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: 1 days
- 🏆 Longest Streak: 26 days
- ✨ Total Commits: 4,984
- 💖 Commit Breakdown: 516 public (10.4%), 4,468 private (89.6%) · 1,990 owned (39.9%), 2,994 contributed (60.1%)
- 🚀 Repositories: 82 (35 public (42.7%), 47 private (57.3%))
- 👤 Ownership: 77 owned (93.9%), 5 contributed-to (6.1%)
- ⭐ Stars: 99,901 · 👀 Watchers: 695 · 🍴 Forks: 11,948 · 🗄️ Archived: 19
- 🧠 Estimated Lines of Code: 2,316,076
- 🤝 Followers: 1 · Following: 11
- 📅 Account age: 1,904 days
C ███████ 29.10% (673,946 LOC)
TypeScript ███████ 26.63% (616,886 LOC)
Jupyter Notebook ██ 9.33% (216,134 LOC)
MDX ██ 8.13% (188,350 LOC)
Python ██ 7.04% (163,042 LOC)
HTML █ 4.91% (113,758 LOC)
JavaScript █ 4.41% (102,124 LOC)
Makefile █ 2.68% (62,186 LOC)
JavaScript ████ 16.67% (36 repos)
Python ████ 14.35% (31 repos)
CSS ███ 12.96% (28 repos)
TypeScript ██ 9.72% (21 repos)
HTML ██ 9.26% (20 repos)
Shell ██ 6.94% (15 repos)
Jupyter Notebook █ 5.09% (11 repos)
Dockerfile █ 4.17% (9 repos)
C ███████ 29.10% (33,697,286 bytes)
TypeScript ███████ 26.64% (30,844,298 bytes)
Jupyter Notebook ██ 9.33% (10,806,681 bytes)
MDX ██ 8.13% (9,417,516 bytes)
Python ██ 7.04% (8,152,039 bytes)
HTML █ 4.91% (5,687,882 bytes)
Other ████████████████ 65.85% (54 repos)
AI / ML █████ 18.29% (15 repos)
Web Apps ██ 9.76% (8 repos)
Data Systems ██ 6.10% (5 repos)
AI / ML ████████████████████ 78.05% (1,807,646 LOC)
Other █████ 19.89% (460,666 LOC)
Data Systems 1.48% (34,226 LOC)
Web Apps 0.58% (13,538 LOC)
JavaScript ███████████ 43.90% (36 repos)
Python █████████ 37.80% (31 repos)
CSS █████████ 34.15% (28 repos)
TypeScript ██████ 25.61% (21 repos)
HTML ██████ 24.39% (20 repos)
Shell █████ 18.29% (15 repos)
Jupyter Notebook ███ 13.41% (11 repos)
Dockerfile ███ 10.98% (9 repos)
SCSS ██ 6.10% (5 repos)
Makefile ██ 6.10% (5 repos)
- 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 · 232 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)
- Pragash-Mohanarajah/taec-thamilthiren (Other · 167 commits · private)
- Pragash-Mohanarajah/taec-thamilthiren-backend (Other · 156 commits · private)
- AxiaFunder/dashboard-axiafunder (Other · 1918 commits · private)
- AxiaFunder/axiafunder — Monorepo for Axiafunder Applications (Other · 1 commits · private)
- supabase/supabase — The Postgres development platform. Supabase gives you a dedicated Postgres da... (AI / ML)
Night (00-06) 0.98% (21 commits)
Morning (06-12) █████████████ 52.44% (1,119 commits)
Afternoon (12-18) ████████ 30.51% (651 commits)
Evening (18-24) ████ 16.07% (343 commits)
Sunday ██ 9.91% (518 contributions)
Monday ████ 14.87% (777 contributions)
Tuesday ████ 17.07% (892 contributions)
Wednesday █████ 18.20% (951 contributions)
Thursday ████ 14.91% (779 contributions)
Friday ████ 17.03% (890 contributions)
Saturday ██ 8.02% (419 contributions)
AxiaFunder/dashboard-axiafunder ██████████ 38.48% (1,918 commits)
Pragash-Mohanarajah/exambank-ai-frontend ██ 9.51% (474 commits)
Pragash-Mohanarajah/portfolio █ 4.65% (232 commits)
cued-ia-computing/flood-kg487-pm719 █ 4.21% (210 commits)
n15hsy/axia-lm-optimizer █ 3.87% (193 commits)
IB-Integrated-Design-Project-Group-M202/competition-in-arena █ 3.39% (169 commits)
Pragash-Mohanarajah/taec-thamilthiren █ 3.35% (167 commits)
- AxiaFunder/dashboard-axiafunder — Merge pull request #149 from AxiaFunder/develop
- AxiaFunder/dashboard-axiafunder — Merge pull request #148 from AxiaFunder/fix/slack-daily-financials
- AxiaFunder/dashboard-axiafunder — fix: comply with prefer-const for successful builds
- AxiaFunder/dashboard-axiafunder — fix: comply with prefer-const for successful builds
- AxiaFunder/dashboard-axiafunder — chore: separate code into shared, helpers, types and calculation files in lib for simplicity
- AxiaFunder/axiafunder — Initial commit
- Pragash-Mohanarajah/hle-solver — chore: update package versions and cuda runtime configurations to match local GPU setup
- Pragash-Mohanarajah/hle-solver — chore: update package versions to support CUDA 12.1 on local GPU
- Pragash-Mohanarajah/hle-solver — fix: add backward stable support for python 3.12 wheels with cuda enabled torch
- Pragash-Mohanarajah/hle-solver — feat: add helper files to explain process and setup for project
- Pragash-Mohanarajah/hle-solver — feat: add helper files to explain process and setup for project
- Pragash-Mohanarajah/ai-hdr-inference — chore: delete unused cli entry file
- Pragash-Mohanarajah/ai-hdr-inference — feat: finalise mode declarations and implementation flows for inference
- Pragash-Mohanarajah/ai-hdr-inference — feat: finalise mode declarations and implementation flows for inference
- Pragash-Mohanarajah/ai-hdr-inference — fix: minor improvements and patches to distinguish local and cloud based file uploads to gemini
- n15hsy/axia-lm-optimizer
- koblas/stdnum-js
- pytorch/tutorials
Last updated on Tue, 31 Mar 2026 05:41:00 GMT