Engr. Ahmad Khalid

• Spearheaded the analysis of intricate healthcare insurance use cases.
• Collaborated with data analysts, employing robust SQL queries to architect and refine use cases on Big Data platform i.e. Impala & Hive.
• Led comprehensive EDA for various use cases using PySpark and Python, showcasing adeptness in uncovering insights and patterns in complex datasets.
• Engineered and deployed solutions for data clustering, focusing on optimization techniques. This effort significantly enhanced data processing efficiency and performance.
• Excelled in developing predictive models by innovating in feature engineering, model selection, and cross-validation processes, resulting in more accurate and reliable outcomes.
• Played a key role in the team by streamlining the productionization of model pipelines through SageMaker on AWS cloud, demonstrating expertise in deploying scalable and robust cloud-based data solutions.

Achievements

• Landed 5 Major Projects in Total and Brought business of around 265,000 USD per year

Responsibilities

• Lead team of Database Engineers, Frontend, Backend Developers, Machine Learning Researchers & DevOps Engineers.
• Coordinate and communication with Business Development, Content Writers, Technical Recruiters, and Management to streamline project requirements.
• Generate technical leads to bring huge profit for company.

Major Projects

1. Document Management System for US Properties

• Understood requirements of projects and coordinate effectively with client and developers.
• Used JIRA for scheduling tasks, epics and sprints.
• Designed SOTA Document Classification algorithm based upon Deep Learning solutions of Computer Vision and Natural Language Processing.
• Implemented API through REST Framework and integrated Django Backend with React Frontend.
• Deployed backend server on EC2 instance of AWS with SSL.
• Architected automated training and inference pipeline with AWS API Gateway and Lambda
• Designed inference pipelines of Large Language Model through Sagemaker and S3
• Did RnD on Vector Database with ChromaDB

2. AI Health Bot - Healthcare Chat Bot for Patients

• Gone through complete system architecture processes. Designed Database Entity relations and normalized them to avoid redundancy.
• Deployed complete website consisting of User sign-in, chat bot with natural sounding text-to-speech with Python Django, JavaScript & Bootstrap.
• Developed various queries to assist user.

3. Startup Maturity Scorecard

• Developed maturity assessment algorithm for startup.
• Built REST APIs through Django and deployed on Heroku Salesforce platform
• Brought lead, managed developers related to Frontend, UI/UX, DevOps and Backend engineering.

• Given responsibility of Effective API implementation for AI features in Python.
• Conducted research to test feasibility, design, operation and performance of equipment, components, and systems.

1. Automated AI Interview Bot

• Designed especially for Autistic people and Coded efficient Implemented full-stack software including POC (Proof of Concept), Database Design, Back-end Programming, AI Model deployments, Front-end designing and deployed into Production server.
• Currently developing propriety solution of AI based Avatar Video interview feature with Deep Video Synthesis AI model.

2. Time and Attendance App

• Deployed state-of-art Face Detection and Face Recognition.
• Deep Learning Transformer for efficient person recognition.
• Researched and Implemented Spoof Detection System on top of Face Recognition to avoid fake attendances.

3. Resume Analysis Bot

• Designed for recruiters who receive thousands of resumes after posting job vacancy. This application automate complete process of candidate's technical and soft skills analysis.
• Implemented both Backend with REST Framework and Frontend with Google Charts for informative visualization.
• Made propriety algorithm for company that can rank candidates based upon job description requirements.

Responsibilities

• Reviewed project goals and objectives on monthly basis with project manager and design team.
• Provided technical leadership for company to effectively steer strategic plans and future projects.
• Successfully completed more than 10 projects with complete client satisfaction.

Major Projects

1. Learning Management System (LMS) for Educational Institutes

• Designed Database of LMS with normalization rules for enhanced scalability.
• Implemented backend system with Django Forms and Template Models.
• Optimized CCTV camera streams for parallel processing using multithreading.
• Implemented runtime AI Face Recognition based Face Recognition for Attendance.

2. Encrypted RFID based Car Security System

• Synchronized two different implemented 256 bits Advanced Encryption Standard (AES) encryption algorithms for ESP-32 microcontroller and Computer.
• Implemented Frontend and Backend and worked on their integrations using REST Framework and Django framework.

3. Other Projects

• IoT based Air Monitoring System
• Automatic Milk Shop Machine with SMS Notification System
• Speech Recognition based RC Car Control System with Object Detection

Responsibilities

• Created customized applications to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms.
• Prototyped machine learning applications and quickly determined application viability.
• Established open and professional relationships with team members to achieve quick resolutions for various issues.

Major Projects

1. Wireless Head controlled Wheelchair for Disabled People

• Planned, Designed and Implemented Medical Technology based project with complete client satisfaction.
• Integrated hardware with firmware program. Fine tuned hardware response.
• Configured several kind of hardware and wrote configuration libraries in C++

2. Driver's Face Recognition and Drowsiness Detection System

• Conducted research to test and analyze feasibility, design, operation and performance of equipment, components and systems for Driver's safety and health.
• Trained Face Recognition model based upon ResNet-34 + KNN Architecture and achieved 99.15% accuracy on challenging benchmark Celebrities dataset.
• Programmed complete system of Drowsiness detection with HOG + SVM based face detector and ResNet-34 based Landmark detection models.
• Optimized memory and time and made it robust enough to be deployed in Raspberry Pi Microcontroller with SMS & Email notifications.

3. Other Projects

• Face Recognition based Door Lock System with SMS & Email Notification using HaarCascade Face Detector & EigenFaces features.
• Basketball Detection System using aggregate channel features (ACF) with more than 80% detection accuracy on runtime.
• Prototype Self Autonomous car with Haarcascade based object detector on Raspberry Pi with Camera on RC Car.

• AI Sign to Speech Conversion Gesture Glove for Dumb People
• Coordinated with project supervisor and team members
• Completed product with more than 85% accuracy on gestures of random deaf and mute persons
• Achieved 0.8s response time for Gesture-to-Speech process.

• Secured 14th Position in the Overall Merit List among 160 selected candidates

• Awarded 1st Position in Machine Learning based Final Year Project among 40 projects.