Sara Ali
Research Associate and Data Scientist
Experience
Research Associate and Data Scientist
National Center of Robotics and Automation - Condition Monitoring Lab
- Developed ASR and TSR-based speech processing pipelines on AWS, enabling efficient feature extraction and scalable deployment for speech and text analytics.
- Built a Multimodal Speech Emotion Recognition system combining NLP and deep learning (audio + text), achieving 98% accuracy and supporting real-time, cloud-based inference.
- Designed and optimized end-to-end model training and evaluation workflows using AWS services (S3, EC2, Lambda) to ensure performance, reliability, and reproducibility.
- Created and deployed interactive, user-friendly dashboards for data visualization and insight generation, supporting research teams and management in data-driven decision-making.
Research Associate
National Center of Robotics and Automation - Condition Monitoring Lab
- Automated the process of visual inspection for railway wheels using YOLO coupled with GANs and classical image processing methods like Richardson-Lucy to optimize inference speed and accuracy for deployment in real-time monitoring environments.
- Developed wheel profile measurement and depth estimation system to understand the depth of the fault on the wheel surface, reducing the manual cost by 50%.
- Built and maintained structured databases using SQL and Python, contributing to a scalable and reliable data infrastructure for training and validating ML models.
Research Associate
Sindh Higher Education Commission Project for Trackside Wheel Tread Checker
- Worked in a cross-functional team with AI engineers, data analysts, academic researchers, and product managers within the computer vision-based condition monitoring domain for the railway industry.
- Implemented and optimized the ELT pipeline for large-scale data integration using BigQuery, ensuring high-quality datasets.
- Developed a real-time system to detect missing components using anchor-free YOLOv8, improving inference precision up to 97% and reducing processing latency.
- Conducted model performance tuning to enhance throughput and support real-time analytics on video data.
Mobile Application Development Instructor
Kamyaab Jawaan - NAVTTC
- Taught fundamental concepts, including Android Studio usage, user interface design, and multi-screen applications.
- Integrated XML for Android app development.
- Instructed students on internet-connected apps, guiding them in making web requests, handling JSON data, and incorporating data analytics into their applications.
- Covered background processing, threading, and asynchronous tasks.
- Guided students in implementing persistent data storage in Android applications, with an emphasis on efficient file system handling for data science applications.
- Explored the use of sensors like accelerometer, gyroscope, and light sensors for collecting relevant data.
- Instructed on handling the camera and pictures, showcasing practical examples for image data processing in mobile applications.
- Taught the integration of GPS, location services, and Google Maps in mobile apps.
Java Developer
Gexton Education
- Developed desktop and mobile applications with integrated UI and backend logic.
- Worked on database integration (SQL) and implemented API callbacks for real-time data communication.
- Utilized Eclipse and IntelliJ IDEA for development, version control, and project management.
- Supported an ETL pipeline for code deployment and production workflows, contributing to smooth releases and system reliability.
Internee
Dawlance Ltd.
- Worked on a one-week internship with the IT team to manage the company's data using Excel sheets.
Industries Experience
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Experienced in Information Technology (2.5 years), Transportation (1.5 years), Education (1.5 years), and Manufacturing (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (3 years), Information Technology (2.5 years), and Product Development (1.5 years).
Summary
Data scientist and researcher with 3+ years of experience building production-ready Al systems for speech, text, and image data. Skilled in Python, PyTorch, TensorFlow, and AWS. Experienced in deploying and managing scalable inference pipelines. Strong background in NLP, ASR, TSR, and Computer Vision, with contributions to patented Al solutions for Pakistan Railways for real-time condition monitoring. Performance-driven, team-oriented, and focused on delivering stable, high-throughput ML services in real-time environments.
Skills
Computer Vision, Natural Language Processing (Nlp), Time-series Forecasting
Image Processing, Cnns, Yolo, Unet, Faster-rcnn
Rnn, Transformer Models, Hugging Face, Audio Signal Processing
Predictive Modelling, Arima, Facebook Prophet
Python, Sql, Java, Pytorch, Tensorflow, Opencv
Languages
Education
Mehran University of Engineering and Technology, Jamshoro
M.E in Information Technology · Information and Communication Technologies, Machine Learning · Jamshoro, Pakistan
Mehran University of Engineering and Technology, Jamshoro
Computer Systems Engineering · Jamshoro, Pakistan · 3.85 CGPA
Army Public School and College, Hyderabad Cantt
Intermediate (Pre-Engineering) · Hyderabad, Pakistan
Certifications & licenses
Al For Everyone
Coursera
Cloud Computing Course
National Vocational & Technical Training Commission (NAVTTC)
Networking Fundamentals
Microsoft Technology Associate
Profile
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