Building high-performance systems at the intersection of Deep Learning, Scalable Web Architecture, and Product Design.
I architect intelligent web applications that bridge the gap between complex data and intuitive user experiences. My work ranges from restoring ancient history through Multi-modal Vision-Language (VL) OCR to building real-time FinTech pipelines. I specialize in end-to-end systems that combine deep learning research with scalable cloud architecture.
- 🔭 Current Focus: Multi-modal VL OCR for ancient text restoration, Scalable Data Pipelines & Optimizing Chess Engine intuition models.
- 🌱 Learning: Advanced ONNX optimization, AWS Lambda for inference scaling, and fine-tuning Vision-Language Models (VLMs).
- 💬 Ask me about: Next.js, PyTorch, Chess theory, or litigation funding systems.
| Category | Tools & Technologies |
|---|---|
| UI & Styling | Tailwind CSS, HeroUI, Shadcn UI, Lucide React, Framer Motion |
| Frontend | Next.js, React, TypeScript, PHP |
| Backend | Node.js, Flask (Python), NGINX, Laravel |
| Databases | PostgreSQL, MongoDB, Supabase |
| AI / Data | PyTorch, ONNX, Deep Learning (NLP/CV), Matlab, Data Ingestion Pipelines |
| Systems & Hardware | C, C++, VHDL, Arduino, Raspberry Pi |
| DevOps | AWS (S3/EC2), Vercel, Docker Compose, GitHub Actions |
- Ancient Text Restoration (UATRIAL): Developed models using Deep Learning to restore and attribute ancient epigraphy, merging history with state-of-the-art NLP.
- Neural Chess Engines: Training models on FEN/PGN datasets to predict moves, served via Flask APIs to custom Next.js frontends. Experimenting with Stockfish fine-tuning and custom evaluation functions.
- AI File Converter: Built an end-to-end application that converts various file formats into standardized PDFs, enabling seamless RAG-based inference for AI models.
- AxiaFunder: Architected real-time investment dashboards and robust CSV ingestion pipelines for litigation funding using Node.js and PostgreSQL.
- Hack Cambridge: Maintained critical administration platforms for one of the UK’s premier hackathons.
- End-to-End Pipelines: Specialized in "Browser → Cloud Storage → Background Worker → Database" workflows for high-frequency data processing.
"Build systems that are interactive, intelligent, and scalable. Prioritize clean architecture over quick hacks, and use AI to simplify — not complicate — the user experience."
I’m always open to collaborating on intelligent systems, web platforms, or anything chess-related.
- 🌍 Portfolio: Visit my site
- 💼 LinkedIn: linkedin.com/in/pragash-mohanarajah
- 🔥 Current Streak: 2 days
- 🏆 Longest Streak: 26 days
- ✨ Total Commits: 7,479
- 💖 Commit Breakdown: 561 public (7.5%), 6,918 private (92.5%) · 4,408 owned (58.9%), 3,071 contributed (41.1%)
- 🚀 Repositories: 87 (36 public (41.4%), 51 private (58.6%))
- 👤 Ownership: 82 owned (94.3%), 5 contributed-to (5.7%)
- ⭐ Stars: 101,208 · 👀 Watchers: 708 · 🍴 Forks: 12,159 · 🗄️ Archived: 19
- 🧠 Estimated Lines of Code: 2,461,295
- 🤝 Followers: 1 · Following: 11
- 📅 Account age: 1,925 days
TypeScript ███████ 29.58% (728,116 LOC)
C ███████ 27.38% (673,946 LOC)
Jupyter Notebook ██ 8.78% (216,134 LOC)
MDX ██ 7.90% (194,531 LOC)
Python ██ 6.83% (168,128 LOC)
HTML █ 4.65% (114,454 LOC)
JavaScript █ 4.63% (114,022 LOC)
Makefile █ 2.53% (62,184 LOC)
JavaScript ████ 16.95% (40 repos)
Python ███ 13.56% (32 repos)
CSS ███ 12.71% (30 repos)
TypeScript ███ 10.59% (25 repos)
HTML ██ 9.32% (22 repos)
Shell ██ 7.20% (17 repos)
Jupyter Notebook █ 4.66% (11 repos)
Dockerfile █ 3.81% (9 repos)
TypeScript ███████ 29.58% (36,405,725 bytes)
C ███████ 27.38% (33,697,286 bytes)
Jupyter Notebook ██ 8.78% (10,806,681 bytes)
MDX ██ 7.90% (9,726,570 bytes)
Python ██ 6.83% (8,406,288 bytes)
HTML █ 4.65% (5,722,638 bytes)
Other ████████████████ 64.37% (56 repos)
AI / ML █████ 18.39% (16 repos)
Web Apps ███ 11.49% (10 repos)
Data Systems █ 5.75% (5 repos)
AI / ML ███████████████████ 74.66% (1,837,683 LOC)
Other █████ 19.05% (468,794 LOC)
Web Apps █ 4.90% (120,592 LOC)
Data Systems 1.39% (34,226 LOC)
