1. Data Topology & System Concurrency
Architecting for high-throughput transactional states, relational schemas, or vector index sharding demands distinct engineering depths tailored to traffic velocity.
UNIFIED STUDIO SERVICES & ENGINEERING BLUEPRINT
Web Architecture, Enterprise GenAI & Autonomous Systems.
A single, consolidated practice for founders and organizations who need custom software systems built right: high-performance web platforms, private RAG pipelines, autonomous AI agents, video automation, and deterministic delivery scopes.
01
Core Engineering Stream
Custom Web Architecture & Infrastructure.
We engineer bespoke web applications, headless commerce systems, and resilient cloud architectures. Built with strict TypeScript, modular design systems, and zero bloated third-party plugins.
Custom Frontend Applications
Modern React, Next.js, and Vite architectures designed with atomic component systems, Tailwind CSS styling, strict WCAG AA accessibility, and sub-second First Contentful Paint.
- Sub-second FCP & 95+ Core Web Vitals SLA
- Strict TypeScript & Zero Implicit Any
- Smooth GSAP & micro-interaction performance
Headless CMS & Content Hubs
Decoupled content platforms powered by Sanity, Strapi, or headless WordPress, giving content editors complete autonomy without compromising frontend speed.
- Structured Schema Design & GraphQL Endpoints
- Incremental Static Regeneration (ISR) & Edge Caching
- Custom Editorial Dashboards & Content Governance
Backend APIs & Cloud Data
Robust RESTful and GraphQL APIs built with Node.js, Express, PostgreSQL, and Firebase Firestore. Engineered with connection pooling, normalization, and rate limiting.
- Third-Party Webhook & CRM Sync Pipelines
- JWT & Role-Based Access Control (RBAC) Security
- Cloud Run, AWS, & Vercel Edge Deployments
Technical SEO & Web Auditing
Deep semantic architecture engineering: automated canonical routing, Schema.org JSON-LD entities, OpenGraph protocol, and crawl-budget optimization for search indexers.
- Zero Broken Internal Links or Orphan Pages
- Semantic Schema Graph Entity Tagging
- Dynamic Open Graph Metadata for AI engines
Engineering Methodology
The 4-Stage Build Protocol.
PHASE 01
Technical Scoping
Deep diagnostic evaluating data models, compliance, and integrations.
DeliverableTechnical specification & schema
PHASE 02
Component Architecture
Design tokens, atomic hierarchy, and responsive layout prototyping.
DeliverableDesign system & UI component library
PHASE 03
Full-Stack Build
TypeScript implementation, API endpoints, and CI/CD staging environments.
DeliverableProduction codebase with continuous CI/CD
PHASE 04
Optimization & Launch
Lighthouse 95+ tuning, DNS / SSL hardening, and 30-day warranty.
DeliverableLive deployment & technical SLA
02
AI Systems Engineering
Enterprise Generative AI & Deep RAG Pipelines.
Private, domain-specific AI architectures for businesses that cannot afford hallucinations or data leakage. From pgvector semantic pipelines to autonomous multi-step agents.
Private RAG Architectures
Retrieval-Augmented Generation grounded in your proprietary documents. Chunking strategies, hybrid keyword-vector search, and re-ranking models for deterministic accuracy.
- pgvector, Pinecone, and Qdrant vector databases
- Custom embedding models and semantic chunking
- Exact source attribution and citation verification
Autonomous Workflow Agents
Multi-step agentic systems using function-calling and tool-use to execute complex workflows: CRM updates, document extraction, automated reporting, and dynamic API orchestration.
- Certified in Anthropic Claude Code & Agentic Workflows
- Structured JSON output with Zod schema validation
- LangGraph stateful loops with human-in-the-loop checkpoints
Local & Private Cloud Deployment
Self-hosted open-weights LLMs (Llama 3, Mistral, Qwen) on private VPCs or on-premise GPU clusters using Ollama, vLLM, or TGI. Zero data leaves your perimeter.
