Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Farhan Jawaid

Karachi

Summary

As an ML/AI engineer with ML Ops experience, I understand the importance of fostering collaboration between different teams and creating a culture that values automation, testing, and continuous improvement. My expertise in managing the entire ML pipeline, from data ingestion to model deployment and monitoring, empowers organizations to deliver reliable, high-performing, and scalable machine learning solutions. Dedicated and adaptable professional with a proactive attitude and the ability to learn quickly. Strong work ethic and effective communication skills. Eager to contribute to a dynamic team and support organizational goals.

Overview

7
7
years of professional experience
1
1
Certification

Work History

AI Engineer

Idenfo
10.2023 - Current

UKDIRECT:

  • Designed and crafted multiple microservices dedicated to OCR mappings for enhanced ID verification documents including Residence Permit, Driving License and Passport.
  • Pioneered the implementation of a versatile algorithm capable of extracting information from the Machine Readable Zone (MRZ) Code on passports from various countries.

PKDIRECT:

  • Implemented open source PaddleOCR on PAK CNIC SMART to replace paid OCR services e.g. Google & AWS OCR Services. Primary goal is to cut the Costing Plan

Miscellaneous:

  • Engineered Code Obfuscation Technique for On Prem Deployments.
  • Integrated yolov7 Model of Screen Detection into Torchserve's mar file.
  • Configured Service Status and Error Alerts on Grafana That helped to take prompt action on any unexpected downtime and Unexpected Errors.
  • Configured Daily API Endpoint Count Report and Ram Usage Report of Containers Running on UAT and PROD.
  • Developed Conversation chatbot for POC level requirement using AWS Lex and Knowledgebase

Machine Learning Engineer - Ops

Liquid Technologies
01.2022 - 09.2023
  • Facilitated integration of machine learning services into technology infrastructure.
  • Gathered customer requirements and developed machine learning product features to address needs.
  • Designed and deployed machine learning models ( supervised learning ) into product stack in support of product development.
  • Partnered with Computer Vision Engineer to create model training workflows for use by end-users.
  • Initiated A/B tests and regression testing to validate model performance using MLOps (Mlflow) prior to production for US and Local client.

Research and Development Engineer

Liquid Technologies
03.2020 - 12.2021
  • Analyzed business requirements into technical requirements for reporting and visualizations, data models and databases.
  • Developed Flask API for Machine Learning use cases
  • Developed company-wide technical strategy plans for Python-based assets, overseeing development, coding, debugging and deployments.
  • Introduced cloud-based technologies into Python development to expand on-premise deployment options.
  • Dockerization of Machine Learning use cases

Data Science Trainee

ePlanet Communications
10.2019 - 02.2020
  • Data Scrapping of 4000 + doctors data from web based sources
  • Adhoc Queries on SQL ( simple and complex queries )
  • Daily Conversion Rate for E-Commerce Product
  • Peak Hours Analysis
  • Customer Churn rate ( 6 months )
  • Extraction of GMV and NMVs Value

Data Engineer Intern

Qordata
05.2017 - 06.2017
  • Extraction and Transformation of EFPIA Compliance Health Care Professionals (HCPs) and Health Care Organizations ( HCOs) from PDFs.
  • Data Scrapping of HCPs and HCOs from Web Source.
  • Data Cleaning on Excel Sheet as per required SOPs.
  • Adhoc queries on MSSQL for Quality Assurance.

Education

Bachelor of Science - Computer Science

PAF KIET
Main Campus
12.2019

Skills

  • Python Programming Language
  • Flask API
  • Supervised / Unsupervised Learning
  • TensorFlow / PyTorch
  • AWS EC2
  • Docker
  • Grafana
  • Prometheus
  • Dagster
  • MLflow
  • MS SQL Server
  • Snowflake Basics
  • MS Excel
  • Power BI

Certification

  • Data Analysis with Python (07/2019)
  • Databases and SQL for Data Science with Python (07/2019)
  • Python for Data Science, AI and Development (07/2019)

Timeline

AI Engineer

Idenfo
10.2023 - Current

Machine Learning Engineer - Ops

Liquid Technologies
01.2022 - 09.2023

Research and Development Engineer

Liquid Technologies
03.2020 - 12.2021

Data Science Trainee

ePlanet Communications
10.2019 - 02.2020

Data Engineer Intern

Qordata
05.2017 - 06.2017

Bachelor of Science - Computer Science

PAF KIET
Farhan Jawaid