Experience

Jan 2023 - Sept 2023 ML Engineer at Afiniti

– Monitored production performance in real-time using Grafana
dashboards to promptly identify any deviations or issues,
ensuring uninterrupted operations and minimising downtime.
– Conducted thorough tier 1 investigations with MySQL and
PostgreSQL databases to swiftly pinpoint root causes of
production issues, contributing to a 95%+ Time to Detect
(TTD) metric and enabling proactive issue resolution.
– Analysed logs comprehensively to uncover underlying factors
behind production issues, facilitating timely resolutions
and maintaining operational efficiency.
– Troubleshot Docker container services diligently to ensure
optimal performance, mitigating potential disruptions and
enhancing system reliability.
– Documented and ticketed issues meticulously in Jira while
creating comprehensive SOPs documentation on Confluence,
facilitating efficient issue tracking and knowledge sharing
within the team.
– Engaged in cross-functional collaboration for tier 2
investigations and technical support, fostering a
collaborative work culture and ensuring comprehensive issue
resolution.
– Proactively notified stakeholders of potential revenue
loss, contributing to operational optimisation and
maintaining revenue streams.
– Developed Python scripts to automate data extraction and
analysis from databases, streamlining processes and saving
time while showcasing advanced scripting capabilities.
– Received recognition for outstanding performance in the
company’s recent review, reflecting dedication and
excellence in executing responsibilities.

Aug 2021 - Dec 2022 Research & Development Engineer at Pakistan Air Force

– Raspberry Pi-based Web Application with Object Detection:
– Designed and deployed a Flask web application on Raspberry
Pi for remote interaction and data visualisation
– Developed real-time object detection utilising OpenCV and a
pre-trained MobileNetSSD model, leveraging the Pi Camera
module
– Integrated live streaming through both local HTTP and RTSP
servers, enabling convenient and versatile access
– Established robust two-way communication between Python
scripts for efficient data exchange
– Database & Access Control:
– Developed Python script and QtFive GUI for RFID-based
access control, enabling user management, balance updates,
and secure access decisions based on database checks and
RFID card verification
– Created MySQL database for user & access data storage with
Python DB controller script for SQL read/write

Sept 2022 - Oct 2022 Data Scientist at Global Cert

– Preprocessed text data using lemmatisation and label
encoding
– Extracted features with TF-IDF
– Trained multi-classification models (OvR k-Neighbors and
Random Forest)
– Achieved a 75% testing accuracy for resume screening,
exceeding project goals
– Cleaned and analysed a large dataset, optimising data for
model performance
– Developed and trained a deep neural network using Keras
– Achieved a remarkable 91% test accuracy, significantly
improving prediction accuracy