- Complete data sovereignty & zero third-party logging
- Quantization (GGUF, AWQ, FP8) for inference speed
- Cost-predictable, fixed compute infrastructure
Security & Guardrails Engineering
Prompt injection defense, PII masking, output guardrails (NeMo Guardrails, Llama Guard), and latency optimization pipelines designed for enterprise operations.
- Role-based access filters on vector queries
- Automated red-teaming and prompt vulnerability audits
- Sub-200ms token streaming latency targets
Architectural Principle
Why Generic "AI Wrappers" Fail in Production.
Anyone can call an API with a prompt. But naive wrappers break down under real conditions: rate limits, hallucinations, contextual drift, and data leakage. We treat LLMs as non-deterministic compute kernels requiring deterministic scaffolding: typed schemas, similarity thresholds, state machines, and real-time observability.
Zero Training ExposureProprietary IP is never used for foundation training.
Deterministic FallbacksHardcoded business rules override uncertain AI outputs.
Verified CitationsEvery answer references exact document IDs and timestamps.
03
Autonomous Systems
Autonomous Systems That Act, Not Just Answer.
I design and build AI agents that use real tools — APIs, databases, internal systems — to complete multi-step business workflows end to end, with guardrails and human-in-the-loop checkpoints built in from day one.
Tool-Using, Not Just Text-Generating
The agent calls real APIs and reads/writes real data — checking stock, generating a document, updating a CRM record — rather than merely describing what it would do.
Multi-Step, Goal-Directed
A defined goal, not a single prompt-response turn. The agent plans, executes tool calls in sequence, and adapts when a step fails.
Human-in-the-Loop by Design
Routine, low-risk actions run autonomously. High-value or ambiguous decisions are flagged for human review before anything commits.
Built on Your Actual Systems
Integrated with your CRM, database, and internal tools — not a generic assistant bolted on top with no operational access.
Real Use Cases, Not Demos
Outbound lead qualification & CRM handoff
Document intake, extraction & structured entry
Customer support triage with human escalation
Internal knowledge agents for ops teams
Automated report generation from live databases
Multi-step approval & workflow orchestration
04
Commercial AI Delivery
Commercial AI Implementation & Business Workflows.
We help forward-thinking organizations deploy practical, high-ROI AI capabilities into real daily operations.
Business Process & Workflow Automation
Automate multi-step manual workflows across customer support, ticketing, back-office operations, and CRM routing.
- Automated lead qualification and CRM data enrichment
- ERP synchronization and webhook-driven event triggers
- Human-in-the-loop validation controls for critical actions
Custom Workplace AI Assistants & Copilots
Deploy conversational interfaces embedded into Slack, Teams, or internal dashboards answering from verified company knowledge.
- Role-based access controls & confidential document isolation
- Accurate source citations and verifiable answer provenance
- Custom branded UI components and embed widgets
Intelligent Document Processing
Extract structured tabular data, entities, and summaries from PDFs, receipts, and contracts with high-accuracy multimodal OCR.
- Strict Zod schema validation for zero output corruption
- Automated ingestion pipelines directly into SQL databases
- Batch processing with background job queues
Enterprise API & Tool Integrations
Connect frontier foundation models (Claude, Gemini, GPT-4, Llama) with proprietary endpoints and SaaS without vendor lock-in.
- Model-agnostic routing with fallback resilience
- Token cost optimization and latency caching layers
- Comprehensive telemetry and rate limit guards
Investment Structures
Three Structured Commercial Delivery Models.
1–2 Week Sprint
AI Feasibility Diagnostic
Rapid evaluation of workflows, data readiness, model cost projections, and a detailed engineering RFC specification.
3–5 Week Milestone
Production AI Integration
Full implementation of practical AI workflows, custom copilot interfaces, and validated backend automation into production.
Custom Retainer
Deep Technical RAG & Agents
Private vector databases, fine-tuned embeddings, on-premise model hosting, and complex multi-agent architectures.
100% IP Ownership
All source code, schemas, and deployment scripts belong exclusively to you from day one.
Direct Principal Access
Zero junior handoffs. Every line of code is engineered personally by Vivek Chudasama.
