

I build things that ship — then I sell them.
CS student at Chennai running three tracks at once: systems engineer · ML researcher · digital entrepreneur. Python-first, comfortable from GPU shaders to Rust systems to production ML.
I've built and sold 7 digital products — all launched organically through Reddit & Discord. No VC, no paid ads.
The edge: I write the code, design the architecture, train the model, run the campaign, and close the sale. Most people pick one — I compound all of them.
Primary: Python · FastAPI · PyTorch · React · Three.js · AWS
Systems: C++17 · Rust · WebAssembly · GLSL
Open-Source: SYNTHRON · VORTEXRAG · puredata.py · datamend.py

Python Dev
My primary stack. ML pipelines · FastAPI · automation · data tools · CLI libraries. Where I'm fastest.
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ML Architect
Novel transformer architectures. Graph topology · temporal decay · adaptive compute. Not fine-tuning — designing.
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WebGL Wizard
Three.js · GLSL shaders · WebAssembly · 600K GPU particles in-browser. Pushing what browsers can do.
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Growth Hacker
Google Ads · Meta · SEO · Reddit launches · Discord communities. Zero ad spend, organic conversions.
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Entrepreneur
7 digital products built and sold. eLearning · dev tools · automation. Different platforms, different prices.
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Cloud Optimizer
AWS + GCP cost optimization. Avg 30-50% infra reduction. Grafana monitoring. Startups love this.
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AI Framework Builder
SYNTHRON multi-agent framework · VORTEXRAG 7-layer RAG · LLM eval · agentic orchestration at scale.
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Mobile Engineer
Flutter · Firebase · Riverpod. Built SparshCare — 50-file ICU patient communication app, 4 languages.
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Open Source Creator
40+ public repos. puredata.py · datamend.py · SYNTHRON · VORTEXRAG. Real libraries solving real pain.
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Data Viz Expert
CesiumJS · Three.js · D3.js · Grafana. FLY-VIEW globe · Graphite metrics · Tradeorbit trade flows.
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LLM Benchmarker
Production LLM eval framework. GPT-4 · Claude · Gemini · Mistral. Accuracy, latency, cost, hallucination.
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7 digital products. Built solo. Sold through community. Zero VC. Zero paid ads.
Flagship: a full eLearning platform — sold for 68K. Course infra, payments, progress tracking, instructor dashboards. Marketed and sold entirely through Reddit & Discord. Zero ad spend.
Product Portfolio
| # |
Category |
Type |
Price Range |
| 1 |
eLearning Platform |
Full SaaS |
68K |
| 2 |
Developer Automation Suite |
Tool |
12K – 18K |
| 3 |
AI Analytics Dashboard |
SaaS |
20K – 35K |
| 4 |
Content Creator Toolkit |
App |
5K – 8K |
| 5 |
Resume & Portfolio Builder |
SaaS |
8K – 15K |
| 6 |
Community Management Bot |
Tool |
6K – 10K |
| 7 |
Data Pipeline Automation |
B2B Tool |
25K – 40K |
Launch platforms: Reddit (primary) · Discord servers · Slack workspaces · Developer forums

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Startups & Scale-ups
Senior-level engineering without senior-level headcount — full-stack features, ML pipelines, cloud infra, WebGL/3D data products.
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HR & Talent Teams
Internal tools — ATS integrations, automated screening, candidate analytics, attendance intelligence.
|
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Cloud Cost Optimization — AWS + GCP
Audit, right-size, monitor via Grafana + CloudWatch. Average 30–50% infra cost reduction, zero performance loss.
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Digital Marketing for Tech
The bridge between founders who can't market and marketers who can't speak to engineers. SEO + community-led growth that converts technical audiences.
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My flagship product. A self-hosted AI assistant powered by Claude Fable 5.
Connects WhatsApp, Telegram, Slack, Gmail + 100 more apps. Tamil & Hindi UI built in. Mobile PWA. Free local mode with Ollama. One command: npx vilvona

Star the Repo · Docs · npm · Get Pro
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My best work. The most comprehensive production guide to AI-assisted development.
Built from real shipping experience. Covers advanced patterns, hooks, MCP servers, tool orchestration, and workflows no official documentation touches. The guide engineers actually use when vibe coding at scale.