JavaScript ███████████ 45.98% (40 repos)
Python █████████ 36.78% (32 repos)
CSS █████████ 34.48% (30 repos)
TypeScript ███████ 28.74% (25 repos)
HTML ██████ 25.29% (22 repos)
Shell █████ 19.54% (17 repos)
Jupyter Notebook ███ 12.64% (11 repos)
Dockerfile ███ 10.34% (9 repos)
PLpgSQL ██ 6.90% (6 repos)
Makefile █ 5.75% (5 repos)
- Pragash-Mohanarajah/dashboard-axiafunder — AxiaFunder Internal Dashboard Application built with Next.js and Vercel (Fork... (Web Apps · 1956 commits · private)
- Pragash-Mohanarajah/exambank-ai-frontend — Exambank AI - Frontend Code Repository (forked from AlphaFactory/exambank-fro... (AI / ML · 474 commits · private)
- Pragash-Mohanarajah/portfolio — Pragash Mohanarajah: Personal Portfolio (AI / ML · 255 commits · private)
- Pragash-Mohanarajah/ai-hdr-file-converter — Desktop File Converter Application: Local Conversion of Supported Files to PD... (AI / ML · 212 commits · private)
- IB-Integrated-Design-Project-Group-M202/competition-in-arena — Configures and Operates all of the Components on the Arduino Uno Wi-Fi Rev 2 ... (Other · 169 commits)
- AxiaFunder/dashboard-axiafunder (Other · 1963 commits · private)
- AxiaFunder/axiafunder — Monorepo for Axiafunder Applications (Other · 12 commits · private)
- supabase/supabase — The Postgres development platform. Supabase gives you a dedicated Postgres da... (AI / ML)
Night (00-06) 0.78% (21 commits)
Morning (06-12) ██████████████ 54.20% (1,465 commits)
Afternoon (12-18) ████████ 31.11% (841 commits)
Evening (18-24) ███ 13.91% (376 commits)
Sunday ██ 7.52% (583 contributions)
Monday ████ 15.11% (1,171 contributions)
Tuesday █████ 19.20% (1,488 contributions)
Wednesday █████ 19.72% (1,528 contributions)
Thursday ████ 15.95% (1,236 contributions)
Friday ████ 16.54% (1,282 contributions)
Saturday █ 5.96% (462 contributions)
AxiaFunder/dashboard-axiafunder ███████ 26.25% (1,963 commits)
Pragash-Mohanarajah/dashboard-axiafunder ███████ 26.15% (1,956 commits)
Pragash-Mohanarajah/exambank-ai-frontend ██ 6.34% (474 commits)
Pragash-Mohanarajah/portfolio █ 3.41% (255 commits)
n15hsy/axia-lm-optimizer █ 2.86% (214 commits)
Pragash-Mohanarajah/ai-hdr-file-converter █ 2.83% (212 commits)
cued-ia-computing/flood-kg487-pm719 █ 2.81% (210 commits)
- Pragash-Mohanarajah/ai-hdr-inference — fix: linting and allowing custom model picker from config
- Pragash-Mohanarajah/ai-hdr-inference — fix: linting and allowing custom model picker from config
- Pragash-Mohanarajah/ai-hdr-inference — fix: linting and allowing custom model picker from config
- Pragash-Mohanarajah/axia-lm-optimizer — Merge pull request #58 from Pragash-Mohanarajah:main
- n15hsy/axia-lm-optimizer — Merge pull request #58 from Pragash-Mohanarajah:main
- Pragash-Mohanarajah/axia-lm-optimizer — feat: enable interactive mode for inference, when run from control panel
- n15hsy/axia-lm-optimizer — feat: enable interactive mode for inference, when run from control panel
- Pragash-Mohanarajah/ai-hdr-inference — feat: implement active loading of components in main entry file; ensures interactive mode functions as expected
- Pragash-Mohanarajah/ai-hdr-inference — feat: label reports by today's date in reports directory; option-based execution within main pipeline
- Pragash-Mohanarajah/work-tracker — chore: vercel automation bypass for github actions bot commits
- Pragash-Mohanarajah/Pragash-Mohanarajah — chore: vercel automation bypass for github actions bot commits
- Pragash-Mohanarajah/Pragash-Mohanarajah — chore: vercel automation bypass for github actions bot commits
- Pragash-Mohanarajah/taec-attendance — feat: implement fail-safe application with fallback center names and detached implementation for web
- Pragash-Mohanarajah/taec-attendance — fix: correct package versions for typescript compatibility
- Pragash-Mohanarajah/taec-attendance — feat: implement fail-safe application with fallback center names and detached implementation for web
- n15hsy/axia-lm-optimizer
- koblas/stdnum-js
- pytorch/tutorials
Last updated on Mon, 20 Apr 2026 20:36:55 GMT