Sub-Second SLA
Rigorous benchmarks on First Contentful Paint, Time to Interactive, and token latency.
Post-Launch Warranty
30 days of direct diagnostic support and bug remediation included with every build.
05
Creative & Communication
AI That Creates. AI That Communicates. AI That Automates.
From AI-generated short-form videos and UGC creatives to intelligent phone calling agents, WhatsApp automation, and end-to-end CRM workflows.
Create
- AI Short-form Videos
- UGC-Style Ad Creatives
- Product Showcase Videos
- Social-First Content
Engage
- Inbound & Outbound Calling
- WhatsApp AI Conversational Routing
- Automated Lead Qualification
- Instant Human Handoff
Automate
- CRM Data Sync
- Meeting Scheduling Sequences
- Invoice & Document Parsing
- End-to-End Business Ops
PART A
AI Video & UGC Production.
Professional video production without expensive sets or talent overhead. Built for Instagram Reels, YouTube Shorts, and paid performance creative.
Brief & IdeaScriptwritingAI Scene GenerationVoice / Avatar / UGCEditing & PolishCaptions & BrandFinal Export
Instagram ReelsYouTube ShortsProduct ShowcasesAI Avatar ExplainerUGC Ad CreativesSoftware WalkthroughsLead-Gen HooksLocal-Language Variants
Single Narrative Asset
Get a Quote- 20–30 second high-impact video
- Custom prompt engineering & generation
- High-fidelity audio & pacing
- Automated typography & captions
- 1 revision sprint included
High Velocity
Conversion Showcase Asset
Get a Quote- 30–45 second dynamic conversion narrative
- Tailored messaging script
- Custom AI neural generation
- Hyper-realistic neural voice synthesis
- Mastered multi-layer sound design
- Dynamic captions + 2 revisions
Enterprise Ads
Omnichannel UGC Suite
Get a Quote- Multi-variant direct-response assets
- Diverse hook angle variations
- Bespoke AI persona avatar
- High-conversion CTA choreography
- Rapid-turnaround split tests
- Optimized for Meta & TikTok feeds
Enterprise Creative Pipelines & Rendering Cadence
Continuous high-velocity rendering pipelines mapped directly to marketing sprint cycles.
Sprint Cadence
4 Assets / Cycle
Standard multi-aspect ratio rendering, studio-grade audio synthesis, and single revision loop.
Scale Cadence
8 Assets / Cycle
Custom conversion scripts, ultra-realistic voice models, animated subtitles, and iterative A/B cuts.
Omnichannel Pipeline
12 Assets / Cycle
Advanced AI avatar actors, custom brand guideline compliance, and multi-platform aspect ratios.
Enterprise Dedicated
24+ Assets / Cycle
Priority GPU rendering queue, continuous hook testing variations, and dedicated production workflow.
PART B
AI Calling Agents & WhatsApp Automation.
Turn conversations into sales and operations. Handle calls and chats 24/7 without growing support payroll.
Incoming LeadAI Voice / WhatsAppQualificationCRM LoggingInstant BookingHuman Escalation
AI Voice Calling Agent
Autonomous voice agents capable of handling inbound inquiries and executing outbound campaigns:
- Make and answer real telephone calls
- Answer complex FAQs naturally
- Qualify prospect interest and budget
- Schedule appointments directly on Google / Cal.com
- Live warm transfer to human staff on request
WhatsApp AI Automation
Automate the primary communication channel in India and globally with verified official APIs:
- Instant sub-second replies to inquiries
- Interactive catalog and product specifications delivery
- Lead qualification and automated follow-ups
- Direct sync to HubSpot, Zoho, and Google Sheets
- Team inbox routing with agent takeover
Operations Coverage
Sales Pipelines
Instant lead qualification, automated booking, and CRM sync.
Support Triage
Autonomous resolution of FAQs, issue classification, and human escalation.
Marketing Workflows
Content generation, multichannel outreach, and automated lead nurturing.
Back-Office Ops
Document ingestion, PDF data extraction, invoice logging, and ERP updates.
Omnichannel Chat
Two-way AI conversational routing on WhatsApp, Web, and Telegram.
