
- •Built a micro-frontend architecture enabling independent modular deployments, reducing cross-team integration time by 25%.
React.jsMicro-frontendsBootstrapGitAgile
Excel Energies
Bangalore, India
Web Development Intern
Aug 2020 - Sep 2020- •Developed and deployed React + Firestore website on Netlify with secure serverless API submissions and CI/CD automation.
- •Enhanced “Contact Us” workflow using Firebase Auth and validation rules, increasing lead conversion by 25%.
React.jsFirebaseFirestoreNetlifyMUI (Material UI)
Naaniz Seller Services Pvt. Ltd.
Bangalore, India
Front End Web Development Intern
Jun 2020 - Jul 2020- •Developed responsive React.js + Material UI websites for restaurant and jewelry clients, delivering modern UI/UX experiences aligned with business branding and customer engagement goals.
- •Integrated React frontend with Node.js REST APIs, enabling seamless client-server communication and reliable data exchange across application workflows.
- •Collaborated directly with clients in requirements meetings to translate business needs into scalable technical solutions, shaping feature design and improving long-term client satisfaction.
React.jsMUI (Material UI)ReduxNode.jsREST API
Education
Academic background
San Diego State University
Master of Science in Computer Science
May 2027 · San Diego, CA · GPA: 3.88
Dayananda Sagar College of Engineering
Bachelor of Engineering in Information Science & Engineering
June 2022 · Bangalore, India · GPA: 3.59
Projects
Things I've built
PRISM
May 2026TypeScriptVS Code APIOllama
- •Built and open-sourced PRISM, a local-first VS Code extension with 100+ installs that analyzes pull requests for secrets/API keys, missing test coverage, risky config changes, branch safety issues, and oversized PRs using git-diff analysis and static checks.
- •Implemented AI-assisted PR summaries, risk analysis, and smart pre-push checklists using Ollama, TypeScript, and the VS Code Extension API; published publicly on the VS Code Marketplace with active developer feedback.
MQSim
December 2025PythonFastAPIReactJSViteCanvasAsyncIO
- •Built an end-to-end IoT/MQTT network simulator with WiFi/BLE PHY models, CSMA/CA MAC, distance-vector routing, and MQTT pub/sub supporting QoS0/1, DUP detection, retries, keep-alive, mobility-based disconnect/reconnect, and broker failover, powered by an asynchronous FastAPI simulation engine.
- •Developed an interactive React + TypeScript (Vite) interface with Canvas-based packet animations, real-time metrics (latency, PDR, energy), topic heatmaps, and automated experiments (duty-cycle and BLE vs WiFi), and deployed the full system using Vercel + Render with secure CORS and environment-configurable REST APIs.
Lexi AI
April 2026PythonJupyter NotebookHugging FaceT5BARTLogistic Regression
- •Built an AI prototype for NDA analysis with summarization, risk detection, jargon explanation, and clause comparison using Hugging Face models including T5/BART and a trained Logistic Regression classifier.
reLink
November 2025NextJSFastAPIMySQLJWT+bcryptZXingOpenCV DeepFace
- •Engineered a digital identity system during the 2025 Big Data Hackathon, empowering unsheltered individuals to access housing, healthcare, and jobs through verified credentials, featuring ZXing-based QR verification and DeepFace-powered face detection.
myNexus
November 2025NextJSFastAPIMySQLJWT+bcrypt
- •Developed during the Innovate4SDSU Hackathon, myNexus connects SDSU students through Course Compass for professor and course insights, and Peer Connect for intelligent study-partner matching using tagged interests and secure, scalable full-stack integration with optimized API architecture.
Tweeter
January 2024Ruby on RailsMySQLActionMailerjQuery-Rails
- •Built a social media platform using Ruby on Rails with real-time interactions.
- •Implemented secure user authentication and data management.
Basic Blockchain
August 2021JavaScriptNode.jscrypto-jsElliptic
- •Implemented a basic blockchain in JavaScript with SHA-256 hashing, proof-of-work mining, signed transactions, wallet balances, mining rewards, and chain validation.
Havamana
August 2021React.jsOpenWeather APINetlify
- •Developed a React.js weather app using OpenWeather API and deployed it on Netlify for seamless hosting.
Vehicle Counting and Classification
August 2021PythonOpenCVNumPyComputer Vision
- •Developed a computer vision system to detect, track, count, and classify vehicles from video streams using OpenCV background subtraction, contour detection, object tracking, and direction-based counting.
Movie Recommender
August 2021PythonAPIsJSONRequests
- •Built a movie recommendation script that fetches related titles from TasteDive, enriches results with OMDb ratings, and ranks recommendations by Rotten Tomatoes score.
URL Shortener
August 2021PythonTkinterpyshortenerspyperclip
- •Built a desktop URL shortener with a Tkinter GUI, TinyURL generation, and one-click clipboard copy functionality.
Skills
Technologies I work with
Languages
JavaScriptTypeScriptHTMLCSSSCSSPythonSQLC++RubyRustJavaGoCDartShell Scripting
Frameworks & Tools
Vue.js/NuxtReact/NextGraphQLApollo ClientFastAPINode.jsExpress.jsRailsFlutterReduxPinia
Databases
MySQLPostgreSQLFirestoreMongoDBDynamoDB
Cloud & DevOps
AWS LambdaAmazon SQSAWS S3TerraformGitGitHub Actions / CI/CDREST APIsPostmanSwagger
Infrastructure
KubernetesDockerApache KafkagRPCMakeJenkinsCircleCISentryDatadogHelm
ML & Data
NumPyPandasPyTorchTensorFlowScikit-learnMatplotlibRealTabFormer
Achievements
Milestones & recognition
- ✓Head, Public Relations & Operations, Centre for Performing Arts, DSI (2019-2022): grew @cultdsi from 1K to 8K+; increased event footfall ~40%; built and managed official website.
- ✓Japanese Language Proficiency Test — N2 (Dec 2024).
Let's Connect
Get in touch with me