Development & IT Consultation with Techscriptaid C.
Development & IT Consultation with Techscriptaid C.
I can help you with:
• Architecture & System Design: Clean Architecture, CQRS, microservices vs monolith decisions, database design, API design, scalability planning
• AI Integration: LLMs in production apps, prompt engineering, automation pipelines, hallucination prevention, local vs hosted AI models
• Full-Stack Development: React/Node.js stack decisions, .NET Core backends, WebRTC/real-time apps, JWT/OAuth authentication
• Cloud & Deployment: Docker, reverse proxy setup, CI/CD pipelines, Oracle Cloud/AWS, cost optimization
• AI-Powered Development: Claude Code workflows, using AI tools effectively for production-grade development
Live products I have built: voicemeet.techscriptaid.com (real-time audio platform) and ContentFlow AI (AI-powered WordPress automation).
Every session includes a follow-up document with key recommendations and actionable next steps.
Get personalized advice on:
AI & Machine Learning
AI Integration
Database Development
Prompt Engineering
Web Programming
ai-powered application development
enterprise architecture & system design
cloud deployment & devops
You’re covered with payment protection so you can cancel and get a full refund up to 24 hours before your consultation.
About Techscriptaid
Principal Software Architect | AI Agent Builder | 20 Years Enterprise
Jaipur, India - 7:32 am local time
Principal Software Architect with 20 years of enterprise systems experience across Fortune 500 engagements — Applied Materials (semiconductor) through ASM Technologies, PepsiCo (supply chain) through Melstar/Genpact, and United Airlines / Virgin Atlantic (aviation revenue management) through RTS Systems.
I hold an MBA in Business Analytics from BITS Pilani, which means I bridge deep technical execution with senior business stakeholder strategy — the cross-functional translation layer between data science, engineering, and executive leadership.
I architect and ship AI-integrated production systems — not demos.
Three products in active production: VoiceMeet Pro (scalable real-time audio conferencing with WebRTC/LiveKit, cloud recording, AI transcription, live on Google Play), ScriptPost AI (autonomous WordPress content engine powered by local LLMs — Ollama / Qwen 2.5 Coder 14B — at zero API cost), and Spark (Python multi-agent evaluation system on FastAPI with concurrent observer agents and atomic state coordination).
My core work is the architecture and MLOps layer that takes data science models from notebook to production: model serving infrastructure, multi-agent orchestration, feature integration, BI/dashboard wiring, observability, and governance.
I partner with applied data scientists on the modeling; I own the platform that makes it reliable at scale. Active development environment: multi-model stack — local Ollama (Qwen 2.5 Coder 14B, Gemma) plus Anthropic API selected per task, with Claude Code integrated in VS Code.
Onsite client work in the US (2017, Applied Materials) and Australia (2012, TridentGlobal).
Founder of TechScriptAid™ (D-U-N-S® 581452107).
PRODUCTS SHIPPED
▶ VoiceMeet Pro
Real-time audio meeting platform. Scalable multi-participant rooms, sub-2s latency, studio-grade WebRTC audio (LiveKit), per-participant cloud recording, AI transcription with real speaker names (Whisper via Groq), host visibility controls, guest access without registration, waiting room, Google SSO, admin dashboard, Razorpay + Stripe payments. React, Node.js/TypeScript, PostgreSQL, Redis, Oracle Cloud. Live on Google Play production + browser-based.
▶ ScriptPost AI
Autonomous WordPress content engine powered by local LLMs (Ollama/Qwen 2.5 Coder 14B). Generates 1,500–2,000 word SEO-optimized articles with syntax-highlighted code blocks, auto-fixes 14+ SEO issues, generates structured data schema (JSON-LD) and meta descriptions, intelligent internal linking, batch processing with cron scheduling, error recovery with exponential backoff. TypeScript, Node.js, Python tooling, Clean Architecture, DDD. Zero API costs.
▶ Spark
Python multi-agent evaluation system on FastAPI + React/TypeScript Vite. Orchestrates five concurrent specialist agents via asyncio.gather after each interaction, with atomic JSON state patching through asyncio.Lock (read-inside-lock semantics), crash-safe SQLite task queue with replay-on-startup recovery, SSE streaming chat, and a three-pass JSON extractor with a documented switch trigger to tool-use enforcement when observer failure-rate data justifies the per-call token cost. Schema-versioned profile model with automatic migration. Production-grade Python concurrency and evaluation harness design.
SERVICES
AI integration — RAG pipelines, LLM workflows, multi-agent orchestration, intelligent automation
AI evaluation — evaluation harness design, structured output validation, model output analysis
Full-stack development — Python/FastAPI, Node.js/TypeScript, React/Next.js, PostgreSQL, Redis
Cloud & deployment — Oracle Cloud, AWS, Docker, automated SSL, CI/CD pipelines with architecture fitness checks
System architecture — Clean Architecture, CQRS/MediatR, Circuit Breakers, DDD
Legacy modernization — .NET/Java monoliths → modern Python or Node.js/TypeScript stacks
TECH STACK
Python, FastAPI, asyncio, TypeScript, Node.js, React, Next.js, PostgreSQL (+ pgvector), Redis, SQLite, Docker, Oracle Cloud, AWS, LiveKit, Ollama (Qwen 2.5 Coder, Gemma), Anthropic API, OpenAI API, Whisper, C#, ASP.NET Core. Claude Code in VS Code as primary dev environment.
ENGINEERING APPROACH
Clean Architecture. CQRS with MediatR. Circuit Breaker patterns. Atomic state coordination for concurrent systems (asyncio.Lock with read-inside-lock semantics). Crash-safe task queues with replay. Redis caching and session management. Docker containerization. Automated CI/CD pipelines with dependency-cruiser architecture fitness checks. Dependency Injection. Repository Pattern. Transactional reliability.
Comprehensive error handling, structured logging, and monitoring. Full documentation and knowledge transfer.
What to expect
Schedule the consultation
Choose from the freelancer’s available days and times.
Get advice for your custom needs
Share details about your project and what you want to talk about. The freelancer will review and reach out if they have questions.
Join the Zoom meeting
1-on-1 meeting with the freelancer to discuss your needs and project.
Approve the work
The freelancer will finish up the documents you asked for and send them to you for approval:
Before the consultation
Here’s what Techscriptaid will need to know before you meet
- Describe your project or challenge: What are you building, what tech stack are you using, and what specific problem do you need help solving?
- What is your main goal for this consultation? (e.g., architecture review, tech stack decision, AI integration planning, deployment guidance, scaling advice)
- Share any relevant links - GitHub repos, live URLs, or docs that will help me prepare for our session. (optional)