Summary
Founder of TathyaGrid.com (India's first agentic lawyer) and Full-Stack AI Engineer with deep expertise in RAG, serverless AI, vLLM, and MLOps. Led a team to secure a top 5 finalist spot for the Northern Arizona University Healthcare MBA AI sales funnel contract against multi-million dollar enterprise giants. Built KRAG, a serverless RAG platform that outperforms Google NotebookLM in PDF table/structure parsing. Proven track record: 90% RAG accuracy gains at alawyer.ai and solo operations for 500M+ follower brands at replient.ai (both executed through Buildway.ai), and building data-moat agentic systems trusted by 20+ B2B law firms with backing from NVIDIA, Google, and AWS.
Core Skills
- AI & RAG: Vercel AI SDK, MCP (Model Context Protocol), Vector DBs & Embeddings (BGE-M3), RAG Optimization & Citation, LangChain, vLLM & LLM Orchestration, Modal (Serverless GPU), Fine-tuning, Puppeteer (Automation).
- Frontend: React, Next.js 14+, TypeScript, Tailwind CSS, Recharts, Shadcn UI, Responsive & SSR.
- Backend: Node.js, tRPC, Prisma, PostgreSQL (Neon / Supabase), Redis, Better Auth, NextAuth, Zod.
- DevOps & Tools: Docker, Kubernetes, CI/CD (GitHub Actions), AWS, Modal (Serverless), Vercel, E2B (Sandboxing), Cloudflare Tunnel.
Professional Experience
- India's First Agentic Lawyer: Architecting and scaling India's first agentic AI lawyer platform with a custom legal data moat covering all Indian court data.
- Client Adoption: Trusted and utilized by 20+ B2B law firms across India.
- Partnerships & Backing: Backed by program benefits and infrastructure from NVIDIA, Google, and AWS.
- Company Building: Founding and leading SMAKG.com; defining product vision, technical strategy, and go-to-market.
- Product & Engineering: Driving development of flagship products (KRAG, The Informant) and core infrastructure.
- Client Development: Building client products under SMAKG (e.g. StealthNode, an AI-driven SOC platform).
- NAU AI Sales Funnel: Led a technical team and achieved selection as a top 5 finalist for the Northern Arizona University Healthcare MBA AI sales funnel custom development contract, competing against enterprise giants with millions in annual revenue.
Deployed as lead founding contractor to architect AI systems, core infrastructure, operations, and security across multiple live production startups:
alawyer.ai — Founding AI Engineer (Austria's Fastest-Growing Legal AI)
- AI Infrastructure & RAG Optimization: Engineered a multi-agent system with Dynamic Chain of Thought and Web Search tools using MCP. Improved RAG citation accuracy by 90% and data retrieval by 70% via complex vector DB logic and post-hoc processing.
- High-Velocity Engineering: Parsed complex Austrian legal APIs (big data seeding, complex joins) and reduced launch times by optimizing DB load and caching.
- Advanced Security & Infrastructure: Refactored tRPC infra for security (zip-bomb protection, E2B sandboxing). Implemented 100% secure Redis-backed pagination for MCP, boosting client agent accuracy by 90%.
- Critical Zero-Downtime Migration: Executed a high-stakes migration from NextAuth to Better Auth for a live production app, resulting in 0% downtime and zero data loss.
replient.ai — Founding Engineer & Operations Lead
- Solo Operations & Billing: Handled billing, DevOps, and all backend operations solo, supporting global brands and influencers with 500 million+ combined followers.
- Automation Pipelines & Webhooks: Built and optimized mission-critical, event-driven automation pipelines leveraging webhooks and serverless functions to automate high-throughput business workflows.
- AI-Driven Analytics & Dashboards: Designed and implemented deep AI-driven analytics dashboards featuring interactive charts and predictive intelligence for operations monitoring.
- High-Impact Delivery: Shipped a complete billing infrastructure and AI chat system with dynamic interactive charts (Vercel AI SDK, Recharts) in less than 2.5 weeks, ensuring 100% reliability under peak load.
Products launched
- Beats Google NotebookLM in PDF parsing and table extraction (March 2026). Architected the world's first serverless RAG agent: Next.js API plus Modal Python workers and Redis task queues. 40% lower cost than major parsers while preserving tables, structure, and formatting.
- Serverless GPUs scale to zero. No idle costs; scales by design. Multi-format ingestion (PDFs, web URLs) with 3 enterprise encryption levels, parent-child chunking, real-time status, and context-aware chat with citations.
- Florence-2 for image understanding and search. Custom models on Modal: Marker PDF, BGE-M3, MXBAI Reranker, Qwen 2.5 14B. All serverless with auto-scaling.
- Stack: Next.js 16, tRPC, Prisma, Redis, Supabase, Exa, Modal, vLLM, model hosting, MLOps.
- Developed custom, high-performance conversational AI concierges for enterprise e-commerce and retail brands, directly boosting sales conversions by guiding customers to products matching their preferences.
- Integrated real-time database queries, dynamic filtering, and LLM-based product reasoning to handle complex conversational queries with zero latency.
- Stack: Next.js, OpenAI API, TailwindCSS, vector search, streaming APIs.
- AI-powered Security Operations Center built by SMAKG for a client. Deploys via lightweight MCP + agent installer; logs stream to Wazuh; custom rulesets trigger an AI agent in isolated Modal sandbox connected via secure Cloudflare MCP tunnel.
- Agent detects and neutralizes threats in real time; delivers detailed incident reports. Stack: Modal, MCP, Wazuh, Cloudflare Tunnel, event-driven architecture.
- Custom fine-tuned SLM for CS students. [PROSE] explains concepts like a 1940s noir detective; [CODE] returns ready-to-use Python code.
- Serverless deployment on Modal; actively under development. Stack: Modal, Python, SLM, fine-tuning.
- Architected and launched a multi-tenant SaaS platform serving 50+ active users, featuring custom domain support (Vercel-style routing) and dynamic subdomains via Next.js Middleware.
- Integrated an AI Assistant to automate user support and enhance portfolio creation workflows.
- Implemented robust CI/CD pipelines using GitHub Actions for dev and prod branches, automating linting, testing, and builds to prevent regressions.
- Enforced end-to-end type safety using Zod across all API endpoints and database schemas.
Open Source Contributions
- Merged 8+ PRs in a single month, working alongside core senior developers on high-priority tickets and received direct mentorship.
- Contributed a significant portion to the new calendar-based Kanban feature, implementing complex frontend logic and interactions.
- Integrated Vitest for type-safe unit testing and resolved critical UI formatting bugs affecting thousands of users.
Freelance Experience
- Competitive Selection: Led a technical team and achieved selection as a top 5 finalist for the Northern Arizona University Healthcare MBA AI sales funnel custom development contract, successfully competing against established enterprise giants with millions in annual revenue.
- Engineering Quality: Architected the high-throughput sales funnel and agentic workflow demonstration, validating enterprise-grade quality and performance.
- Delivered a secure, containerized (Docker) web application using Next.js and MongoDB.
- Built a reusable UI component library and containerized the app to reduce deployment friction and ensure environment consistency.
Education
Bachelor of Science in Data Science, Indian Institute of Technology, Madras
Exp. Jan 2029
Certifications
Docker Certification – Docker, Inc.
2025
GitHub Actions Workshop: CI/CD Pipelines – Microsoft Press
2025