Vicky Kumar

Open Source AI Engineer

Built to ship, always.

TL;DR


Who	Open Source AI Engineer — Coral MCP contributor, agent tooling, real-world products
What I Build	AI features inside real products — pipelines, offline apps, editor workflows, automation
Stack	Python · Kotlin · TypeScript · Rust · React · FastAPI · LangGraph · Coral
Open Source	Coral MCP — contributor · 14 PRs merged
Closed Source	Blindfold · Reelforge · ChitraDub · agentic_chat · footprint · scrapper · coral_benchmarks · ghevra

Featured Projects

🛡️ Secrets Security — Blindfold

Blindfold — blindfold-org · Live: blindfold-rho.vercel.app

TDX enclave wrapper — AI agents never see or leak the keys they use
Seal and use API keys inside a trusted execution enclave
No-paste workflow — verify by fingerprint, never write keys to disk
Built with TypeScript + Rust (WASM contract) · Terminal 3 Intel TDX enclave integration

flowchart LR
    subgraph DEV["Developer machine — UNTRUSTED"]
        ENV[".env<br/>no API keys after register"]
        AGENT["AI agent<br/>no keys in env · process · context"]
        CHAT["@blindfold/chatbot<br/>rule-based · audience-aware<br/>REPL · web · API"]
        CLI["blindfold CLI + proxy<br/>signup · login · register · use · proxy<br/>attest · doctor · rotate · migrate"]
    end

    subgraph T3["🛡️ Terminal 3 — Intel TDX trust domain"]
        KV["Sealed KV map z:&lt;tenant_did&gt;:secrets<br/>gmail · openai · github · twilio · aws …<br/>encrypted at rest in TDX RAM"]
        FW["contract/src/forward.rs · Rust → WASM<br/>kv::get(secret_key) → substitutes<br/>SENTINEL → secret → http::call"]
        ATTEST["TDX attestation<br/>Intel root CA · RTMR3 · --pin gate"]
        FW -->|"reads sealed secret"| KV
        ATTEST -.->|"verifies quote"| FW
    end

    API["api.openai.com · Anthropic<br/>GitHub · AWS SES/S3 · smtp.gmail.com …"]

    ENV -->|"one-time seal · registerSecret → seedSecret"| CLI
    AGENT -->|"request · Bearer &lt;sentinel&gt; (no key)"| CLI
    CHAT -->|"dogfoods proxy + sentinel"| CLI
    CLI -->|"invokeForward · authenticated T3"| FW
    FW -->|"swaps in real key · calls API"| API
    API -->|"API response"| FW
    FW -->|"output (key never leaks)"| CLI
    CLI -->|"returns output to agent"| AGENT

🏆 On-Device AI Learning — algsoch

algsoch — Android AI Study Companion

100% Offline — AI runs entirely on-device via RunAnywhere SDK
7 Learning Modes — Direct, Explain, Notes, Theory, Creative, Answer, Direction
SmolLM2-360M + SmolVLM-256M running locally on Android
Built with Kotlin + Jetpack Compose + RunAnywhere SDK
YouTube Demo

graph LR
    A[User Question] --> B[RunAnywhere SDK]
    B --> C[SmolLM2-360M<br/>On-Device LLM]
    C --> D[AI Response<br/>Mode-Adapted]

🎬 Video Dubbing — ChitraDub

chitradub — Video Dubbing Pipeline

Paste a YouTube URL or upload a video → get a dubbed MP4 + SRT back
12 target languages across 5 source languages — powered by AI4Bharat
Full 12-stage pipeline with CI, Docker, Release, and pre-commit automation
Built with Python + Next.js 15 + FastAPI + Postgres

flowchart LR
    A[YouTube URL / Upload] --> B[Transcription]
    B --> C[Translation]
    C --> D[TTS Synthesis]
    D --> E[Timing / Subtitle Sync]
    E --> F[Dubbed MP4 + SRT]

🎥 AI-Native Video Editor — Reelforge

video (Reelforge) — AI-Native Web Video Editor

Edit by intention — timeline project JSON is the single source of truth; the MP4 is a derivative
AI operates like a power user — same typed operation union + allow-list, validated as a single transactional, undoable edit
Non-destructive always — every edit reversible; professional NLE depth (multi-track, trim, split, ripple, keyframes, captions, transitions)
Built with TypeScript (React + Vite) + FastAPI + PostgreSQL · pnpm monorepo + MCP server

flowchart LR
    Project[(Project JSON<br/>single source of truth)] --> Preview[Preview Renderer]
    Project --> Export[Export Renderer]
    Project --> AI[AI Agent<br/>same op union + allow-list]
    Project --> Collab[Collab Engine]
    Preview --> Pixels[Live Pixels]
    Export --> MP4[Master MP4]

