Software Engineer Senior
Resume:
W. Harrison
Senior Software Engineer
Summary
With over 9 years of experience in the industry, I have solidified my position as a seasoned software engineer. Throughout my career, I have adeptly managed diverse technological stacks, encompassing Python, Numpy, Keras, Pytorch, and OpenCV. Proficient in leveraging cloud services from AWS, I have showcased effective leadership skills by leading teams and consistently delivering valuable outcomes.
EXPERIENCE
Contractor
2022- Present
I developed a real-time chat application and an e-commerce platform, integrating AI and ML to enhance user experiences. This resulted in a significant 75% reduction in latency for the chat app, incorporating state-of-the-art data storage and real-time communication for seamless interactions. Moreover, the e-commerce platform was constructed with microservices, incorporating AI for personalized recommendations and dynamic pricing. By diversifying payment options with Stripe, PayPal, and Braintree, we achieved a remarkable 50% increase in sales and a notable 40% reduction in customer support inquiries.
Implemented state management by managing complex application states and improving performance. Deployed scalable backend services using Docker and managed containers across AWS services for efficient resource utilization. Utilized Swagger for proper API documentation.
Implemented webhooks to streamline communication between services, ensuring smooth integration and data synchronization. Implemented payment integration using Stripe, Braintree and PayPal, facilitating secure and reliable payment processing for the application. Implemented robust testing frameworks using React Testing Library, Jest to ensure the stability and reliability of the application. *.********.*****@*****.***
2749 Madison Ave, 1st Floor
Bethlehem, PA 18017
https://github.com/waqashussain2194
www.linkedin.com/in/waqashussain1/
Technologies
Python
NumPy
GPT 3
PyTorch
Flask
Generative AI
Snowflake
CI/CD pipelines
LLMs
Pandas
Keras
Apache Hadoop
Fivetran
Django
DevOps
CNN
TensorFlow
PySpark
AI/ML models
RCNN
Head of Engineering
Karla Rewards 2020 - 2022
Karla turns the aspiration of earning rewards while shopping into a tangible reality. As the head of engineering, I supervise team management and strategic decisions concerning the platform's architecture. I've played a pivotal role in constructing the infrastructure from scratch and securing our initial funding by delineating a comprehensive plan for the future.
Senior Software Engineer
Outliant 2019 -2020
As one of the initial engineers, I led client pitches and successfully secured their trust. Gathering requirements and managing expectations were key aspects of my role. During this time, I expanded my expertise as a data scientist, utilizing technologies like Numpy, CNN, Keras, and Tensorflow. Notably, I completed 7 diverse projects spanning various technology stacks and infrastructure. Software Engineer
Code Genesis 2013-2019
Commencing my career as an associate engineer, I acquired invaluable experience working within an agile environment. My focus was on immersing myself in the intricacies of development and deployment within a collaborative team culture. Additionally, I played a significant role in implementing multiple new features on consumer-facing applications, leveraging AI/ML models.
Databases
PostgreSQL
MySQL
Oracle DB
MongoDB
DynamoDB
Redis
Infrastructures
AWS & Azure Cloud
Services
Elasticsearch
ECS
EC2
GCP
Docker
K8s
Projects
Title: Smashing
URL: www.smashing.xyz
This project pioneers microservices to provide users with top-tier, insightful content amidst the deluge of low-quality material online. Through blockchain technology, expert evaluations are harnessed to assess content quality, transcending traditional popularity metrics.
As the second developer onboarded, I architected the project's infrastructure, focusing on a Python service pivotal in generating essential content records. These records underpin content scoring for relevance and quality, facilitated by NumPy for swift computation.
The Interest Feed Algorithm dynamically adjusts user interest feeds every hour, utilizing personal embeddings and cosine similarity to evaluate content relevance. Optimization is achieved through the strategic use of GraphQL and Terraform.
By seamlessly integrating blockchain, microservices, and cutting- edge algorithms, this project revolutionizes content curation, fostering a more discerning and informed audience. Title: Freebusy
URL: https://freebusy.io/en
Streamlining Meetings with AI: The FreeBusy Scheduling Solution
FreeBusy offers a comprehensive solution for automating meeting scheduling, integrating seamlessly with numerous calendar and web conferencing platforms. It simplifies the scheduling process across different time zones and for various user groups, including enterprises, consultants, and remote teams, by leveraging AI to find the most suitable meeting times. With robust privacy and IT security compliance, FreeBusy aims to accelerate decision-making and growth by making scheduling meetings faster and more efficient, all while keeping user data secure and not storing calendar information.
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