I have spent a lot of time on the Internet.
And over time, I have reached a point where I now know how to use it for my own benefit, rather than making it detrimental for me — which turns out to be rare.
Although I don’t share many details about myself and my life, I feel that having a page like this is a good starting place to break the ice between the reader and me. Probably a starting point for setting up the context between you and me.
This post covers my domains of interest, my previous works, my education, the certifications I have collected, and how to reach me.
So read ahead to know me almost better.
TL;DR
Aditya Anil is the author of Reeblev. He is a Software Developer and AI/ML Engineer, a Top 0.5% GitHub open-source contributor (since 2024), and a Web3/AI builder currently pursuing a B.Tech in Computer Science (Artificial Intelligence). He writes for publishers like Towards AI, Decoder, DataDrivenInvestor, and AI in Plain English, and works across Python, C/C++, Lua, MATLAB, and JavaScript.
Interests
"If people knew how hard I had to work to gain my mastery, it would not seem so wonderful at all."
I like to read a lot and write a lot. But greater satisfaction comes when I build something that benefits myself and others in a similar way.
As far as my interests go, I am deeply involved in projects in the domains of Software Engineering, Mathematics, and Quantum Computing. I am also interested in finance, literature, and cognitive science — the product of exploring too many things and a lot of free, alone time in childhood.
At age 12, I taught myself to build games in Unity3D. Even though I didn’t know the basic programming — nor the mathematics needed to make the game — it was nonetheless the starting point of me building things. This sparked my self-exploration, and I soon learned digital art (Creative Cloud tools), 3D modelling (Blender, ZBrush), video/image editing, and shaders/procedural graphics.
By the age of 16, I began my journey as a technical content writer, starting as an associate content writer at Chegg. This experience taught me something essential: the conviction that complex ideas should not remain imprisoned in sluggish academic language. They must be made clear, ordered, and alive. My writing on this platform and on other blogs is one such pursuit. I’ve written for publishers like Towards AI, Decoder, DataDrivenInvestor, and AI in Plain English.
Eventually, I realised that commentary without construction is incomplete, so I turned back to building.
In 2024, through daily discipline, I reached a milestone of becoming a Top 0.5% contributor on GitHub.1 My work spans building and maintaining software tools in open source — across Python, C/C++, Lua, MATLAB, and JavaScript.
Later on, my interests extended to Artificial Intelligence, Quantum Computing, and Cognitive Science. Some of that building lives in the Projects section; a taste of the mathematical sensibility behind it shows up in notes like The Rasch Model and The changing work of software engineers.
Work
This is a record of my professional efforts — a mix of technical endeavours and the pursuit of clarity through writing.
Resume
To view my resume, click here.
Jul 2026 – Present
PSPM Technologies Pvt Ltd
AI Drug Discovery Research & Development Intern · Remote
Working at the intersection of Computer-Aided Drug Design (CADD) and Bio-AI Systems Engineering — designing, automating, and deploying end-to-end digital drug-discovery engines that bring medical-research rigor together with AI software execution.
- In-Silico Bio-Pipelines: multi-stage pipelines integrating AlphaFold2/ColabFold (3D structure prediction), DiffDock (generative docking), GNINA (pose scoring), and ADMET-AI (pharmacokinetics & toxicity).
- Molecular Dynamics: preparing structures with RDKit and PDBFixer; GPU-accelerated MD with OpenMM and AMBER topologies.
- Agentic AI & MCP: natural-language execution interfaces over local LLMs (Ollama / Llama 3.1) and the Model Context Protocol to orchestrate bio-computational tools.
- Full-Stack Bio-AI: FastAPI backends, real-time WebSocket monitoring, and Next.js / React visualisers.
Aug 2026 – Present
ACM (Association for Computing Machinery)
Member — SIGAI · Remote
Member of ACM's Special Interest Group on Artificial Intelligence, engaging with global research across machine learning, deep neural networks, and computational theory via the ACM Digital Library (AAAI, IJCAI) and community working groups on AI standards, open-source infrastructure, model evaluation, and responsible AI governance.
Jul 2026 – Present
PlatinaData.AI
Software Engineer & AI Model Evaluator · Remote
Developing and scaffolding complex SWE task repositories to evaluate autonomous coding agents in real terminal environments; building end-to-end evaluation environments, test suites, and workflows to benchmark LLM performance across multi-file codebases. Auditing agent trajectories, shell executions, and code edits for data quality; engineering reproducible containerised setups and validating pull-request solutions.
Jul 2023 – Present
GitHub
Open Source Contributor
Actively contributing to and maintaining open-source projects across Python, C/C++, MATLAB, Lua, and JavaScript. Involvement extends beyond code: submitting and triaging issues, performing code reviews, writing technical documentation, and publishing write-ups. Reached the Top 0.5% of contributors globally in 2024.
Jan 2023 – Present
Medium
Technical Writer
Writing essays on AI, technology, and science for a general technical audience.
Dec 2022 – Present
Substack
Technical Writer — Creative Block
My personal newsletter on the latest shifts in AI, technology, and science. Subscribe to receive updates about Reeblev and similar posts.
Jan 2026 – Feb 2026
EtherAuthority
Web3 / Blockchain Developer Intern
- Designed and deployed gas-optimized Solidity smart contracts for a token-vesting system.
- Architected the end-to-end dApp structure and integrated Web3 with the frontend.