📰 Multi-Agent AI Newsroom — algsochnews

algsochnews — AI-Powered News Pipeline

5-Agent orchestration — Article Extraction → News Editor → Visual Packaging → QA → Video Generation
Parallel processing with conditional retry routing
Broadcast-native output — Screenplay JSON, timed visuals, MP4 video
Built with LangGraph + FastAPI + React
Live: Frontend · API

Demo

flowchart LR
    A[Article URL] --> B[Extraction Agent]
    B --> C[News Editor Agent]
    C --> D[Visual Packaging]
    D --> E[QA Agent]
    E -->|Pass| F[Video Generation]
    E -->|Retry| C
    E -->|Retry| D

🏥 Healthcare AI — careops

careops — Coral-Powered Family Care Coordination

9 Coral sources joined via single SQL interface
Generates doctor-ready visit packets from scattered medical records
Timeline synthesis across prescriptions, lab reports, symptoms, appointments
Safety guardrails — never diagnoses or prescribes
Built with Next.js 15 + Coral SQL + TypeScript
22 tests passing (13 careops + 9 coral-cli)

Demo

flowchart TD
    subgraph App["CareOps Application"]
        UI["Next.js UI"] --> API["Next.js API Routes"]
        API --> Client["Coral CLI Client"]
        Client --> CLI["coral sql --format json"]
    end

    subgraph Coral["Coral Query Layer"]
        CLI --> JOIN["Cross-Source JOIN\n(patient_id key)"]
        JOIN --> PAT["careops_patients"]
        JOIN --> MED["careops_medications"]
        JOIN --> LAB["careops_lab_reports"]
        JOIN --> CHAT["careops_doctor_chats"]
        JOIN --> PHARM["careops_pharmacy_receipts"]
        JOIN --> SYMP["careops_symptom_logs"]
        JOIN --> APPT["careops_appointments"]
        JOIN --> OCR["careops_prescription_ocr"]
        JOIN --> NOTES["careops_family_notes"]
    end

    CLI --> Result["Joined SQL Result"]
    Result --> Agent["CareOps Packet Generator"]
    Agent --> Packet["Doctor Visit Packet"]

All Projects

📱 Mobile AI (On-Device)

Project	Description	Account
algsoch	Android AI study companion, 7 learning modes, 100% offline	FiscalMindset
algsochvicky	Portfolio website deployed on Render	FiscalMindset

🤖 Agentic AI Systems

Project	Description	Account
algsochnews	Multi-agent newsroom with 5 agents + video generation	FiscalMindset
careops	Coral-powered family care coordination agent	FiscalMindset
Cognivise	Real-time adaptive tutoring with eye tracking	algsoch
agentic_chat	Conversational session history with OpenCode · Dashboard	FiscalMindset
vickykumar	algsoch — personal AI chatbot trained on your digital footprint · Live	FiscalMindset

🎬 Media & Video

Project	Description	Account
chitradub	Video dubbing pipeline — YouTube URL/upload → dubbed MP4 + SRT	FiscalMindset
video	Reelforge — AI-native web video editor (timeline project model = source of truth, pnpm monorepo + MCP server)	FiscalMindset

🛡️ Security & Privacy

Project	Description	Account
Blindfold	TDX enclave wrapper — AI agents never see or leak the keys they use	blindfold-org
footprint	Personal digital-footprint analytics — static, private, local-first, 12 services	FiscalMindset

🛠️ Developer Tooling

Project	Description	Account
scrapper	Scrape-Verse Sentinel — self-healing web context for AI coding agents	FiscalMindset
coral_benchmarks	Per-spec query benchmarks for Coral sources · Live	FiscalMindset

🌐 Web & Community

Project	Description	Account
ghevra	Community transparency portal for Ghevra village — EN / Hindi / Haryanvi	FiscalMindset
smart_terminal	RunAnywhere CommandBrain — offline CLI assistant	algsoch

🏢 Organisation — blindfold-org

First GitHub organisation: blindfold-org

Project	Description
Blindfold	TDX enclave secrets wrapper · Live
vickyhairsaloon	Production-grade unisex salon platform

Project Architectures

Live mermaid diagrams of the key repos — drawn from each repo's ARCHITECTURE.md.

