Engineering portfolio
Each story below covers the challenge, the workflow we designed, the roles it serves, and the stack behind it — described without exposing client data, infrastructure names, or confidential material.
8
Documented project stories
8
Distinct operational domains
4
AI and computer-vision systems
100%
Deployed to client-owned cloud
Ordered by domain rather than date. If one of these is close to the problem you are solving, that is the useful place to start a conversation.
Corporate compliance + AI governance
A full-stack platform for Indian companies and compliance professionals to manage entities, statutory deadlines, filings, governance documents, meetings, and secure collaboration.
Document automation + WhatsApp campaigns
A role-based SaaS application for turning recipient data into personalized PDF or image documents and delivering immediate, scheduled, or reminder campaigns through WhatsApp sessions.
AI + human-in-the-loop operations
A role-based transcription operation supporting AI-only, human-only, and AI-assisted delivery, from audio ingestion to a validated, formatted Word document.
Event communication automation
An event communication system that imports guest lists, personalizes media invitations, schedules reminders, tracks attendance, and answers RSVP questions through an AI assistant.
Digital commerce engineering
A performance-focused commerce website designed for product discovery, reliable order handling, inventory operations, paid acquisition, and long-term scale.
Power BI + funding analytics
A privacy-safe Power BI case study showing how complex funding data was turned into clear views of allocations, program activity, utilization, trends, and reporting status.
Computer vision + AWS cloud
An asynchronous AWS computer-vision pipeline that processes warehouse image missions, detects barcodes, text, licence plates, and bin boundaries, then reconciles the results with inventory records.
OCR + decision intelligence
A traceable Python engine that rebuilds fragmented OCR output, corrects common misreads, searches inventory for candidates, scores ambiguity, and flags items photographed in the wrong bin.
Start with the problem
Tell us what your team does manually today. We will point to the closest experience and suggest a practical first phase.