Ronak Dangar

Home

Jack of Clubs

Jack of Clubs

Tech

Built the software the business runs on.

Six months as founding engineer: twelve projects shipped and live, taking a Telegram-and-Excel operation across twenty collection centres onto software built for it.

Hands played

  • Bullion

    ₹125 Cr+ a year

    The procurement system of record, from the collection centre to the farmer's bank: purchase orders, inwards with farmer KYC, an immutable stock ledger, push notifications at every step. Farmer payment that took days now clears the same day.

    Bullion: one purchase inward with farmer KYC, grade, weight and approval
    One inward: identity, land record, grade, weight, approval
    Bullion web: the daily inwards table across centres
    Every centre's day on one screen
  • Bull Connect

    Every farmer, remembered

    An in-house farmer CRM that replaced a paid tool, built around how the business sells: every call logged, each farmer's stock, last offer and expected price on record, so the telecaller rings the moment the market hits his price.

    Bull Connect: a farmer record with crop, quantity and follow-up date
    A farmer record as the calling team sees it
  • Bull Compass

    Every castor village, mapped

    A live map of castor area and trade volume across 22 APMC territories, built by matching nine lakh hectares of government crop data to village polygons. It decides where the next centre opens.

    Bull Compass: castor area by village
    Where the crop is
    Bull Compass: where Bull already trades
    Where Bull already trades
  • Bull Logistic

    One record per truck

    Every truck from centre to factory as one record: driver and vehicle papers, multi-stop pickups, weighbridge photos and weight reconciliation at the factory, push notifications at every stage.

    Bull Logistic: one trip through six states
    One trip, six states
  • KOSHI's poster engine

    Reads the pack, draws the poster, checks its own work

    The Python engine behind KOSHI's posters: it reads a product pack, plans the Gujarati text, draws the card with an image model, reads the result back with OCR and repairs what is wrong. Nothing leaves unverified.

  • The AI lead pipeline

    Hundreds of leads a day

    Field supervisors write one Gujarati line in Telegram; Gemini turns it into a structured lead and pushes it to the CRM. No data entry for ninety supervisors across twenty centres.

  • The data groundwork

    The master data under everything

    Eighteen and a half thousand Gujarat villages scraped from the state land-records portal as the reference for every project; eighty-nine thousand farmer records audited; an offline app so supervisors can capture leads from villages with no signal.

  • BISAG-N, summer 2025

    A farmer assistant on a CPU

    Fine-tuned Llama 3.1 8B on 2.5 million Kisan Call Centre records into an assistant that answers farmers in Indian languages in under three seconds on an 8 GB machine with no GPU.

  • Reliance Jamnagar, summer 2024

    Nine sites on one screen

    A server-health dashboard across nine manufacturing sites, SQL automation for the data behind it, and a model forecasting gasifier plant life.