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Best For: Companies wanting to integrate LLMs, automate complex document/audio processing, or reduce manual operational overhead.
What I Deliver:
End-to-end Retrieval-Augmented Generation (RAG) pipelines for internal databases and dynamic documents.
Custom AI agents using OpenAI, Claude, or open-source models tailored to your business logic.
Automated workflows connecting third-party APIs, CRM platforms, and communication channels (Telegram, WhatsApp, Webhooks).
Core Stack: Python, Node.js, Vector Databases (Pinecone/Qdrant/Milvus), LangChain/LlamaIndex, Custom APIs.
Key Outcome: 80%+ reduction in manual tasks and instant semantic search across millions of unstructured records.
Best For: Founders, agencies, and product teams needing a production-ready application shipped in days rather than months.
What I Deliver:
Full-stack SaaS application development using AI-accelerated tools paired with custom backend code.
Clean, high-conversion user dashboards and admin portals (no cluttered UI; focused on performance and usability).
Secure authentication, payment gateways (Stripe, Razorpay), user roles, and subscription management.
Core Stack: Lovable, React, Node.js, Tailwind CSS, PostgreSQL / MongoDB.
Key Outcome: Launch a scalable, investor-ready MVP in 7 to 14 days.
Best For: Platforms experiencing high latency, slow queries, or infrastructure locks due to high lead volume and heavy message loads.
What I Deliver:
Aggregation pipeline optimization for MongoDB across multi-million record collections.
Database indexing, schema restructuring, and caching strategies (Redis) to eliminate bottlenecks.
Refactoring monolithic backends into efficient microservices or micro-frontend architectures.
Core Stack: MongoDB, PostgreSQL, Node.js, Express, Redis, Docker, Microservices.
Key Outcome: Sub-second response times and zero database locking under heavy concurrent traffic.
Best For: Teams that have existing developers but need expert guidance on AI implementation, tech stack selection, or code audits.
What I Deliver:
System architecture blueprints for complex AI/Web apps before you write a single line of code.
Development team mentoring, task-level breakdown, and code quality validation.
Infrastructure cost optimization (reducing LLM token burn and cloud DB overhead).
Format: 1-on-1 Strategy Calls or Monthly Retainer.
Key Outcome: Clear technical roadmaps that prevent expensive rewrite cycles.
Scope: Defined deliverables, clear milestone pricing, fixed deadline.
Best For: Rapid MVPs, specific RAG pipelines, DB query overhauls.
Scope: Ongoing weekly hours, system architecture, team mentoring.
Best For: Scale-ups needing senior tech leadership without full-time CTO cost.
Scope: 60-minute intensive diagnostic session via Zoom/Google Meet.
Best For: Instant tech stack validation, bottleneck troubleshooting, workflow design.
Book a 15-minute diagnostic call. We'll walk through your technical bottleneck or product roadmap and outline the exact architecture needed.