Hello, I'mAsad Hanif

I'm a Freelance UI/UX Designer and Developer based in Bahawalpur, Pakistan. I strives to build immersive and beautiful web applications through carefully crafted code and user-centric design.

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3Y.

Experience

250+

Projects Complete

90+

Happy clients

Asad Hanif

3Y.

Experience

250+

Projects Complete

90+

Happy clients

About me

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Contact me

 /  asadhanif3188@gmail.com

 / asadhanif3188

 / asadhanif3188

 / asadhanif3188

 / asad hanif

 /  +92-313-7408286

Technical Skills

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MLOps + LLMOps

Tools : MLFlow, AWS SageMaker, GCP Vertex AI, RAG

Cloud Platforms

AWS : SageMaker, EC2, Lambda, S3, EBS, Application Load Balancer (ALB), IAM, VPC, DynamoDB, RDS MySQL

Microsoft Azure : Azure Data Factory, Azure Kubernetes Service (AKS), Virtual Machines, Entra ID, IAM

Distributed Computing

Frameworks : Apache Spark, Databricks

CI/CD + ETL + ML Pipelines

Tools : GitLab CI, GitHub Actions, SageMaker Pipelines, Apache AirFlow, Ascend

Container Orchestration

Technologies : Docker, Kubernetes, Rancher, Kubeflow

Data Warehousing & Datalake Platforms

Platforms : Amazon S3, Azure Data Lake Storage Gen2 (ADLSg2), Amazon Redshift, Microsoft Azure Synapse Analytics, Snowflake

Data Ingestion and Streaming

Tools : Apache Kafka, Amazon Kinesis

Infrastructure as Code

Tools : Terraform, Terragrunt

Monitoring, Logging, and Alerting

Monitoring : Grafana, Prometheus

Logging : ELK Stack

Scripting & Databases

Languages : Python, Bash

Databases : MySQL, MongoDB, PostgreSQL, Redis

Version Control & Web Servers

VCS : Git, GitLab, GitHub

Web Servers : Nginx, Apache

Linux Administration

OS : Ubuntu

Interpersonal Skills

Teamwork

Problem-solving

Adaptability

Flexibility

Emotional Intelligence

Quick Learner

Leadership

Communication

Experience

Sr. Consultant DevOps

[May, 2024 to Date]

OpenWare Business (OWB) Ltd.

  • Azure infrastructure administration.
  • Administration regarding patching and updating Linux and Windows machines.

DevOps Engineer

[August, 2023 to July, 2024]

Eon Intelligence

  • Proficiently devised an effective branching strategy for streamlined version control management.
  • Skillfully imparted training to a team of 6 developers, equipping them with adeptness in version control, Docker utilization, and fostering a DevOps-oriented mindset.
  • Expertly containerized diverse APIs, developed in Laravel, FastAPI, and React front-end, using Docker, contributing to enhanced deployment and scalability.
  • Collaborated closely with cross-functional teams including developers, testers, and system administrators to address technical challenges.
  • Contributed ideas and solutions to improve the development, deployment, and operational processes.
  • Successfully provisoned infrastructure leveraging Terraform for the in-house product.

Portfolio

Call Center Analytics Solution
Freelance
  • Launched an advanced call center analytics platform utilizing LLMs, which processed customer sentiment analysis across 1M+ calls, leading to targeted improvements in customer satisfaction and a 15% increase in retention rates.
Real-Time Analytics Platform with Delta Lake
Hobby Projects
  • Implemented a real-time analytics platform using Delta Lake on Databricks, enabling ACID transactions and schema enforcement for reliable data processing.
  • Developed data ingestion pipelines using Apache Spark to process streaming data from Kafka and store it in Delta Lake.
  • Enabled time travel and versioning in Delta Lake to support data audits and historical analysis.
  • Optimized data processing workflows to achieve significant performance improvements, reducing query times by 40%.
  • Integrated the platform with AWS services, including S3 for storage and Redshift for analytical querying.
End-to-End Data Pipeline for Computer Vision Model Training
Hobby Projects
  • Build and automate a complete data pipeline to support the training of a computer vision model.
  • Collect and preprocess a large dataset of images (e.g., public datasets like COCO, ImageNet).
  • Implement data validation steps to ensure data quality.
  • Automate the data ingestion process using tools like Apache NiFi or Airflow.
  • Store the processed data in a cloud storage solution (AWS S3, Google Cloud Storage).
  • Implement data versioning and lineage tracking.

Workshops / Tranings

MLOps with AWS - Bootcamp - Zero to Hero Series
Udemy - 34 hours
MLOps Bootcamp: Mastering AI Operations for Success - AIOps
Udemy - 39.5 hours
Data Engineering on Microsoft Azure
YouTube - 45 hours
Master Azure Databricks for Data Engineers
Udemy - 17.5 hours
Spark Streaming - Stream Processing in Lakehouse - PySpark
Udemy - 22.5 hours
AWS SageMaker Practical for Beginners | Build 6 Projects
Udemy - 16 hours
End-to-End Machine Learning: From Idea to Implementation
Udemy - 36 hours
Apache Kafka Series - Learn Apache Kafka for Beginners
Udemy - 8.5 hours
Apache Kafka Series - Kafka Connect Hands-on Learning
Udemy - 4.5 hours
Apache Kafka Series - Kafka Monitoring & Operations
Udemy - 5 hours
AWS Lambda & Serverless - Developer Guide with Hands-on Labs
Udemy - 28.5 hours
Data Science Workshop
Dice Analytics, Islamabad

Education

Masters of Science in Computer Science (MSCS)
GPA=3.64/4.00
Abasyn University Islamabad Campus (AUIC)
2021
Bachelor of Science in Telecommunication and Networks (BSTN)
GPA=3.52/4.00
Iqra University Islamabad Campus (IUIC)
2009
HSSC - Pre-Engineering
Islamabad College for Boys (ICB), Islamabad
2005
SSC - Science
Asif Public School
2003