Read the Guide
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A novel neural architecture. My top research. More coming.
Fuses dynamic graph topology + temporal semantic decay + adaptive depth routing. Tokens connect by similarity, exit when confident. O(S·k) vs O(S²). 15 unit tests + 4 ablation notebooks. RAG integration and 1B+ scaling next.

View Architecture
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DSA theory as 8 immersive game worlds.
Array Forests · Stack Volcanoes · Graph Cities · Recursion Temples. Every algorithm animated step-by-step. XP system, Firebase saves. Runs in browser via WebAssembly — no install.

Play Live | Repo
|
600,000 GPU-rendered particles + live global news = a universe.
Custom GLSL shaders · 15 procedural planets · black hole with gravitational lensing · live data from 3 APIs · 1300vh scroll. Entire thing runs in a single HTML file.

Enter the Universe | Repo
|
The Bloomberg terminal for cyber warfare — live.
3D globe with real-time attacks · ThreatStream engine · Protocol Observatory · Bastion Replay System with 5-min/1-hr/24-hr timelines. Looks like Mission Control for the internet.

Live Demo | Repo
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A gamified engineering universe across 10 planets.
Git to Quantum Computing. Neural Snake · Space Combat quizzes · Temple Run debugging. Multi-AI mentoring. Real engineering incident simulations.

Explore Galaxy
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Institutional AI attendance intelligence at scale.
Computer vision pipeline · behavioral anomaly detection · admin dashboards · predictive analytics. Built for multi-campus deployment from day one.

View Project
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A cinematic 3D browser interface that responds to every interaction.
The entire UI is a living, reactive 3D environment. A demonstration of what the browser actually can do when you stop treating it like a document renderer.

Experience It | Repo
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The multi-agent AI framework that actually works.
Orchestrate fleets of AI agents with real task decomposition, inter-agent communication, and fault tolerance. Not a wrapper — a framework. Built for production AI systems that need more than a single model call.

View Framework | Docs
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The only RAG that kills semantic drift and context poisoning simultaneously.
VORTEX: Vector Orthogonal Resonance-Tuned EXtraction. 7-layer architecture solving what standard RAG pipelines can't. Novel approach to retrieval that understands semantic relationships, not just vector proximity.

View Framework
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Production-grade benchmarking across the big four LLMs.
GPT-4 · Claude · Gemini · Mistral — all in one framework. Accuracy, latency, cost, hallucination rate, reasoning depth. The tool you use before trusting an LLM in production.

View Framework
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The most advanced open-source metrics visualization platform.
Real-time streaming · 3D topology · AI anomaly detection · Zero backend — runs entirely in the browser. Makes Grafana look like a spreadsheet.

View Project
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A photorealistic Earth overlaid with three real-time data layers.
Built on CesiumJS — the same engine NASA uses. Standalone client-side. No backend, no API key, no dashboard panels. Just Earth, alive with data that means something.

View Project
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Control thousands of particles with your bare hands.
Pure black. Pure white. No UI. Just physics and motion. Tracks your hand in real time and lets you sculpt a particle universe. The most minimal thing I've built — and somehow the most impressive.

View Project
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See the invisible $32 trillion force that moves the world — in real time.
Global trade flows rendered visually, beautifully, in your browser. The kind of data that was locked behind Bloomberg terminals, now free and cinematic.

View Project
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Two production Python libraries shipped from real pain.
puredata — automatic data cleaning and silent drift detection. datamend — the single library that catches, fixes, validates, monitors, and traces every data quality issue. Your ML pipeline never breaks from bad data again.

puredata.py | datamend.py
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6 months of agentic engineering, finally shareable.
Advanced Claude agent skills, workflows, and patterns built from shipping real production systems. The things no documentation tells you — from someone who's been using Claude Code in anger for 6 months.

View Project
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J.A.R.V.I.S — Just A Rather Very Intelligent System.
Voice-driven AI assistant built from scratch. Wake word detection, intent parsing, multi-modal response. The Iron Man interface, made real.

View Project
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A production-grade distributed KV store written entirely in Rust.
Raft consensus for fault-tolerant replication · LSM tree storage engine · gRPC transport. The kind of systems project that proves you understand distributed systems from first principles — not just theory.

