AI Engineer with 4+ years in Generative AI & Machine Learning
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Artificial intelligence Engineer with expertise in developing and deploying ML solutions to solve real-world problems. Proficient in building and fine-tuning machine learning models, leveraging a strong foundation in statistics and programming. Skilled in Python, TensorFlow, and scikit-learn. Experienced in collaborating with cross-functional teams to deliver impactful AI-driven solutions.
COMSATS University
Bachelor in Software Engineering · Software Engineering
January 1, 2016 – January 1, 2020
MWAN Mobile
Senior AI/ML Engineer
September 1, 2025 – Present
Pakistan
Cplus Soft
AI/ML Developer
December 1, 2023 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Ikonic
AI Developer
January 1, 2023 – November 1, 2023
Islamabad, Islamabad Capital Territory, Pakistan
Cube Healthcare PVT
Junior Data Scientist
October 1, 2021 – December 1, 2022
Abbottabad, Khyber Pakhtunkhwa, Pakistan
Agentic RAG Knowledge System For Healthcare
June 24, 2026 – Present
Designed and implemented agentic RAG system for medical knowledge retrieval using LangChain and Pinecone. Built automated AI workflow to streamline data processing pipelines. Developed custom AI agents for continuous health monitoring and alert systems. Technologies: AWS, LangChain, Vector Databases.
AI Floor Planning System
June 24, 2026 – Present
Developed a chatbot that converts PDF files to text for information retrieval. Created system to store document content in vector databases using embeddings. Implemented query processing to provide answers to specific questions. Leveraged advanced AI technologies from LangChain and OpenAI. Enabled real-time document queries within predefined contextual boundaries. Technologies: LangChain, Vector Databases, AWS, PypdfLoader.
WhatsApp Chatbot for Parenting
June 24, 2026 – Present
Created a WhatsApp-based chatbot providing real-time guidance for children. Implemented information retrieval system for locations like parks and hotels. Integrated real-time internet search capabilities for up-to-date information. Leveraged LangChain and OpenAI technologies for natural language processing. Designed personalized response system based on user queries and preferences. Technologies: AWS, LangChain, Vector Databases, OpenAI.
Multi-Agent Document Processing System
June 24, 2026 – Present
Developed system of specialized AI agents for document intake, classification, and data extraction. Implemented agent communication and orchestration framework. Created specialized agents for different document types and processing tasks. Achieved 92% accuracy in complex document processing tasks. Technologies: LangGraph, OpenAI, LlamaIndex, Python, Docker.
Custom Chatbot for Tax Research
June 24, 2026 – Present
Built a conversational AI system that extracts and answers questions from PDF documents. Implemented the LangChain framework with OpenAI embeddings and Chroma vector store. Developed text processing pipeline using PyPDFLoader for optimal document handling. Created embeddings for text chunks stored in Chroma database for semantic retrieval. Designed a conversational interface powered by OpenAI's GPT-4 model. Enabled contextually relevant interactions through a command-line interface. Technologies: LangChain, OpenAI GPT-4, Chroma, PyPDFLoader, Python.
AI-Powered Job Matching Platform
June 24, 2026 – Present
Built intelligent resume-to-job matching system using hybrid vector search (dense + sparse BM25) with multi-factor similarity scoring. Implemented resume parsing pipeline with LLM extraction and NLP-based skill detection supporting PDF and DOCX formats. Designed embedding architecture using Sentence Transformers with Qdrant vector database for semantic search and domain-aware filtering. Developed automated professional domain detection using keyword and embedding cosine similarity across 20+ domains. Built async bulk resume processing with Celery workers and integrated interview scheduling module. Developed AI video interview module with real-time speech-to-text using Deepgram and AI voice synthesis using Gemini Live API for automated candidate screening. Implemented AI-driven question generation and answer scoring using Gemini with multi-criteria evaluation based on CV and job description. Built real-time cheating detection using MediaPipe face tracking for gaze monitoring, multi-face detection, and tab-switch tracking. Technologies: Python, FastAPI, Qdrant, Sentence Transformers, OpenAI GPT, spaCy, Celery, MongoDB, Redis, Docker, React, TypeScript, Gemini AI, Deepgram, MediaPipe, WebSocket.
AI Voice Calling Agent System
June 24, 2026 – Present
Developed end-to-end AI calling agent with real-time voice conversation capabilities. Integrated Whisper speech-to-text for accurate voice recognition and transcription. Implemented GPT-4 for intelligent conversation processing and response generation. Deployed ElevenLabs text-to-speech for natural-sounding voice synthesis. Built seamless audio pipeline enabling human-like telephone interactions. Technologies: OpenAI Whisper, GPT-4, ElevenLabs, Python, Audio Processing, Twilio.
Crops Disease Detection
June 24, 2026 – Present
Executed complete machine learning workflow for agricultural disease identification. Managed data collection, gathering, and annotation processes. Trained multiple models for disease classification and detection. Conducted accuracy evaluation across different model architectures. Performed comparative testing of results to identify optimal solutions. Technologies: CNN, VGG16, MySQL db, Tensorlite, Annotation.
Agoracom Multi-Agent AI Platform
June 24, 2026 – Present
Built multi-agent orchestration system with 7 specialized AI agents (News Broadcaster, Moderator, Analyst, Cross-Pollinator, Devil's Advocate) for automated financial community management. Integrated Google Drive webhooks with Qdrant vector database for real-time document ingestion, semantic search, and RAG-based knowledge retrieval. Developed tier-based event selection system with weighted probability for intelligent content prioritization across multiple companies. Implemented multi-platform automation for Twitter (multi-account), Discord, and Telegram with compliance-enforced content generation. Technologies: TypeScript, ElizaOS, OpenAI GPT-4, Qdrant, Google Drive API, Twitter API, Redis, PostgreSQL, Express, Docker.
Robo Advisory Platform
June 24, 2026 – Present
Developed a financial forecasting and investment portfolio allocation platform. Utilized advanced machine learning techniques with historical and real-time data. Implemented Artificial Neural Networks (ANN) to predict ETF performances. Created data cleaning methodologies and MinMax scaling for normalization. Developed LSTM models for sequential prediction of financial data. Designed an innovative portfolio allocation model that adjusts weights based on predictive analytics. Optimized the system for tailored, strategic investment decisions. Technologies: Pandas, LSTM, RNN, NumPy, Matplotlib, Seaborn, AWS.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from financial platforms to healthcare and job matching, indicates a broad interest in applying AI across various domains. Their experience with multi-agent systems and complex integrations suggests a collaborative mindset. The continuous learning and application of emerging AI trends (Generative AI, LLMs, RAG) align with a culture of innovation and continuous improvement. The candidate's experience in full-stack AI development, from research to deployment, shows a holistic approach to problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and critical thinking skills through complex project implementations. Their experience in multi-agent systems and orchestration suggests good teamwork and communication capabilities, essential for integrating diverse AI components and collaborating with cross-functional teams. The breadth of projects indicates adaptability and a proactive approach to learning new technologies.