- Built an AI Value Predictor module to simulate market volatility and forecast portfolio performance.
- Implemented role-based access control (RBAC) and reentrancy protection; verified contracts on Etherscan.
- Deployed an NFT game on Telegram.
Dec 2025 – Jan 2026
EtherAuthority
Web3 & AI Developer Trainee
- Built a full-stack Token Vesting DApp (Solidity + React interfaces + AI financial models).
- Used Hardhat 3 and CI/CD with GitHub Actions; performed on-chain security auditing.
Sep 2023 – Jan 2024
AiProff
Senior Technical Writer
Spreading awareness about AI trends and conveying organisational expertise in NLP, Computer Vision, and Time Series Analysis to the wider public.
Apr 2023 – Sep 2023
Ekank Technologies
Creative Writer
Bridging the gap between users and Indian culture through non-fiction storytelling on the "This Day" platform.
Apr 2023 – Jun 2023
Young Protons
Web Developer & UI Designer
Deployed scalable user-facing features using the MERN Stack (React, Node.js) and TypeScript; designed in Figma; used HTML5/CSS3/JS, MongoDB/SQL, and GitHub Actions CI/CD.
Feb 2022
DQ Labs Private Limited
Graphic Design Student & Hackathon Finalist
Learned graphic design and visual communication by building technical posters and digital prototypes.
Jun 2021 – Aug 2021
Chegg India
Associate Content Writer
Developed SEO-optimised academic content for college students nationwide.
Education
- Amrita Vishwa Vidyapeetham — B.Tech, Computer Science and Engineering (Artificial Intelligence), Sep 2024 – Sep 2028.
- Army Public School, Bangalore — Higher Secondary (Class 11 & 12), Science, Jun 2021 – Mar 2023.
- Coursera — Self-directed learning in Science and Technology, from Jan 2023.
- Army Public School (APS) — High School.
Skills & Languages
My LinkedIn “Top Skills” are Leadership, Solidity, and Web3. Beyond those, I work day-to-day in Python, C/C++, Lua, MATLAB, and JavaScript, with excursions into React, TypeScript, and Hardhat.
I work in three languages:
| Language | Proficiency |
|---|---|
| English | Full Professional |
| Hindi | Professional Working |
| Malayalam | Limited Working |
Certifications
A scattered but telling map of where my curiosity has been pointed — from quantum computing to AI safety to autonomous driving.
| # | Certification | Issuer | Date | Link |
|---|---|---|---|---|
| 1 | Universal Assessment | PlatinaIQ | Jul 2026 | credential |
| 2 | Content Moderation (Domain) | PlatinaIQ | Jul 2026 | credential |
| 3 | Autonomous Driving (Domain) | PlatinaIQ | Jul 2026 | credential |
| 4 | LLM Evaluation (Domain) | PlatinaIQ | Jul 2026 | credential |
| 5 | AI Safety (Domain) | PlatinaIQ | Jul 2026 | credential |
| 6 | Quantum Horizon Quantum Computing Bootcamp | Amrita Vishwa Vidyapeetham, Amaravati | Mar 2026 | — |
| 7 | AI, Web3 & Blockchain Training | EtherAuthority | Jan 2026 | — |
| 8 | IEEE Certificate of Presentation — ICCCNT 2025 | IIT Indore (IEEE EPS, AICTE) | Jul 2025 | — |
| 9 | Quantum Computing | IIT Roorkee (C-DAC Hyderabad) | May 2025 | — |
| 10 | Basic Life Support (BLS) | Command Hospital Air Force, Bangalore | Jul 2023 | — |
| 11 | Getting Started with Git and GitHub | Coursera | Mar 2023 | credential |
| 12 | Git and GitHub Essentials Badge | Coursera | Mar 2023 | credential |
| 13 | Intro to Machine Learning | Kaggle | Mar 2023 | credential |
| 14 | Introduction to Cloud Computing | Coursera | Feb 2023 | credential |
| 15 | Design Hackathon Finalist | DQ Labs Private Limited | Nov 2021 | — |
The standout entry is the ICCCNT 2025 presentation at IIT Indore, where I presented “EfficientNet-B0 Multi-Scale Feature Fusion with Enhanced Skip Connections for Polyp Segmentation” — a small but concrete piece of deep-learning research.2
Honors & Awards
- Finalist, DQ Labs Design Hackathon.
- Gold Medal, Cyber Eduheal Olympiad.
Contact
The easiest ways to reach me or follow my work:
- Email: aditya.anil.productions@gmail.com
- LinkedIn: its-aditya-an1l
- Blog: Creative Block (Substack)
- GitHub / Portfolio: aditya-an1l
- Location: India
Personal Publication
- Creative Block (Substack & Medium): My personal newsletter where I write about the latest shifts in AI, technology, and science.
Online Magazines and Blogs
- Technical Columnist: Frequent contributor to Towards AI, Decoder, DataDrivenInvestor, and AI in Plain English, focusing on making emerging tech accessible to everyone.
Footnotes
-
GitHub’s contributor rankings place the top 0.5% by total contributions; I crossed that threshold in 2024 and have kept contributing since (profile). ↩
-
Polyp segmentation is a medical-imaging task: models localise and outline colorectal polyps in endoscopy frames to assist colonoscopy. The paper combined EfficientNet-B0 with multi-scale feature fusion and stronger skip connections. ↩