Umer Farooq

Umer Farooq

AI Engineer | Full Stack Architect | Salesforce & Enterprise Solutions

Senior AI Engineer and Full Stack Developer with 7+ years of experience building enterprise AI solutions, intelligent automation systems, cloud applications, ETL pipelines, analytics platforms, and Salesforce enterprise systems. Experienced in LLMs, RAG pipelines, LangChain, LangGraph, conversational AI, voice automation, Next.js, NestJS, Python, PostgreSQL, AWS, Azure, GCP, data engineering, and enterprise integrations.

AI Agents RAG Systems Voice AI Next.js NestJS Salesforce AWS / Azure / GCP ETL & Data Engineering

Sales Positioning

Sell As

  • AI Engineer
  • Full Stack Architect
  • Salesforce Consultant
  • Data Engineering Lead
  • Cloud Integration Engineer
  • Automation Consultant

Client Problems Solved

  • Manual customer support workload
  • Disconnected CRM and data systems
  • Need for chatbot, voice AI, or RAG solution
  • Slow reporting and scattered data
  • Legacy Salesforce processes
  • Need for scalable SaaS products and dashboards

Typical Deliverables

  • AI chatbot or AI agent
  • RAG application
  • Voice AI assistant
  • Salesforce automation
  • Full-stack SaaS application
  • ETL pipeline and analytics dashboard

Core Capability Matrix

AI / LLM

  • LLMs and conversational AI
  • RAG pipelines and grounding
  • LangChain and LangGraph
  • AI agents and workflow automation
  • Prompt engineering and LLMOps
  • Voice AI, STT, and TTS
  • NLP, recommendation systems, PyTorch

Full Stack

  • Next.js, React, TypeScript
  • NestJS and Python Flask APIs
  • REST APIs and Swagger/OpenAPI
  • PostgreSQL, Prisma, SQL Server
  • Redis, Bull queues, background jobs
  • Dockerized deployment
  • Dashboards, admin portals, SaaS apps

Salesforce / CRM

  • Salesforce Sales Cloud and Service Cloud
  • Experience Cloud portals
  • Lightning Web Components and Apex
  • Case automation and CRM workflows
  • Data migration and ETL
  • SharePoint and DocuSign integration
  • Dell Boomi middleware integration

Data / Cloud / Ops

  • AWS Lambda, App Runner, S3, ECR
  • Azure OpenAI and Azure AI Search concepts
  • Google Cloud and BigQuery
  • ETL pipelines and data warehouses
  • Tableau, Metabase, Qlik
  • SonarQube and New Relic
  • Structured logging and runbooks

Key Proof Points

7+ Years
Enterprise AI, CRM, full-stack, data, and cloud delivery experience
10+
Salesforce certifications including Application Architect
50% → 89%
Recommendation engine accuracy improvement using deep learning
60+ APIs
Integrated into enterprise ETL and analytics platforms

AI & LLM Project Portfolio

AI Voice Assistant with Salesforce

Python, Flask, Twilio, Groq, Whisper, LLM, TTS, REST API, Salesforce Service Cloud

Voice-enabled AI support system that automates inbound customer calls, speech processing, conversational reasoning, and Salesforce case workflows.

  • Built Flask webhook service for inbound calls and multi-turn voice flows.
  • Integrated speech-to-text, LLM reasoning, and text-to-speech.
  • Created Salesforce support cases from call context and retrieved case details on demand.
  • Added fallback handling, reconnection logic, structured logging, tracing, and runbooks.

Banking AI Virtual Assistant

Python, Flask, Groq LLM API, NLP, STT/TTS, Docker, AWS App Runner, Amazon S3, Salesforce

Multilingual banking assistant exposed as REST APIs for chat, voice, intent-based workflows, CRM case actions, and cloud-ready deployment.

  • Implemented conversation, messaging, voice, health, and readiness APIs.
  • Built LLM-driven intent classification aligned to configurable intent catalogs.
  • Added English, Urdu, and Roman Urdu support with language-aware behavior.
  • Packaged with Docker and documented AWS deployment path and S3 logging.

Recommendation Engine Enhancement

Python, PyTorch, NLP, AWS Lambda, Docker, REST API, Salesforce Sales Cloud

Machine learning recommendation system designed to improve candidate-job matching quality for a recruiting platform.

  • Replaced traditional fuzzy matching with deep learning classification models.
  • Prepared recruiter-validated datasets with cleaning, normalization, and class balancing.
  • Trained BiLSTM and TextCNN models using GloVe embeddings.
  • Improved recommendation accuracy from approximately 50% to 89%.

Computer Vision / Video Intelligence

Python, PyTorch, YOLO, OpenCV, Docker, AWS

AI computer vision system for real-time image classification and object detection in railway coach imagery.

  • Created image classification and object detection models using YOLO.
  • Prepared training and evaluation datasets manually.
  • Used object detection to identify relevant regions before classification.
  • Packaged and deployed the model using Docker on AWS.

Full Stack, SaaS, Data Engineering & Analytics

Enterprise Strategy & Execution Platform

Next.js, React, NestJS, TypeScript, PostgreSQL, Prisma, Redis, Bull, Docker, Swagger, Metabase

Cloud-hosted enterprise platform for capabilities, process flows, goals, KPIs, roadmaps, journeys, policies, teams, change requests, data glossary, lineage, and analytics.

