Hey, I'm

Akshay Dahiya

Protocol Engineer and DeFi Researcher

By day, I'm building decentralized awesomeness at Powerloom Protocol. By night, I'm geeking out in the crypto world, blending my love for blockchain, AI, and full-stack dev.

Akshay Dahiya
  • 7 + Years of Experience
  • 70 + Completed Projects

About Me

A Bit About Me πŸ‘¨πŸ»
Intro
Yo! Welcome to my corner of the web. I'm Akshay Dahiya, a total tech nerd who juggles blockchain tricks, machine learning hacks, and full-stack building. I've spent way too many late nights diving into decentralized worlds, playing with algorithms, and exploring stuff like the Semantic Web and AI.
During the day, I'm knee-deep in creating decentralized goodies as a Protocol Engineer and DeFi Researcher at Powerloom Protocol – it's this awesome spot buzzing with innovation. (Can't spill all the beans yet!) Recently, we've been busy with chain migrations, launching new hubs, and hitting up events like ETHGlobal Bangkok and ETH Denver. At night, I'm usually sailing through crypto markets, making trades, or tinkering with ideas for the next big DApp.
When I'm not glued to my screen coding or catching up on AI trends, I might be dreaming about the next tech conference or looking back at my Google Summer of Code days. I've worked on some fun projects, chipped in on open-source stuff, and chatted with smart folks from everywhere. Just moved to Bangalore to lead our new engineering hub – loving the vibe here!

If you're into code, blockchain, AI – or just wanna chat about where tech's heading (or anything, really!) – hit me up at xadahiya[at]gmail.com. I'm always down for a good tech talk!
My Interests & Past πŸ‘¨πŸ»β€πŸ’»
Summary
Blockchain Dev
I've been messing around in blockchain for a while, dropping over 70 smart contracts on different chains. Stuff like Play2Earn games, sniper bots, and node projects. Right now, I'm helping shape Powerloom Protocol to make Web3 data easier to grab. It's been a fun adventure with all sorts of contracts and wild ideas, including recent chain migrations and event workshops!
Other Tech Adventures
Kicked off my dev life as a Graduate Programmer at Fidelity International. Then got into AI and Machine Learning at Georgia Tech and contributed to Google Summer of Code with the Hydra crew. I've also mentored peeps at Udacity on Deep Learning, React, and Full Stack. Pretty much bounced around the tech scene!
AI Stuff
My AI journey started with classes at MIT OCW, Georgia Tech, and Udacity – covering AI, ML, algorithms, all that jazz! After my master's from Georgia Tech, I jumped into real-world gigs at Hypersonix Inc., honing skills with TensorFlow, PyTorch, and the like. Even did some sleuthing with AI for counter-plagiarism research at Georgia Tech. What a ride through AI land!
Research in Academia

Guided by Dr. Thad Starner, I dug into counter-plagiarism tech using AI. Our work got props in Forbes and Times Higher Ed, and we shared it at Learning @ Scale – showing how AI and school smarts can team up. Best part? Georgia Tech still uses some of that tech!

Open Source Fun

I'm big on open source! Been in Google Summer of Code as Admin and Mentor for Hydra Ecosystem. Plus, deep into Powerloom Protocol for Web3 data storage. Joined Hacktoberfest and tons of hackathons, always pushing tech limits. Contributing to the community is a blast!

Some of My Tech Adventures πŸš€
Skills
Blockchain πŸͺ™

Totally into decentralized vibes! I design protocols, build DApps, make Play2Earn games, and tinker with trading, sniper, and minting bots. Tools in my kit: Solidity, Chainlink Oracles, React, Web3js, Web3py, Ethers.js, Ganache, Hardhat, Truffle, and NFTs of course!

Web Development 🌍

Love crafting for the web, from Semantic stuff to gRPC. I use React, Django, D3.js, Redux, JSON-LD, Web Sockets, and handle Linux servers. Also JavaScript, React Native, Flask, Svelte, and keeping things SEO-friendly. If it's web, I'm probably playing with it!

Artificial Intelligence 🧠

My head's always in AI clouds! Tools like TensorFlow, Keras, PyTorch, Fast.ai, Numpy, Pandas, Scikit-learn. Concepts: Bayes Nets, Gaussian mixtures, Knowledge-based AI, Actor-Critic, Computer Vision, Deep Learning, Reinforcement Learning – making machines smarter!

Programming Languages πŸ–₯️

I chat in a bunch of programming tongues: Python, Solidity, JavaScript, C++, Go, Rust, and a dash of Haskell. Always picking up new ways to boss computers around!

Databases πŸ—„οΈ

For stashing data, I'm cool with PostgreSQL, MySQL, Redis, MongoDB. Keeping your info safe and ready!

Other 🌟

Beyond code, I'm into Operating Systems, Pthreads, Algorithms, Data Structures, UI Design, Storytelling, Product Management, Tableau, Gephi, Apache Spark, Hadoop, Web Scraping, Public Speaking, User Research, GIMP, Inkscape, Vagrant, Functional Programming, Unit Testing, Docker, Linux, Heroku, Android mods, and a bit of hacking 😜

My Story πŸ—ΊοΈ
History
Education
Master of Science - MS, Computer Science
Georgia Institute of Technology
2019 - 2021

Part of Jack Watson Research team under Dr. Thad Starner.

