Case studiesbuilt to last.
These are engineering write-ups: the architecture decisions, trade-offs, and performance numbers behind systems we built and run, mostly our own Prism products. For client work organized by who we built it for and what we shipped, see the portfolio.
Geofencing & Dwell-Time Verification for Field Sales Coverage
A GPS-based geofencing and dwell-time engine that tells a sales leader, for every assigned customer, every day, whether a field rep genuinely made the call, without relying on the rep's own word for it.
6
Distinct visit outcomes captured
<5 min
Minimum dwell time defining a real visit
2
Independent signals verified per visit
Building an Autonomous AI Pipeline for SEO-Driven Blog Content
An autonomous AI pipeline that researches SEO opportunities, writes and self-scores blog content, and hands a publish-ready draft to a human editor.
12
Automated pipeline stages
70/100
Minimum quality score to pass review
0
Manual keyword/topic research required
Building PrismAnalyst: A Privacy-First, Multi-Agent AI Analyst for Business Data
A conversational BI platform that lets business teams upload a spreadsheet and ask questions in plain English. Every answer is verified by a live SQL query, never guessed, and raw data never leaves the customer's environment.
3
Specialist agents behind one supervisor
2
Tools power every analysis (SQL + chart)
94
Automated tests covering safety, privacy, and routing
Building a Native WhatsApp Forms Engine on PrismWA
A visual builder and runtime for Meta's WhatsApp Flows - letting teams design multi-screen forms, power them with live data, and collect structured responses without a single Meta dashboard visit.
14
Drag-and-drop field types
3
Ways to power a screen with live data
0
Duplicate submissions, by design
PrismOCR: Deterministic Computer Vision for Label Extraction
A production-ready OCR engine that extracts structured product label data (GTIN, FSSAI, net weight, MRP, dates, and more) using barcode decoding and deterministic computer-vision rules, with validator-gated accuracy and zero data fabrication. There is no LLM involved: this is pure computer vision, running entirely offline with zero per-document API cost.
14
Structured fields extracted per label
0
Fields fabricated or guessed, by design
$0
Per-document OCR API cost
Building PrismBot: A Multi-Tenant, Multi-Agent Chat Architecture
A multi-tenant AI chatbot backend built with NestJS and TypeScript that utilizes LangGraph for a supervisor-specialist agent routing system, delivering real-time responses and autonomous CRM updates via WebSockets.
3-Stage
RAG pipeline with parallel query expansion
100%
Tenant isolation across vectors, KB, and CRM
2
Specialist agents (RAG Expert & CRM Sales)
AI-Powered Interview Orchestration Platform
A multi-agent AI system that conducts structured interviews autonomously — real-time video, adaptive questioning, and objective behavioral assessment at any scale.
0
Interviewer hours per screening
100%
Structured script adherence
5
Behavioral dimensions per candidate
WhatsApp Cloud API console: how we built PrismWA
A shared inbox and visual flow builder for WhatsApp Business teams — with real-time messaging, role-based access, idempotent webhook processing, and a no-code automation engine built on top of Meta's Cloud API.
12+
Flow node types
<10s
Webhook-to-inbox latency
0
Duplicate messages processed
Building a Real-Time Taxi Booking App with Live Maps
A React Native taxi booking app with live driver tracking on the map. Replacing 5-second polling with WebSockets cut location delay from 4-5 seconds to under one, and API traffic by roughly 70%.
<1s
Location delay
70%
Fewer API calls
25%
Battery savings
Building a Multilingual Voice AI Pipeline with Bhashini for Public Welfare Surveys
A real-time speech pipeline on Bhashini covering 14 Indian languages, running speech recognition, translation, and synthesis end to end in under two seconds.
<2s
Pipeline latency
14
Languages supported
0
Human translators needed
PrismLMS: AI-Powered Learning, End-to-End
An LMS that generates its own supporting material. Upload a chapter and get a quiz, flashcards, a mind map, and a summary back in under a minute, streamed as they finish.
~60s
Generation time
4
AI artifacts per chapter
5
Parallel LLM executions
PrismBot RAG Implementation
A production-grade, multi-tenant AI chatbot platform enabling organizations to deploy custom, context-aware assistants across web and WhatsApp channels.
<300ms
Vector search latency
4x
Retrieval relevance improvement
10
Parallel embedding lookups
Replacing Exotel with a Self-Hosted Voice AI Gateway — 60% Cost Reduction at 500K Calls/Day
A production-grade telephony gateway that bridges PSTN networks with AI voice applications, enabling a large social-impact foundation to cut per-minute call costs by 60% while handling half a million calls daily — with zero changes to existing AI application code.
60%
Cost reduction
500K
Calls/day capacity
<200ms
One-way audio latency
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