Dev Patel
Software engineer — backend services, data pipelines and the products on top of them. Based in Pittsburgh, PA.
Texas A&M University
Aug 2021 — May 2025B.S. Computer Science · Dean's Honor Award · College Station, TX
- Coursework: Analysis of Algorithms, Data Structures, Machine Learning, Artificial Intelligence, Database Systems, Operating Systems, Computer Architecture.
Technical Solutions Engineer
Feb 2026 — PresentYinzCam, Inc. · Pittsburgh, PA
- Built a Node.js Slack-to-Jira service that turns structured Slack requests into tickets and subtasks, maps Slack users to Jira reporters, carries attachments across, syncs status back through webhooks, and recovers failed requests with retry and fail-safe logic.
- Engineered and launched the platforms for Burnley FC, Edgbaston, IMG Dubai and PJL — implementing the site experiences, configuring data-feed integrations, establishing frontend routing and content mappings, and taking each one through production readiness.
- Traced and resolved production failures across eight professional-sports websites, following each one through data feeds, routing rules, rendering behaviour and third-party integrations, and coordinating the release back out across engineering and client-facing teams.
- Built a Confluence/JQL delivery tracker and ran engineering status reviews on it with the VP and CTO, coordinating dependencies across product managers, developers, designers and account managers.
Software Engineering Intern
May 2024 — Dec 2024Ansys · Austin, TX
- Implemented .NET and C# Web APIs for system migrations, using gRPC and COM interfaces to move data between microservices.
- Closed 12+ bugs spanning C#, C++, Python, JavaScript and Angular, using dynamic tracing and memory profiling to locate faults across architecture layers.
- Built REST/MVC request paths for asynchronous work, batch-script automation for file deployment, and IronPython scripting hooks for simulations.
Student Data Researcher
Nov 2023 — Feb 2024Texas A&M University · College Station, TX
- Architected and deployed Python workflows that automated cleansing and integration across 5+ multi-source datasets.
- Lifted validation accuracy 25% over the first working baseline through feature engineering and hyperparameter tuning, on models built over Pandas, SciPy and SQL.
- Refined reporting with complex SQL — CTEs and views — surfacing results through Power BI and Tableau for decision-makers.
Software Engineering Intern
May 2023 — Jul 20234C Consulting — Technology Division · On-site
- Employed RESTful APIs for server-side data handling and storage in Python and PostgreSQL, focused on system efficiency.
- Designed responsive web interfaces with HTML, CSS and JavaScript; improved deployment using Jenkins, Agile, Git, Jira, Postman and GraphQL.
Full-Stack Developer
Aug 2022 — Dec 2022Texas A&M University · College Station, TX
- Modeled a full-stack web application using Express.js and Node for server-side processing, integrating React and Xamarin for client-side rendering.
- Advanced SQL database management through query structuring, indexing and Redis caching to reduce API latency.
- Hosted the application securely on AWS and lifted backend performance by 20%, integrating client requirements through Jira and Git.
Machine Learning Research Assistant
May 2022 — Aug 2022Texas A&M University — CSE · College Station, TX
- Piloted 5+ predictive machine learning models using decision trees and random forests for advanced malware threat analysis.
- Implemented a React analytics dashboard visualising 30,000+ malware datapoints, with features extracted through Python libraries and Ghidra reverse engineering.
Software Engineering Intern
May 2022 — Jul 2022Sigma InfoSolutions · On-site
- Improved an e-commerce transaction feature across React and Spring Boot, enhancing the interface and the backend APIs behind it.
- Elevated PostgreSQL and MongoDB access through Hibernate, optimising data transactions and improving query performance by 30% for financial analytics.
- Extended AWS infrastructure across S3, EC2 and RDS for new features and monitoring; maintained CI/CD through Jenkins and Kubernetes.
InjectionWatch
Oct 2026Python, Common Crawl, WARC, SQLite, FastAPI, Playwright
- Scanned 426,318 HTML pages from 20 random WARC files of CC-MAIN-2026-39 and hand-labelled all 16 injection-like findings: 7 were true injections, on 5 sites.
- Detector precision 0.44 (95% Wilson 0.23–0.67) on that fresh sample, up from 0.027 when the original v0.1 rules first met the real web.
- True injections at 1.64 per 100,000 pages (0.80–3.39), none of them exfiltration or credential phishing; AI opt-out tokens, counted as a separate signal, at 61 per 100,000.
- On 46 held-out pages frozen before any tuning: precision 0.33 and recall 0.08 for v0.1, against 1.00 and 0.83 static and 1.00 and 1.00 rendered for v0.3.
- The feed's first build holds only the 7 reviewed true positives, with JSON, CSV and STIX exports; it is built and not yet deployed.
Hands
Oct 2026Python, MicroPython, Raspberry Pi Pico W, MCP, pytest, mypy
- The whole loop — design, rule check, guided build, photo check, power-on, firmware, instrumented test and debug — runs end to end on a simulated bench, with 178 tests passing at 89% branch coverage.
