Headline

AI systems that pay for themselves — voice agents, automation, workflows for SMBs | Founder, Brokai Labs | India + USA

About

AI systems that pay for themselves. Engineer by training. Builder by instinct. 2x founder — one exit, one still running. Published at NeurIPS and ICDM workshops. Off the screen: F1, skydiving, anything that requires committing before you're ready. Before Brokai Labs: AI architect at Centific, building production systems for Amazon, Apple, and Microsoft. 6,000+ hours of audio processed weekly. Now I'm building Brokai Labs — AI systems that remove the manual work from business operations. 3 live. 2 in pipeline. → AI voice receptionist — service business, USA → Field ops SaaS — solar EPC company, India → Marketing automation — agri-food business, India Built by 3 people. Deployed in weeks. Separately, I'm deep in voice AI — not building a product yet, just running experiments. Trying to find where a voice interface genuinely beats typing. Some things do. Most don't. I post about what I'm building and what breaks. The clients, the stack, the numbers, the mistakes. If you're running a business with work that shouldn't be manual — I'm probably building something relevant. If you're building in India — follow along. Book 15 minutes. Tell me the process costing you the most time or leaking revenue. I'll tell you if we can automate it — before any proposal. → cal.com/nand-dave/discovery

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

cursor

elevenlabs

Work experience

Founder & AI Systems Architect at Brokai, Nov 2025 - Present · 11 mos, San Francisco Bay Area, Brokai Labs builds AI systems that remove the manual work from business operations. We don't sell tools. We sell finished systems — built, deployed, and proven in weeks, not quarters. Voice agents that answer the phone. Workflow engines that replace WhatsApp chaos. Marketing automation that runs without a marketing team. The model is deliberate: productized systems with industry-specific logic baked in, demo-first sales, and revenue from day one. No discovery deck. No 6-month pilots. We talk through the problem, build a working demo, then ship the real system. What we do → → Voice AI — 24/7 receptionists for service businesses. Books appointments, sends confirmations, transfers calls when needed. → Workflow automation — replaces WhatsApp and spreadsheet operations with a unified dashboard for vendors, projects, and customers. → Marketing automation — automated content generation (posters, videos, copy) for businesses that can't justify a full marketing team. → Custom AI integrations — for SMBs and operators who know what they need but not how to build it. Live deployments across India and the USA. Three active clients, two in pipeline. Built by a small team — engineers, not marketers. If you're running a business with work that shouldn't be manual, book 15 minutes: → cal.com/nand-dave/discovery

Founding AI Engineer at Oaklet, Sep 2025 - Oct 2025 · 2 mos, San Francisco Bay Area

AI Solution Architect at Centific, May 2024 - Aug 2025 · 1 yr 4 mos, Redmond, Washington, United States, · Built production AI infrastructure used by Big Tech companies like Amazon, Apple, and Microsoft etc. • Engineered a large-scale data pipeline processing 6000+ hours of audio weekly across 6+ locales, integrating Azure Blob Storage and Label Studio to reduce processing time by 70% and failure rates by 85%. • Integrated human-in-the-loop validation with Label Studio, achieving over 95% speaker identification accuracy while maintaining 99.5% pipeline uptime. • Built a multilingual deduplication system across 10+ languages (including right-to-left scripts and character-based languages), improving API text matching while reducing processing costs by 30%.

RSO Supervisor at Northeastern University, Feb 2023 - Dec 2023 · 11 mos, Working as a Supervisor at Northeastern Residential Security Office. * Managing 1000 Proctors working at 47 Residential Buildings for lockouts situations faced by all Residents. * Documenting all incidents via Dispatch logs through Excel sheets for all situations. * Using SharePoint for sharing all these documents. * Dispatching Northeastern University Police Department for safety and emergencies. * Ensure an ethnically diverse community of 11000 Student Residents staying in buildings.

Data Scientist at 7-Eleven, Jun 2022 - Dec 2022 · 7 mos, Remote, • Refined ETL pipelines using PySpark for cost-effective processing, improving data accuracy by 18% and efficiency by 30% across 10+ data sources. • Optimized big data workflows with PySpark and SQL queries for operational KPIs, reducing runtimes by 23.7%. • Automated clustering of 1,000+ promotional offers with 98.2% accuracy, saving over 1,000 manual hours annually.

RSO Proctor at Northeastern University, Oct 2021 - Feb 2023 · 1 yr 5 mos, Boston, Massachusetts, United States

Education

Master's degree, Engineering management, Northeastern University

Bachelor of Engineering - BE, Mechanical Engineering, PES University