Building high-signal software for teams that value quality and depth.
I’m Tejas Ajay Parse, a full-stack engineer working across React, Next.js, Node.js, FastAPI, Kafka, search systems, and AI-assisted workflows. I like building products that feel intentional on the surface and stay dependable underneath. Outside work, I enjoy competing in coding contests on LeetCode.
Current Focus
Frontend systems, backend performance, testing, search, and AI workflows.
Recent work spans product tooling, Kafka ETL pipelines, Elasticsearch freshness, FastAPI services, and automation that helps teams ship with more confidence.
Experience.
Role 1
CurrentArizona State University
Software Engineer
Psych for Life
Timeline
Dec 2024 - Present
Location
Phoenix, AZ
ReactTypeScriptNode.jsMongoDBDocumentDBAWS S3CognitoView Details
Role 1
CurrentArizona State University
Software Engineer
Psych for Life
Timeline
Dec 2024 - Present
Location
Phoenix, AZ
Scope
Owning product-facing workflows and backend performance improvements for a customer-facing mental health platform.
- Overhauled a manual image update process with a React asset dashboard and a Node.js plus MongoDB AWS S3 resolution flow, reducing update time from 1 hour to 5 minutes.
- Engineered a reusable React and TypeScript content component library with a WYSIWYG editor, calendar, and priority modules that helped non-technical managers assemble structured content 2.4x faster.
- Refactored multi-query backend joins into MongoDB aggregation pipelines, reducing average API latency by 40 percent.
- Implemented role-based access control with AWS DocumentDB and Cognito for a system serving 1,000 plus customers.
Role 2
CurrentEnterprise Commerce
Software Engineer Intern
Master Electronics
Timeline
Sep 2025 - Present
Location
Phoenix, AZ
Next.jsNode.jsPythonPlaywrightDatabricksKafkaPySparkPostgreSQLElasticsearchFastAPIView Details
Role 2
CurrentEnterprise Commerce
Software Engineer Intern
Master Electronics
Timeline
Sep 2025 - Present
Location
Phoenix, AZ
Scope
Working across quality, data pipelines, search freshness, and AI-assisted operations inside a production Next.js environment.
- Developed 200 plus end-to-end and component tests with Playwright, Jest, and React Testing Library for a Next.js application.
- Built a Kafka-based ETL pipeline to process roughly 14.4 million daily ERP changes with streaming transformations into PostgreSQL.
- Designed a Python-based Databricks PySpark batch replication pipeline to rehydrate PostgreSQL from ERP during failures, processing more than 1 billion rows per run to ensure data integrity.
- Replaced a weekly Elasticsearch indexing flow with a two-hour refresh pipeline, improving search freshness by 84x.
- Contributed to PO-Miner, an LLM-powered purchase order extraction system on FastAPI using GPT-4o and Claude that reached 88 percent structured data accuracy.
Role 3
ML Platform
Software Engineer Intern
Walnutech PBC
Timeline
Jun 2025 - Aug 2025
Location
Phoenix, AZ
ReactNext.jsPythonFastAPISupabaseGitHub ActionsAWS CopilotSQLView Details
Role 3
ML Platform
Software Engineer Intern
Walnutech PBC
Timeline
Jun 2025 - Aug 2025
Location
Phoenix, AZ
Scope
Focused on cloud delivery and backend efficiency for a machine-learning product team.
- Automated CI/CD for a Python FastAPI backend with GitHub Actions and AWS Copilot, reducing manual release effort by 70 percent.
- Redesigned the database schema, cutting table count by 30 percent and reducing join-heavy query paths.
Role 4
Product Engineering
Software Engineer Intern
Datstek
Timeline
Jan 2024 - Jun 2024
Location
Remote
ReactReact NativeNode.jsFastAPIPostgreSQLView Details
Role 4
Product Engineering
Software Engineer Intern
Datstek
Timeline
Jan 2024 - Jun 2024
Location
Remote
Scope
Built internal tooling and mobile-first workflows that served both business operations and field teams.
- Saved 12,000 dollars annually by building an in-house legal document templating and signing system using Node.js, React, and PostgreSQL.
- Built a React Native electoral campaign app backed by FastAPI and PostgreSQL that supported more than 2,000 party members.
Role 5
Supply Chain Systems
Software Engineer Intern
Settyl Tech
Timeline
May 2023 - Sep 2023
Location
Remote
ReactNode.jsKafkaAzure Event HubsMicro-frontendsView Details
Role 5
Supply Chain Systems
Software Engineer Intern
Settyl Tech
Timeline
May 2023 - Sep 2023
Location
Remote
Scope
Worked on distributed event systems and micro-frontend ownership in a supply chain product.