Lead Generation
Bespoke cold outbound sequences and verified prospect data pipelines.
06
Delivery Framework
Enterprise Scopes & Architecture Delivery Protocols.
High-performance web platforms and AI systems are engineered with deterministic milestones and institutional transparency. Every build is scoped against data topology, concurrency requirements, integration complexity, and strict SLA standards.
2. Computational Logic & Agent Autonomy
Multi-step autonomous tool calls, deterministic validation loops, citation provenance verification, and human escalation gates are structured as discrete technical milestones.
3. Enterprise Protocols & Integrations
Direct telemetry hooks, ERP connectors, official WhatsApp Business APIs, banking gateways, and CRM synchronization with automated retry queues.
4. Observability & Hardened Governance
Full-lifecycle distributed logging, zero-trust token authentication, Content Security Policies, and sub-100ms Core Web Vitals performance tuning.
Institutional Standard
Predictable Delivery Standards & SLA Guarantees.
Direct principal engineer execution by Vivek Chudasama
Strictly typed TypeScript with zero type loopholes
Semantic JSON-LD schema & Generative Engine Optimization
Fixed-scope milestone roadmap prior to code implementation
Zero third-party offshore delegation or junior intermediaries
30-day post-launch architectural diagnostic warranty
Need a definitive, fixed-milestone architectural specification?
Schedule Architecture Scoping07
Architecture Advisory
Strategic Technical Architecture & Codebase Audits.
Before writing code, eliminate structural risk. We provide senior codebase reviews, database scalability modeling, and actionable 12-month engineering roadmaps.
01 / TECHNICAL DEBT
Codebase Decay
Identify fragile dependencies, unoptimized bundle sizes, and architectural leaks.
02 / DATABASE LOCKS
Query Inefficiencies
Eliminate N+1 queries, unindexed joins, and suboptimal locking that throttles traffic.
03 / AI FEASIBILITY
Pragmatic AI vs Hype
Separate commercial AI hype from practical architecture, ensuring real ROI.
04 / ROADMAP CLARITY
Developer-Ready RFCs
Equip your team with precise technical blueprints, ERDs, and sprint backlogs.
Advisory Methodology
The 4-Stage Technical Audit Framework.
01Audit Stage
Codebase & Infrastructure Review
In-depth inspection of Git repos, dependency graphs, CI/CD pipelines, and cloud hosting topology to catch hidden security vulnerabilities.
Key Deliverables
Dependency vulnerability audit
CI/CD pipeline bottleneck analysis
Repository modularity review
02Audit Stage
Database & API Scalability Modeling
Rigorous evaluation of data models, indexing strategies, cache invalidation, and API latency to prevent traffic lockups.
Key Deliverables
Entity-Relationship Diagrams (ERD)
Query indexing & caching strategy
API rate-limit blueprint
03Audit Stage
AI Feasibility & ROI Assessment
Pragmatic evaluation of where artificial intelligence generates tangible operational ROI versus unnecessary infrastructure cost.
Key Deliverables
RAG vs Fine-tuning feasibility matrix
Vector DB compute cost estimates
Data privacy & compliance audit
04Audit Stage
12-Month Engineering RFC Roadmap
A definitive, prioritized architectural Request for Comments (RFC) and sprint backlog ready for immediate execution.
Key Deliverables
Architectural RFC technical specification
Prioritized sprint backlog & milestones
Risk mitigation & refactoring plan
Audit Output
What You Receive from an Advisory Engagement.
Written Architectural RFC
A complete written spec covering stack decisions, hosting, security, and contracts.
Database Schema & ERD
Fully mapped visual and SQL schema models with indexing strategies for sub-100ms queries.
Security & Vulnerability Audit
Prioritized risk matrix with dependency flaws and step-by-step remediation procedures.
Sprint Execution Backlog
Milestone-ready tasks with effort estimations ready for internal team or studio deployment.
08
Frequently Asked Questions
Answers Across Architecture, AI & Delivery Scopes.
Filter questions by discipline to find exact details regarding timelines, tech stacks, privacy, and delivery models.