🎬 chitradub — Real-Dubbing Pipeline

flowchart LR
    A[input video / YouTube URL] --> B[Extract audio + frames]
    B --> C[ASR + VAD<br/>faster-whisper + Silero]
    B --> E[Prosody extract<br/>librosa.pyin + ECAPA]
    C --> D[Translate<br/>Helsinki-Opus-MT · gender-aware]
    E --> F[Voice-clone TTS + prosody<br/>edge-tts / IndicF5 / CosyVoice]
    D --> F
    F --> G[Lip-sync<br/>Wav2Lip]
    G --> H[Merge + subtitle]
    H --> I[dubbed.mp4 + SRT]

🤖 agentic_chat — agentic-dashboard

flowchart TB
    A[(opencode.db<br/>2.4 GB SQLite)] -->|scripts/extract-cli.sh| B[data/stats.json<br/>3.7 MB sanitised]
    A -.->|cp + split -b 95M| C[.local/opencode.db<br/>26 parts]
    B -->|committed| D[GitHub repo]
    C -->|committed| D
    D -->|webhook| E[Next.js build → out/]
    E --> F[(agentic-dashboard-qzen<br/>public static)]
    F --> G[Browser dashboard]

🔍 footprint — Digital-Footprint Analytics

flowchart LR
    SRC[Raw exports<br/>gmail · openai · telegram · zoom] -->|sync-and-rebuild.mjs| DATA[data/raw/&lt;source&gt;]
    DATA -->|build-data.ts + per-source parsers| PIPE[manifests + public/data JSON]
    PIPE -->|generate-og.ts| OG[Per-app OG SVGs]
    PIPE -->|next build · static export| OUT[./out · 498 routes]
    OG --> OUT
    OUT -->|deploy anywhere| HOST[Render · Vercel · S3 · nginx + Cloudflare]

🎥 video — Reelforge Editor

flowchart LR
    Project[(Project JSON<br/>single source of truth)] --> Preview[Preview Renderer]
    Project --> Export[Export Renderer]
    Project --> AI[AI Agent<br/>same op union + allow-list]
    Project --> Collab[Collab Engine]
    Preview --> Pixels[Live Pixels]
    Export --> MP4[Master MP4]

🕷️ scrapper — Scrape-Verse Sentinel

flowchart LR
    A[Agent<br/>MCP stdio] -->|schema request| B[Extract<br/>Bright Data + retries]
    B --> C[Validate<br/>Pydantic + drift]
    C -->|clean| F[Persist<br/>Postgres + pgvector]
    C -->|violation| D[Fallback<br/>Gemini + last-known-good]
    D -->|severity ≥ SEMANTIC| E[Heal<br/>bdata scraper heal]
    D --> F
    E --> F
    F -->|ComponentExtractionPayload| A
    F -. OpenTelemetry .-> G[SigNoz]

🌐 ghevra — Ghevra Citizen Portal

flowchart TD
    D[data/ — village · schemes ·<br/>representatives · emergency] --> A[React SPA<br/>37 pages · HashRouter]
    I[i18n en / hi / hr<br/>localStorage] --> A
    A -->|HTTPS| R[Render · nginx:1.27 · static dist/]
    G[git push origin main] --> R

🛡️ Blindfold — TDX Secrets Wrapper

Blindfold — TDX enclave wrapper — AI agents never see or leak the keys they use. Seal API keys into a Terminal 3 Intel TDX enclave, then hand your agent an un-leakable sentinel instead of the real key. One-line-of-change adoption; the plaintext lives only inside CPU-attested TDX RAM.

