MLOps Lead

• Jul 2023 - Present

Machine Learning Engineer

• Nov 2022 - Sep 2023

a. Developed and deployed a highly scalable NLP algorithm to production, for custom field extraction. b. Designed and developed reproducible ML pipelines and API end-points for model training and prediction, enabling predictions with >70% F-1 score under 3 sec, using AWS EKS, PyTorch and super.ai’ SDK. a. Developed and deployed a highly scalable NLP algorithm to production, for custom field extraction. b. Designed and developed reproducible ML pipelines and API end-points for model training and prediction, enabling predictions with >70% F-1 score under 3 sec, using AWS EKS, PyTorch and super.ai’ SDK.

Machine Learning Engineer

• Nov 2019 - Aug 2022

a. Developed an end-to-end speech-bot capable of booking cabs for UK addresses, in three different accents, over telephone, in under a minute with over 80% success rate. ChecktheDemo! b. Improved and optimised performance and latency of integral ML components, including SpeechToText, address-mapping, booking latency, bot’s conversational flow by using AWS (Lex, Lambda, S3, ECS), AzureML in Python and JS, in agile focused methodology. a. Developed an end-to-end speech-bot capable of booking cabs for UK addresses, in three different accents, over telephone, in under a minute with over 80% success rate. ChecktheDemo! b. Improved and optimised performance and latency of integral ML components, including SpeechToText, address-mapping, booking latency, bot’s conversational flow by using AWS (Lex, Lambda, S3, ECS), AzureML in Python and JS, in agile focused methodology.

Machine Learning Researcher

• Mar 2021 - May 2022

a. Performed Activity Recognition of Nurses using skeletal joints and acceleration data. b. Designed and implemented a novel transformer-based activity recognition model, which outperformed SOTA methods by 1.6%, trained on Linux-based GPU cluster. c. Got published in CVPrR 2022 CVPM. a. Performed Activity Recognition of Nurses using skeletal joints and acceleration data. b. Designed and implemented a novel transformer-based activity recognition model, which outperformed SOTA methods by 1.6%, trained on Linux-based GPU cluster. c. Got published in CVPrR 2022 CVPM.

DataScience Instructor

• May 2021 - Aug 2021

a. Trained more than 150 students for DS and ML modules, from KPK's different regions. as part of UNDP project. b. Mentored students on Foreign scholarship landing and personal branding, at UET Peshawar. a. Trained more than 150 students for DS and ML modules, from KPK's different regions. as part of UNDP project. b. Mentored students on Foreign scholarship landing and personal branding, at UET Peshawar.

AI Engineer

• Oct 2019 - Aug 2020

a. De-noised remote sensor’s data up to 80% by designing and deploying a window-based noise filtering algorithm in C. b. Built REST API in Flask, Python for InFlux DB. Wrote GraphQL queries/mutations for querying API. a. De-noised remote sensor’s data up to 80% by designing and deploying a window-based noise filtering algorithm in C. b. Built REST API in Flask, Python for InFlux DB. Wrote GraphQL queries/mutations for querying API.

Jr. Python Developer

• Mar 2019 - Jun 2019

Build an ERP solution in Python for automating the recruitment process, as part of a complete ERP Odoo solution. Build an ERP solution in Python for automating the recruitment process, as part of a complete ERP Odoo solution.

Research Assistant

• Aug 2018 - Feb 2019

a. Performed EDA on sensor data from jet aircraft. b. Applied different classification and regression techniques on data. c. Explored different statistical approaches to estimate the remaining useful life of equipment under study. a. Performed EDA on sensor data from jet aircraft. b. Applied different classification and regression techniques on data. c. Explored different statistical approaches to estimate the remaining useful life of equipment under study.

Jr. Embedded Systems Developer

• Apr 2017 - Aug 2017

• Worked on PLC Used Hardware and edge devices, software and web interface, TCU, TULIP. • Worked on developing Linux bash scripts. • Software Testing: identifying issues and bugs in software and work on improvement. • Web: Frontend and backend development to improve GUI and to add new features. • Software Development: Worked on new features to be added in software and fix bugs in software code. • Worked on PLC Used Hardware and edge devices, software and web interface, TCU, TULIP. • Worked on developing Linux bash scripts. • Software Testing: identifying issues and bugs in software and work on improvement. • Web: Frontend and backend development to improve GUI and to add new features. • Software Development: Worked on new features to be added in software and fix bugs in software code.