Capabilities
Grouped by the problem each one solves, not the tools it uses.
Applied AI & RAG Systems
You have proprietary data, tickets, documents, or customer chats, but no reliable way to turn them into automated decisions without hallucinations or high latency.
- Enterprise RAG pipelines (ingesting 10,000+ tickets/records with incremental delta sync)
- Agentic workflows & multi-agent systems (CrewAI, Eliza OS, custom orchestration)
- Domain fine-tuning (LoRA, PEFT, SFT) & small model inference optimization
- PaddleOCR, document parsing, and voice/multilingual synthesis (Sarvam AI)
Full-Stack Web & FinTech Platforms
The prototype runs locally, but requires production-grade architecture: real-time updates, B2B payment reconciliation, sub-200ms latency, and high uptime.
- Next.js, React & React Native application frontends
- Nest.js, Node.js, FastAPI & Flask high-concurrency microservices
- PostgreSQL, MongoDB, Supabase, Redis server-side caching & Vector DBs
- Cloudflare Workers serverless edge deployments & Socket.IO real-time channels
Workflow Automation & Ingestion Pipelines
Teams spend dozens of hours weekly on manual triage, email replies, and data sync across fragmented platforms.
- Cron-scheduled fault-tolerant ETL and data ingestion pipelines
- End-to-end email and CRM automation (Microsoft Graph API, JIRA, Sanity CMS)
- GitLab CI/CD & GitHub Actions automated testing and deployment pipelines
- Internal operational dashboards with sub-second response times
100% SEO, AEO & Performance Auditing
Web applications suffer from low discoverability, slow Web Vitals, and zero citation visibility on modern AI answer engines like ChatGPT and Perplexity.
- 100% Lighthouse performance, accessibility, and SEO scoring
- AEO (Answer Engine Optimization) & schema.org JSON-LD semantic architecture
- Next.js Turbopack, SSR, SSG, and edge CDN caching optimizations
- Comprehensive site auditing, robots.txt, dynamic sitemaps, and llms.txt integration
Discover
Scope the actual constraint, budget, deadline, data, before proposing a solution.
Design
Architecture decisions on paper, so the build doesn't stall on a decision that should've been made first.
Prototype
A working version fast enough to test the idea against reality, not the spec.
Ship
Deployed, monitored, and handed off, not a zip file.
Iterate
Real usage surfaces the next real problem. Fix that one.