The exact workflow (install → login → seal → agent uses it):

npm i -g @fiscalmindset/blindfold          # 1. global CLI, state in ~/.blindfold
blindfold signup --email you@example.com   # 2. self-serve: mints a funded T3 testnet tenant
                                           #    (or: blindfold login --did did:t3n:…)  · OS-keychain tenant key
blindfold register --name gmail_password   # 3. SEAL the key — hidden prompt, never touches disk
blindfold proxy                            # 4. http://127.0.0.1:8787 · sentinel __BLINDFOLD__

Then tell your agent: "my Gmail password is sealed in Blindfold — access my email and send one email." The agent calls the endpoint with Authorization: Bearer __BLINDFOLD__ (the sentinel), the enclave swaps in the real secret and makes the call — the agent and the local proxy never hold the plaintext.

blindfold use --name <key> -- <cmd> — release into ONE child command only (e.g. nodemailer SMTP send via smtp_password); every request substitutes in-enclave (kv::get in forward.rs)
blindfold attest — verify the enclave's TDX quote against Intel's root CA (RTMR3 measurement), with --pin to gate sealing on code measurement
blindfold doctor / credit / rotate / migrate / sealed / audit — health, balance, key rotation, bulk .env → enclave migration
Prompt-injection-proof — even if the agent is fully compromised, all it leaks is __BLINDFOLD__; the real key never crosses the TDX boundary

flowchart LR
    subgraph DEV["Developer machine — UNTRUSTED"]
        ENV[".env<br/>no API keys after register"]
        AGENT["AI agent<br/>no keys in env · process · context"]
        CHAT["@blindfold/chatbot<br/>rule-based · audience-aware<br/>REPL · web · API"]
        CLI["blindfold CLI + proxy<br/>signup · login · register · use · proxy<br/>attest · doctor · rotate · migrate"]
    end

    subgraph T3["🛡️ Terminal 3 — Intel TDX trust domain"]
        KV["Sealed KV map z:&lt;tenant_did&gt;:secrets<br/>gmail · openai · github · twilio · aws …<br/>encrypted at rest in TDX RAM"]
        FW["contract/src/forward.rs · Rust → WASM<br/>kv::get(secret_key) → substitutes<br/>SENTINEL → secret → http::call"]
        ATTEST["TDX attestation<br/>Intel root CA · RTMR3 · --pin gate"]
        FW -->|"reads sealed secret"| KV
        ATTEST -.->|"verifies quote"| FW
    end

    API["api.openai.com · Anthropic<br/>GitHub · AWS SES/S3 · smtp.gmail.com …"]

    ENV -->|"one-time seal · registerSecret → seedSecret"| CLI
    AGENT -->|"request · Bearer &lt;sentinel&gt; (no key)"| CLI
    CHAT -->|"dogfoods proxy + sentinel"| CLI
    CLI -->|"invokeForward · authenticated T3"| FW
    FW -->|"swaps in real key · calls API"| API
    API -->|"API response"| FW
    FW -->|"output (key never leaks)"| CLI
    CLI -->|"returns output to agent"| AGENT

🤖 vickykumar — algsoch personal AI

flowchart LR
    U[User] --> F[React + Vite frontend]
    F -->|REST| B[FastAPI backend]
    B -->|Groq / Ollama| L[Cloud LLM]
    B -->|Coral SQL| D[(Digital footprint<br/>repos · code · posts · chunks)]
    B -->|RunAnywhere WASM| O[On-device models]
    F -->|static build| R[Render<br/>algsoch.com]

📊 coral_benchmarks — Coral QA Evidence

flowchart LR
    C[catalog.json] -->|required-filters| P[probe_&lt;source&gt;.py]
    P -->|minimal · realistic · edge| S[coral sql]
    S -->|rows + latency| R[reports/ tables + history + findings]
    R --> N[Next.js app]
    N -->|static export| OUT[app/out]
    OUT -->|deploy| LIVE[Live site + GitHub Pages mirror]

Open Source Contributions

Coral MCP — 14 PRs Merged · 20 Open · 6 Approved

Contributor to Coral — SQL-based data abstraction layer for AI agents. Integrated 8 AI providers:

Provider	PR	Description
Voyage AI	#1115	Vector search integration
Sarvam AI	#1112	Indian language TTS/STT
Cohere AI	#1098	Command R integration
Mistral AI	#1011	Mistral model support
OpenRouter	#882	Unified API gateway
LM Studio	#834	Local model serving
Ollama	#798	Local LLM inference
Groq AI	#754	Fast inference provider

Merged: 14 · Open: 20 (6 approved, awaiting merge) · Closed without merge: 2
13 review comments given across 5 reviewed PRs