- All 7 injectable wiring mistakes are caught and fixed in tests, including the two a camera cannot see, which the instruments catch after power-on.
- A hardening pass found more than 20 bypasses of the safety gates; every one is fixed and has a regression test.
- The real-hardware path — port discovery, flashing, an on-board current monitor, the logic analyzer — is built and tested against fakes, and has not yet run on a physical board.
Speculate
Oct 2026TypeScript, Node.js, MCP, Vitest, tsup, Docker
- Replayed 8,754 public coding-agent trajectories (330,942 tool calls): 5.0% top-1 and 6.4% top-3 exact hits on held-out trajectories, an estimated 0.1–0.2% of wall time saved, and a perfect-predictor ceiling of 0.8–1.8%.
- Traced the bound to Amdahl's law: a 5.3 s median think time against a 0.45 s median tool call, with only about 41% of calls safe to pre-run.
- Caught a metric that lied: a no-op think tool raised top-1 from 5.0% to 8.2% while saving no time, so it is excluded from the headline.
- Lossless under test: byte-identical transcripts with and without speculation on 200 of 200 simulated tasks per variant, and 2,000 hostile predictions that never ran a non-read-only tool.
- 136 Vitest tests at 96% line coverage, a dual ESM/CJS build, and an MCP proxy that serves repeat 400 ms reads in about 3 ms over real stdio.
ProphetAI
Feb 2025Flutter, Dart, SQLite, REST, Firebase Hosting, GitHub Actions
- Runs on five vendors' free tiers with no paid plan anywhere in the stack.
- Repeat questions return from the local cache instead of the network, and are labelled as cached in the UI.
- Flutter web client shipped through GitHub Actions to Firebase Hosting, with preview deploys on every pull request.
Rune Duel
Jul 2026 – PresentJavaScript, React, Three.js, React Three Fiber, Node.js, Socket.io
- Playable in a browser today: practice against three AI tiers offline, or duel someone through quick match or a six-letter room code.
- Online 1v1 verified end to end over the internet, with the server scoring strokes rather than trusting the client's claim.
- Ranked accounts, Elo and a leaderboard on Supabase, with guests kept playable and unranked on device.
- Packaged for iOS with Capacitor from the same build and submitted to the App Store.
Once
Sep 2026TypeScript, React, Vite, Chrome MV3, IndexedDB, Web Crypto
- Working beta: record, edit, reorder, redact and export a guide as HTML, Markdown, JSON or print-to-PDF.
- Screenshots are masked before they are written, and a step the recorder cannot verify is downgraded to text instead of kept as an image.
- Encrypted share links with seven-day expiry, per-network daily limits and bearer-token revocation, verified end to end against local D1 and R2 emulation.
- 20 automated tests plus typecheck, lint and a production build run on every push through GitHub Actions.
Epiphany & ShakeRage
Jan 2026SwiftUI, SwiftData, WidgetKit, SceneKit, CoreMotion, StoreKit 2
- Two native apps shipped from an empty Xcode project inside one development cycle.
- Widget capture works without ever foregrounding the app, via App Groups and SwiftData.
- Median leaderboard read under 100 ms, from indexed queries plus client-side caching, synced over realtime subscriptions rather than polling.
- Full StoreKit 2 paywall with restoration and entitlement verification.
Quant A&M
Jan – Apr 2024Ruby on Rails, PostgreSQL, Docker, RSpec, GitHub Actions, Heroku
- Reached 300+ users inside the club.
- Full RSpec suite gating every deployment.
- Containerised so onboarding a new maintainer is a clone and a compose command.
Customer POS System
Aug – Dec 2023React, Redux, Node.js, Express, PostgreSQL, Google Maps API
- Order state stayed consistent across every panel of the interface.
- REST layer fully exercised through Postman before wiring the client.
- Dockerised for reproducible local runs.
Algorithmic Trading Model
May – Aug 2023Python, TensorFlow, Keras, LSTM, Pandas, NumPy
- Working sequence model over real historical data.
- Backtesting harness that scores on unseen history rather than training data.
- Two independent signals combined rather than one over-trusted.
Overse Browser
Apr – Nov 2023Python, PyQt5, SQLite, OpenSSL, AES
- Working multi-tab browser with persistent history and bookmarks.
- Encrypted profile storage rather than plaintext on disk.
- A concrete understanding of where browser state actually lives.
Languages
Python, Java, C#, C++, JavaScript, TypeScript, Swift, Dart, Ruby, SQL
Backend & APIs
Node.js, Express, .NET, Ruby on Rails, REST, Webhooks, MCP
Data
PostgreSQL, SQLite, Redis, Supabase, Firebase, Pandas, NumPy
Cloud & DevOps
Docker, AWS, GitHub Actions, CI/CD
Frameworks & ML
React, Flutter, SwiftUI, TensorFlow, scikit-learn