View Project | Docs
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A complete time-series database built from scratch in Rust. 100+ tests passing.
Custom storage engine · time-indexed retrieval · compression · streaming ingestion. Built to understand how databases actually work at the lowest level — then shipped as a real, tested system.

View Project | Docs
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A full-stack cybersecurity threat detection platform — 3 phases, all complete.
Go detection engine · Node.js ingest pipeline · Next.js SOC dashboard · CI/CD · MkDocs documentation. Real-time threat ingestion, analysis, and visualization. Built like a production security ops product.

View Project
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Privacy-first coding analytics that lives entirely on your machine.
Live Pulse activity feed · Strand PNG shareable cards · AI ratio detection · local JSON storage — zero data ever leaves your device. The developer analytics tool that respects you.

View Project
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A free, live resume builder at craftezmyresume.com — built and maintained solo.
Groq AI-powered content suggestions · 224 templates · ATS checker · GitHub Pages + GoDaddy DNS + HTTPS. Real users, real traffic, production infrastructure run by one person.

Live Site | Repo
|
A Flutter app that gives ICU patients a voice when they can't speak.
50+ files · 4 languages · 6 communication card sets · admin panel · eye tracking interface · Firebase + Riverpod. Built for real clinical environments. One of the most human things I've shipped.

View Project
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Open-source. Live. The RAG architecture the field is missing.
VORTEXRAG is now public. A 7-layer production RAG framework that solves what standard pipelines can't: semantic drift and context poisoning — simultaneously. Built on the TemporalMesh Transformer backbone with custom retrieval that understands temporal semantic relationships, not just cosine similarity.
STANDARD RAG: Query -> Embed -> Top-K -> Stuff context -> Generate
Problem: No temporal awareness. Context poisoning. Drift.
VORTEXRAG: Query -> Temporal Embed -> Orthogonal Resonance Tuning
-> 7-Layer Extraction -> Confidence-Gated Context -> Generate
Result: The only RAG that kills semantic drift + context poisoning
| Layer |
Function |
Status |
| Vector Orthogonal Tuning — noise cancellation on embedding space |
Core innovation |
LIVE |
| Resonance Retrieval — semantic resonance, not cosine similarity |
Core innovation |
LIVE |
| Temporal Decay — time-aware context weighting |
Core innovation |
LIVE |
| Context Poison Detector — filters adversarial/stale context |
Safety layer |
LIVE |
| Confidence Router — skips generation if retrieval confidence low |
Reliability layer |
LIVE |
| Aerospike Vector Store integration |
Storage layer |
IN PROGRESS |
| FastAPI streaming interface |
API layer |
IN PROGRESS |
View VORTEXRAG on GitHub

Two libraries. Both built from real pain points across 5+ projects. On GitHub now.
puredata.py — Automatic Data Cleaning & Drift Detection
Nulls sneak in. Distributions shift. Models fail silently on corrupted inputs. puredata is the library that catches it before it breaks your pipeline. Zero config, drop-in.
import puredata as pd
df = pd.clean(your_dataframe) # auto-cleans nulls, outliers, type mismatches
pd.monitor(df, interval=60) # silent drift detection in production
datamend.py — Production Data Quality
The single library that catches, fixes, validates, monitors, and traces every data quality issue — automatically. So your ML pipeline never breaks from bad data again.
from datamend import Pipeline
pipeline = Pipeline(df)
pipeline.fix().validate().monitor() # one chain, complete data quality
puredata.py on GitHub · datamend.py on GitHub · Announced on Reddit and Discord




Every product I've sold started with a Reddit post, a Discord message, or a Slack thread.
I don't launch behind paywalls or in isolation. I build in public, share progress, and let the community validate before I optimize. Free launches first, real feedback always, paid version after trust is built.
Why Reddit works: Technical communities have the highest-intent buyers on the internet. They evaluate rigorously, tell their networks when something is good, and prefer buying from builders they've seen in the community.



VIGNESHWAR · Engineer · Entrepreneur · ML Architect · CS @ Chennai
Open to collabs · contracts · co-founders · Respond within 24h