pro
Noman Jalal
Experienced full stack engineer with 10+ years of experience
New to Contra
Noman is ready for their next project!
AI Sales Intelligence & Workflow Automation Platform
Blitzday AI is an AI powered sales enablement platform built to help B2B sales teams improve performance, reduce manual work and make faster data driven decisions.
The platform combines AI analytics, conversational intelligence, workflow automation and real time sales insights to help teams better understand customer conversations and sales performance. It was designed to analyze sales calls, surface actionable insights, track pipeline activity and support sales reps with contextual recommendations during customer interactions.
I worked on the AI workflow architecture, backend systems, automation pipelines, API integrations and scalable infrastructure used across the platform. The system included AI powered call analysis, sales insight generation, operational dashboards, workflow orchestration and intelligent automation pipelines designed to streamline day to day sales operations.
The platform also supported real time sales guidance, transcript analysis, sentiment tracking, pipeline analytics and automated reporting workflows. The goal was to reduce repetitive administrative work while giving sales teams faster access to meaningful operational insights.
The infrastructure was designed for scalability, maintainability and production reliability with modern AI tooling, backend orchestration systems, cloud infrastructure and automation first architecture.
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AI Powered Planning & Knowledge Workflow Platform
PlanSpace is a modern AI powered platform focused on intelligent planning, contextual information handling and workflow organization. The system was designed to combine structured data workflows with AI assisted contextual processing to improve operational visibility and decision making.
I worked on backend architecture, AI workflow integration, retrieval systems, API orchestration and scalable infrastructure design. The platform leveraged modern AI patterns for contextual reasoning, semantic retrieval and intelligent workflow execution while maintaining production reliability and scalable system architecture.
The implementation included AI assisted processing pipelines, backend orchestration layers, vector based contextual retrieval, automation workflows and extensible infrastructure capable of supporting future AI native operational features. The focus was not only on rapid product delivery but also on long-term maintainability, modular architecture and scalable deployment practices.
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AI Powered SaaS Platform for Intelligent Business Workflow Execution
HiByron is an AI powered SaaS platform focused on streamlining business workflows through intelligent automation, conversational AI and AI assisted operational infrastructure.
The platform was designed using an AI first engineering workflow with tools like Claude Code, Cursor, and modern LLM infrastructure to accelerate development while maintaining production grade architecture and scalability.
I worked on architecting scalable backend systems, AI workflow orchestration, API integrations, and intelligent automation pipelines that allowed the platform to execute complex business operations efficiently. The system combined modern AI tooling with production focused engineering practices to support rapid iteration, maintainability and reliable deployment.
The architecture included AI driven workflow execution, backend orchestration layers, automation systems, contextual processing pipelines and scalable infrastructure designed for long term product evolution rather than short term MVP limitations.
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Production AI Voice Agent Infrastructure for Lead Qualification & Appointment Automation
Project Overview:
NextGenCalls is an AI powered voice automation platform designed to handle real business conversations through autonomous AI voice agents.
The system was built to automate lead qualification, appointment booking, customer interaction workflows and conversational support operations while maintaining natural real time communication.
Unlike traditional IVR systems or scripted bots, the platform uses conversational AI, contextual memory and workflow orchestration to manage dynamic interactions across inbound and outbound calls.
The infrastructure was designed for scalability, low latency voice streaming and reliable production deployment.
The Problem:
Businesses handling high volumes of customer calls often struggle with
missed leads due to delayed responses
expensive support operations
repetitive qualification workflows
inefficient appointment scheduling
inconsistent customer interactions
Traditional IVR systems create poor user experiences because they rely on rigid menu trees and cannot adapt dynamically during conversations.
The goal was to build an AI voice system capable of handling conversations naturally while executing operational workflows autonomously.
Technologies Used:
OpenAI GPT-4o
Claude
Vapi
Twilio
ElevenLabs
Whisper
Deepgram
FastAPI
Python
Node.js
PostgreSQL
Redis
n8n
Webhooks & APIs
Docker
AWS
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