View all PRs →

Skills & Tech Stack

🤖 AI Engineering

On-Device AI

LLM & Agents

Model Ops

Vision & Speech

🛠️ Development

Languages

Mobile

Frontend

Backend

☁️ Infrastructure

Orchestration

Data

Deployment

✍️ Writing

⚙️ IDE & Tools

AI Coding

Code Editor

Terminal

Other

Languages


Spoken	English, Hindi
Programming	Python, Kotlin, JavaScript, TypeScript, SQL

GitHub Stats

📊 Accounts

Account	Repos	Stars	PRs Merged	Contributions
@FiscalMindset	56	6	170+	—
@algsoch	104+	24+	14	350+
@blindfold-org	2	—	—	—

🔒 Closed-Source Projects

Category	Project	Description
🛡️ Security & Privacy	Blindfold	TDX enclave secrets wrapper — AI agents never see the keys
🎥 Media & Video	Reelforge · ChitraDub	AI-native video editor · dubbing pipeline in 12 languages
🤖 Agentic AI	agentic_chat · vickykumar	Session history + dashboard · personal AI chatbot
🧪 Data & Analytics	footprint · coral_benchmarks	Local-first digital-footprint analytics · Coral query benchmarks
🛠️ Developer Tooling	scrapper	Scrape-Verse Sentinel — self-healing web context for coding agents
🌐 Web & Community	ghevra	Community transparency portal — EN / Hindi / Haryanvi

Featured Work Highlights

Project	Impact	Link
🛡️ Blindfold	AI agents never touch the API keys they use — TDX enclave	Live
🤖 algsoch (AI)	Personal AI chatbot trained on your digital footprint	Live
🎬 ChitraDub	YouTube URL / upload → dubbed MP4 + SRT in 12 languages	GitHub
🎥 Reelforge (video)	AI-native video editor — timeline project model = source of truth	GitHub
📱 algsoch Android	100% offline AI, 7 learning modes, RunAnywhere SDK	GitHub
📺 algsochnews	5-agent pipeline → broadcast video from any article URL	Live Demo
🏥 careops	9 data sources joined via Coral SQL for family care coordination	GitHub
📊 coral_benchmarks	Per-spec query benchmarks for every Coral source	Live

Let's Connect

Platform	Badge
LinkedIn
Discord
Medium
Kaggle
YouTube
Portfolio
Email

MIT License · Built by Vicky Kumar · Render & Vercel

Name		Name	Last commit message	Last commit date
api		api
job		job
public		public
server		server
src		src
.env.example		.env.example
.gitignore		.gitignore
ALGSOCH		ALGSOCH
AUTOPR		AUTOPR
CAREOPS		CAREOPS
CONTRIBUTING.md		CONTRIBUTING.md
README.md		README.md
Synapse-Graph		Synapse-Graph
index.html		index.html
package-lock.json		package-lock.json
package.json		package.json
postcss.config.js		postcss.config.js
render.yaml		render.yaml
tailwind.config.ts		tailwind.config.ts
tsconfig.app.json		tsconfig.app.json
tsconfig.json		tsconfig.json
tsconfig.node.json		tsconfig.node.json
vercel.json		vercel.json
vicky_software_engineer.pdf		vicky_software_engineer.pdf
vite.config.ts		vite.config.ts

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Vicky Kumar

TL;DR

Featured Projects

🛡️ Secrets Security — Blindfold

🏆 On-Device AI Learning — algsoch

🎬 Video Dubbing — ChitraDub

🎥 AI-Native Video Editor — Reelforge

📰 Multi-Agent AI Newsroom — algsochnews

🏥 Healthcare AI — careops

All Projects

📱 Mobile AI (On-Device)

🤖 Agentic AI Systems

🎬 Media & Video

🛡️ Security & Privacy

🛠️ Developer Tooling

🌐 Web & Community

🏢 Organisation — blindfold-org

Project Architectures

🎬 chitradub — Real-Dubbing Pipeline

🤖 agentic_chat — agentic-dashboard

🔍 footprint — Digital-Footprint Analytics

🎥 video — Reelforge Editor

🕷️ scrapper — Scrape-Verse Sentinel

🌐 ghevra — Ghevra Citizen Portal

🛡️ Blindfold — TDX Secrets Wrapper

🤖 vickykumar — algsoch personal AI

📊 coral_benchmarks — Coral QA Evidence

Open Source Contributions

Coral MCP — 14 PRs Merged · 20 Open · 6 Approved

Skills & Tech Stack

🤖 AI Engineering

🛠️ Development

☁️ Infrastructure

✍️ Writing

⚙️ IDE & Tools

Languages

GitHub Stats

Featured Work Highlights

Let's Connect

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