  • Owned features across Next.js pages, auth flows, dashboards, and React Flow diagrams.
  • Designed NestJS REST APIs with DTO validation, JWT auth, Swagger docs, and Prisma migrations.
  • Built Redis/Bull asynchronous processing with dedicated worker services.
  • Implemented workflow modules, governance screens, lineage views, admin tools, and analytics embedding.

Real Estate Data Warehouse & Analytics

Python, Flask, Google Cloud, BigQuery, PostgreSQL, JavaScript, Social APIs, Einstein Analytics

End-to-end data warehouse and analytics platform for real estate data consolidation, reporting, and social media analytics.

  • Built Python ETL pipelines combining 60+ APIs and dynamic file sources.
  • Used BigQuery as the data warehouse and PostgreSQL for metadata.
  • Built Flask UI/backend for dynamic data interaction and updates.
  • Integrated Facebook, Twitter, and LinkedIn APIs for engagement analytics.

Hotel Management Analytics Integration

Qlik, Einstein Analytics, GCP, BigQuery, PostgreSQL, Python Flask, JavaScript

Centralized data warehouse and analytics platform for a multi-hotel management company.

  • Implemented Salesforce Einstein Analytics as the BI layer.
  • Developed Python ETL pipelines to combine multiple APIs and data sources.
  • Built Flask UI with custom JavaScript for data creation and update workflows.
  • Supported large-scale querying and analytics requirements.

Monitoring, Quality & Dashboards

SonarQube, New Relic, Metabase, Swagger, Structured Logs, Docker

Operational engineering experience across code quality, observability, dashboards, API documentation, and deployment readiness.

  • Used SonarQube for code quality and static analysis contexts.
  • Used New Relic/APM and structured logs for observability patterns.
  • Worked with Metabase embedding and analytics dashboards.
  • Implemented health/readiness patterns and error traceability for cloud apps.

Salesforce & Enterprise Integration Portfolio

Licensing / Non-Profit Salesforce Platform

Salesforce Experience Cloud, Service Cloud, Python, Dell Boomi, SharePoint, DocuSign, SQL Server, Fonteva AMS

Enterprise platform supporting licensing workflows, registrations, exam schedules, results, credentialing, and member services.

  • Delivered Sales/Community Cloud configuration and custom LWC/Apex development.
  • Built Python ETL pipeline migrating 90+ SQL Server tables into Salesforce.
  • Implemented near-real-time two-way integration using Dell Boomi.
  • Integrated SharePoint as document database and supported DocuSign workflows.

Quotes and Sales Project

Salesforce Sales Cloud, Python, REST/SOAP APIs, Unmanaged Package, LWC

Integrated sales and quote platform using Salesforce and external CPQ-style systems.

  • Led a team of up to five developers.
  • Owned solution design and architecture for sales and quote processes.
  • Built real-time integrations between Salesforce and external systems.
  • Created unmanaged package for product-style delivery.

Risk Management System

Salesforce Experience Cloud, Sales Cloud, LWC, Apex, REST API

Salesforce backend and portal solution for enterprise risk management in regulated environments.

  • Provided guidance to a team of up to four developers.
  • Supported Experience Cloud configuration and solution design.
  • Led architecture and backend development for web/mobile frontends.
  • Built secure Salesforce APIs for mobile application consumption.

Analytics and Support Project

Salesforce Sales/Service/Experience Cloud, Tableau CRM, Apex, Python, AppExchange, Connected App

Salesforce analytics, support automation, and integration project involving merged organizations.

  • Implemented Tableau CRM / Einstein Analytics for organization-wide BI.
  • Configured Email-to-Case, Web-to-Case, revenue scheduling, and Salesforce automation.
  • Built Salesforce data integrations using Python.
  • Produced client documentation covering business cycle and analytics usage.

Detailed Service Catalogue

AI & Automation

  • AI chatbot development
  • AI agent workflows
  • RAG architecture
  • LLM integration
  • Voice AI automation
  • Intent classification
  • Prompt versioning
  • Conversation logging
  • Escalation flows
  • AI QA/testing

Full Stack / SaaS

  • Next.js apps
  • NestJS APIs
  • Python APIs
  • Admin portals
  • SaaS dashboards
  • JWT auth
  • Swagger docs
  • Redis jobs
  • Docker deployment
  • API integration

Salesforce

  • LWC development
  • Apex development
  • Experience Cloud
  • Service Cloud
  • Sales Cloud
  • Case workflows
  • CRM automation
  • Data migration
  • SharePoint/DocuSign
  • Dell Boomi

Data / Cloud / Ops

  • ETL pipelines
  • Data warehouses
  • BigQuery
  • PostgreSQL
  • Metabase
  • Tableau
  • AWS deployment
  • Azure AI
  • New Relic monitoring
  • SonarQube quality

Best-Fit Engagements

For Startups

MVP build, AI chatbot, SaaS dashboard, backend APIs, cloud deployment, and automation workflows.

For Enterprises

AI transformation, internal knowledge bot, workflow systems, observability, API integration, and enterprise platform modules.

For Salesforce Clients

Salesforce customization, Experience Cloud portals, case automation, data migration, LWC/Apex work, and CRM integrations.

For Data / AI Teams

RAG proof-of-concepts, ETL pipelines, data warehouses, analytics dashboards, LLM orchestration, and data quality cleanup.

Industries & Use Cases

Banking and financial services • Healthcare and non-profit platforms • Real estate and analytics • Enterprise SaaS • CRM and Salesforce automation • Customer support automation • Data engineering and BI • Voice AI and call automation • Workflow and approval systems • AI-enabled internal tools • Document automation • Reporting and executive dashboards