- Migrated inter-database event streaming from Kafka to Azure Event Hubs across a Node.js system, reducing sync latency by 19 percent.
- Owned 2 of 12 React micro-frontend modules, coordinated releases, and mentored a junior intern.
Role 6
Consumer Web Tools
Software Engineer Intern
Appscms Technologies
Timeline
Jul 2022 - Nov 2022
Location
Remote
JavaScriptHTML CanvasWeb PerformanceProduct UIView Details
Role 6
Consumer Web Tools
Software Engineer Intern
Appscms Technologies
Timeline
Jul 2022 - Nov 2022
Location
Remote
Scope
Shipped high-volume browser tooling for a consumer audience at scale.
- Built 50 plus browser-side GIF processing tools with JavaScript and HTML Canvas for a platform serving more than 700,000 monthly sessions.
Projects.
A few selected projects covering visualization, machine learning, and LLM evaluation.
Data StorytellingLive SiteView ProjectIs College Worth It?
A scrollytelling experience that turns higher education outcomes into a progressive narrative instead of a static chart dump.
D3.jsJavaScriptHTMLCSS
- Served as software architect for the team project.
- Designed a tassel-based sunburst interaction for progressive data disclosure.
Edge + Cloud MLGitHubView ProjectScalable Edge-Cloud ML Pipeline
Simulated an IoT deployment where detection happens at the edge and recognition happens in the cloud through decoupled services.
PythonAWS IoT GreengrassAWS LambdaSQS
- Configured AWS IoT Greengrass Core and Client on EC2-simulated devices.
- Integrated Python MTCNN, SQS, and Lambda for split inference responsibilities.
LLM EvaluationReportView ProjectAuto-Evaluator for LLM Logical Reasoning
A reasoning benchmark workflow designed to diagnose how large language models fail, not just whether they fail.
PythonLLMsEvaluationTaxonomy Design
- Evaluated LLaMA and ChatGPT on logical reasoning tasks.
- Built an auto-evaluator agent that classified reasoning failures with 81.98 percent accuracy.
Mobile AppGitHubView ProjectMisere Tic Tac Toe App
A native Android Misere Tic Tac Toe app with AI, local multiplayer, and Bluetooth-based play.
KotlinAndroidBluetoothJSON
- Developed a Kotlin-based Android app with AI, local, and Bluetooth multiplayer modes.
- Implemented bidirectional Bluetooth socket sync with a JSON-based protocol for real-time state updates.
- Built an AI opponent using Minimax with alpha-beta pruning and three adaptive difficulty levels.
Realtime MultiplayerLive SiteView ProjectUNO Multiplayer
A real-time UNO multiplayer game built with a React frontend and Node.js backend.
ReactNode.jsSocket.IOTailwind CSS
- Developed a multiplayer UNO experience with chat room support and robust socket-based realtime updates.
- Designed a centralized game server with dynamic rooms and turn-based game logic.
- Built the realtime interface with Tailwind CSS and Framer Motion.
Video Search + MLGitHubView ProjectVideo Classification and Search
A PyTorch-based HMDB51 system for video classification and similarity search.
PythonPyTorchK-NNSVM
- Built a video classification and retrieval pipeline with feature extraction and dimensionality reduction.
- Used K-NN, SVM, and relevance feedback to improve classification and iterative search quality.
- Optimized similarity retrieval with LSH and clustering for faster, more accurate results.
Skills.
Core technologies and tools.
Frontend
Backend & APIs
Testing
AI & ML
Databases
Cloud & Infrastructure
Education.
Academic background and coursework.
MS in Computer Science
Arizona State University
Aug 2024 - May 2026
Coursework: Cloud Computing, Mobile Computing, Software Testing, Multimedia and Web Databases
B.Tech in Computer Science and Engineering
Indian Institute of Information Technology
Aug 2020 - May 2024
Coursework: Distributed Computing, Database Systems, Data Structures and Algorithms, Object-Oriented Programming
Leadership and recognition.
Selected leadership, research, and achievements.
Leadership
President, Projects Club (IOTA)
Organized bootcamps and hackathons that impacted 1,000 plus students during my B.Tech.
Research
IEEE Author, QAAD: Quality Aware Adaptive Denoising
Published research in 2024 proposing a novel metric for choosing the right image denoising algorithm.
Read paperAchievement
Winner, Smart India Hackathon 2023
Won among 200 plus teams and also placed at global rank 3425 in Google Hash Code 2022.
Recognition
New American University Merit Scholarship
Awarded 9,000 dollars for outstanding academic performance at Arizona State University.
Open to connecting about software problems, product engineering, and full-time opportunities. Feel free to reach out through any of the links above.