Get to know me
About Me
Building intelligent AI systems and NLP solutions for real-world challenges
Background
Artificial Intelligence Engineer specializing in production grade RAG architectures, multilingual backend development, and agentic workflows. Proven track record of architecting scalable SaaS platforms, automated crisis management infrastructure, and high precision NLP pipelines. Expert in building high throughput asynchronous APIs and integrating advanced computer vision and LLM modules. Dedicated to developing reliable, secure, and zero hallucination AI solutions for real world operations.
Expertise
NLP & Large Language Models (LLMs)
Retrieval Augmented Generation (RAG)
Machine Learning & Deep Learning
Model Deployment & MLOps
Core Competencies
What I work with
Skills & Expertise
Technical skills across machine learning, software development, and cloud infrastructure
Core AI/ML
Languages & Frameworks
Specialized Techniques
Tools & Platforms
Data & Analysis
Certifications Focus
My journey
Experience & Education
Engineering roles, real-world AI implementations, and academic background in Artificial Intelligence.
Work Experience
Engineering roles and intern positions
AI Engineering Intern
Siber Koza Alpha (NASTP)
Led the engineering team developing privacy-preserving AI frameworks and cryptographic security solutions within the Siberkoza innovation hub.
Led the engineering team as Team Lead, developing privacy-preserving AI frameworks and cryptographic security solutions within the Siberkoza innovation hub.
Architected CrisisManager, a SaaS grade disaster response and emergency logistics platform integrating real-time geospatial tracking (PostGIS), Redis-backed task queues, and containerized Docker infrastructure.
Spearheaded AI-powered emergency features, including computer vision damage assessment, an LLM-driven Emergency Command Copilot for decision support, and automated proximity-based rescue dispatch engines.
AI Backend Engineer (Intern)
SafeX Solutions
Engineered production grade multilingual RAG architectures, stateful lead capture state machines, and automated agent handover mechanisms.
Multilingual RAG Architectures: Built production grade RAG pipelines using FastAPI, ChromaDB, BM25, and Cross-Encoder Reranking to process multilingual customer inquiries (English, Urdu, Roman Urdu) with high precision.
Lead Capture and CRM Automation: Engineered stateful conversational workflows and input-validation logic to capture user leads and automatically sync deduplicated data into SQL databases.
Safety Guardrails and Agent Handovers: Designed confidence-score gating mechanisms and automated escalation logic to eliminate hallucinations and seamlessly route complex queries to live human agents.
AI/ML Project Developer
Self-Directed Learning
Developing innovative NLP and machine learning projects focused on real-world applications and intelligent systems.
Built multiple production-ready AI applications
Specialized in NLP and LLM-based solutions
Implemented RAG systems for enhanced context-aware responses
Academic Education
Degrees and academic qualifications
Bachelor of Science in Artificial Intelligence
Air University
Currently pursuing specialized degree in AI with focus on machine learning, deep learning, NLP, and advanced AI applications.
Strong foundation in AI/ML algorithms and software architecture
Practical experience building and deploying end-to-end AI applications
Completed multiple professional certifications in Deep Learning & LLM Systems
Intermediate in Computer Science (ICS)
F.G. Sir Syed College
Foundational computer science education with programming basics and problem-solving skills.
Developed core programming fundamentals in C++/Python
Mastered problem-solving, mathematics, and algorithm design
Foundation in data structures and computer logic
What I've built
Featured Projects
Production grade AI systems, RAG pipelines, and machine learning solutions engineered for real world impact.
CrisisManager: AI-Ready Disaster & Emergency Management Platform
A SaaS grade disaster and emergency management platform built for government agencies (NDMA/FEMA) featuring an AI-first backend, computer vision damage assessment, and an LLM-driven DisasterCopilot.
✨ Key Features
AI-first backend built with FastAPI & Async SQLAlchemy for NDMA/FEMA emergency management
Computer vision damage assessment model cutting verification time from 45 minutes to 3 seconds
LLM-driven DisasterCopilot for real-time tactical decision support and command assistance
SafeX AutoReply: Multilingual WhatsApp AI Assistant
A production grade multilingual WhatsApp AI assistant that automates customer support, retrieves accurate FAQ answers using Hybrid RAG, captures sales leads through a stateful conversation flow, and escalates complex queries to human agents.
✨ Key Features
Multilingual support: English, Urdu & Roman Urdu
Hybrid RAG with Dense Search + BM25 & Reciprocal Rank Fusion (RRF)
Cross-Encoder reranking & confidence-based answer validation
SafeX FAQ Assistant: Production-Grade RAG Chatbot
An advanced website FAQ assistant built with Hybrid RAG, semantic caching, query rewriting, reranking, and confidence-based guardrails to deliver grounded answers while rejecting out-of-scope questions.
✨ Key Features
Automated website crawling and indexing (BeautifulSoup, Robots.txt-aware)
Heading-aware recursive chunking & section metadata
Semantic similarity cache using Redis
Zameen.com AI Customer Support Chatbot
An enterprise-style AI customer support chatbot for real estate queries, combining exact-match rules, semantic vector search, grounded LLM responses, and multi-condition safety guardrails for reliable automated support.
✨ Key Features
Exact-match rule engine for frequent FAQs
Semantic vector search for paraphrased queries (ChromaDB + Sentence-Transformers)
Mistral-powered contextual responses strictly grounded in context
AI CRM Campaign Manager Chatbot
AI-powered CRM chatbot that answers natural-language queries over structured bank campaign data, delivering accurate insights and CRM-style automation using FastAPI and Supabase.
✨ Key Features
Natural language query execution over SQL/Supabase CRM data
Real-time analytics and reporting interface
FastAPI REST backend with automated deployment pipelines
AI Video Violence Detection System
Lightweight spatio-temporal surveillance model that classifies CCTV clips as Normal, Violence, or Weaponized Activity using MobileNetV2 features and a BiLSTM temporal head for real-time inference.
✨ Key Features
Multi-class threat detection (Normal, Violence, Weaponized)
Spatio-temporal feature modeling (MobileNetV2 + BiLSTM)
Real-time stream evaluation and automated alerting
Semantic Book Recommender
NLP-powered book recommendation system utilizing semantic similarity to enhance user book discovery experience.
✨ Key Features
Semantic vector embedding search
Interactive Gradio web demonstration
Contextual similarity score ranking
TedPal: TED Talks Chatbot
RAG-based chatbot providing instant TED Talk summaries, eliminating manual searching and boosting learning efficiency.
✨ Key Features
Pinecone vector store retrieval
LangChain RAG pipeline
Streamlit / FastAPI user interface
Log Classification System
Real-time log analysis system using hybrid machine learning approach with advanced contextual understanding.
✨ Key Features
Hybrid classification pipeline (ML + LLM)
Real-time stream logging and REST API
Interactive Streamlit dashboard
Credentials
Certifications
Professional credentials and completed specializations
Deep Learning Specialization
DeepLearning.AI
Aug 2025
✓ VerifiedDeveloping LLM Applications with LangChain
DataCamp
Sep 2025
✓ VerifiedRetrieval Augmented Generation (RAG) with LangChain
DataCamp
Sep 2025
✓ VerifiedIntermediate Deep Learning with PyTorch
DataCamp
Nov 2025
✓ VerifiedDesigning Agentic Systems with LangChain
DataCamp
Nov 2025
✓ VerifiedContinuous Learning
Committed to staying current with the latest developments in AI and machine learning. Actively participating in online courses, workshops, and conferences.
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