Machine Learning focus; Courses:

  • CSE 6242 - Data & Visual Analytics
  • CS 7637 - Knowledge-Based Artificial Intelligence
  • CS 6200 - Graduate Intro to Operating Systems
  • CS 7641 - Machine Learning
  • CS 6601 - Artificial Intelligence
  • CS 8903 - Special Research Problem
  • CS 6476 - Computer Vision
  • CS 8803 - AI, Ethics, and Society
  • CS 7642 - Reinforcement Learning
  • CS 6515 - Graduate Algorithms
  • CS 6999 - Master's Project
  • PUBP 6725 - Information Security Policies
Full Stack Web Developer Nanodegree
Udacity
2016
  • Learned to use relational databases for data storage
  • Secured and set up Linux servers for apps
  • Tackled scaling apps for thousands of users
  • Got hands-on with cloud hosting
Computer Vision Nanodegree
Udacity
2020
  • Finished Computer Vision Nanodegree from NVIDIA and Affectiva via Udacity
  • Got good at theory and building Deep Learning models like YOLO, RCNN, SLAM
  • Did projects on Facial Key Points, Image Captioning, SLAM
  • Applied it all to real stuff in computer vision
Deep Learning Nanodegree
Udacity
2020
  • Built and trained neural nets
  • Got into CNN, RNN, NLP, GANs, model deployment
  • Applied to real scenarios
  • Finished the whole thing
React Nanodegree
Udacity
2017
  • Did three projects
  • Built My Reads book app with Books API
  • Made Would You Rather polling app with leaderboard
  • Created Mobile Flashcards for studying
B.Tech, Electronics and Communication Engg
Deenbandhu Chhotu Ram University of Science & Technology
2014-2018
  • Graduated with basics in electronics, comm systems, engineering
  • Built a solid base for tech career
Experience
Protocol Engineer and DeFi Researcher
Powerloom Protocol
Dec, 2022 - Present

Still building Powerloom, a decentralized data network for Web3 apps. Led the chain migration to Arbitrum Nitro stack in March 2025 due to OP Stack changes. Launched new engineering hub in Bengaluru (leading it!), hiring devs. Hosted workshops at ETHGlobal Bangkok 2024 and attended ETH Denver 2024. Rolled out incentivized testnets, hosted DeFi Data Days, joined ETH India 2023. Exciting times with on-chain data for DeFi!

Blockchain Developer
Freelancer
Dec, 2020 - Nov, 2022
  • Dropped 50+ smart contracts on EVM chains
  • Designed ERC tokens like ERC20, ERC721, hyper-deflationary ones
  • Built node projects with dynamic rewards, evolving NFTs, referrals, OpenSea trading
  • Created trading/sniper bots with Web3.py, Solidity for NFTs/tokens
  • Made Play2Earn games with custom Chainlink Oracles on BSC/Polygon, plus cross-chain bridges
Senior Software Engineer
Hypersonix Inc.
Mar, 2020 - Dec, 2022
  • Built API Gateway and Management Platform from scratch, speeding up dev
  • Boosted API performance 80% with optimizations and Brotli compression
  • Overhauled auth with Auth0 for better security
  • Added ELK logging, performance monitoring, Learning Center
Master's Project
Georgia Institute of Technology
Jan, 2020 - May, 2021

On Jack Watson Research team with Dr. Thad Starner.

  • Created Examinator to spot plagiarism in exams using Gradescope metrics
  • Contributed to two ACM Learning at Scale papers: one on plagiarism detection (15% to 25% better referrals), another on JackMarker/GitDown for tracing/removing unauthorized solutions
  • Featured in Forbes, Times Higher Ed, etc.
Graduate Programmer
Fidelity International
Jun, 2018 - Nov, 2018
  • Built real-time feedback app with web sockets, Django, Redis, D3.js
  • Worked with behavioral finance team on React tools for portfolio managers
  • Full-stack dev for scalable solutions
Mentor and Project Reviewer
Udacity
Feb 2017 - Mar, 2020
  • Reviewed projects, guided students in Full Stack/Deep Learning
  • Helped with questions, code, debugging
  • Supported student success
Administrator and Mentor
Google Summer Of Code
Feb, 2018 - Aug, 2021
  • Contributed to Hydra, a Linked Data docs framework for Web APIs
  • Built Python tools for the community
  • Joined GSoC 2018-2021, helped grow Hydra
My GitHub Activity πŸ“Š
GitHub
Latest Posts πŸ“°
Blog
27 Feb 2024
Personal Tech Expedition [Part 1]

So, here I am, on a super long flight from Frankfurt to Denver, heading to...

25 Aug 2017
GSoC 2017 summary

Hey everyone! Akshay here, and I was a Google Summer of Code student chilling with...

22 Aug 2017
Finishing up!

Alright, folks! We’ve hit the GSoC final evaluations, and it’s time to wrap things...

Interesting Books (No Order) πŸ“š
Books
Zero to One

Peter Thiel on thinking fresh and building from zero.

Mathematics for CS

Eric Lehman and crew making math fun.

Algorithms Illuminated Series

Tim Roughgarden breaking down algorithms.

Reinforcement Learning

Richard Sutton unpacking AI's reward system.

The Lean Startup

Eric Ries' guide to building cool products.

Hooked

Nir Eyal on creating habit-forming stuff.

Let's Chat Ideas πŸ’¬
Reach Out!