Hey, I'am
AKSHAY KUMAR
Working as an Application Engineer 2 at Flipkart, specializing in software development, system ownership, and collaborative problem-solving with a focus on building robust, scalable applications
Leading end-to-end application development lifecycle including design, implementation, testing, and deployment of new features and enhancements to existing systems. Proactively monitoring application health and performance to ensure high availability and reliability.
Expertise in Python, distributed systems, microservices architecture, and API design. Proficient with SQL/NoSQL databases, Linux/Unix environments, CI/CD pipelines, and cloud platforms (AWS).
Strong focus on troubleshooting and debugging complex technical problems in production environments. Collaborating with cross-functional teams including product management and quality assurance, while mentoring junior engineers and contributing to knowledge sharing initiatives. Successfully implemented process improvements and automation to enhance development and operational workflows.
Working mainly as a Software Engineer with a passion for designing and implementing effective data-driven tools for optimal and efficient workflows
Managing critical data and databases; developing, deploying, and maintaining in-house Web App based systems, and migrating hard data to digital environments
Worked with various data tools, platforms, and languages, such as Python, SQL, Spark, AWS Architecture
Successfully managed customer interactions and worked on decisive delegations. Some of my data projects include building a data pipeline for a real estate company, creating a dashboard for a healthcare provider, and optimizing a recommend-er system for an e-commerce platform.
Worked as a Product Manager in leading the development and launch of innovative and user-centric products. Was responsible for Product development, from planning and execution to customer requirements and vision definition
Collaborated closely with engineering, sales, and support teams to ensure revenue and customer satisfaction. and also continuously monitored the Product performance, User engagement, and Key metrics
I used data analytics to identify areas for improvement and make data-driven decisions to optimize the product. Have successfully delivered products that have increased user retention, engagement, and revenue for various domains such as e-commerce, education, and social media.
As a Technical Training Quality Assurance Manager, I worked in creating compelling and relevant content for various industries. And have successfully worked on cost cutting measures in various factors by conducting Statistical analysis and Visualization of Data, using tools such Python, and Google Data Studio
Worked on multiple content development projects based on various programming languages such as C, C++, Python. Have created engaging and informative content for various platforms such as blogs, websites, e-books, and online courses. Effectively handled various Faculty Development Programs for several organizations and institutions to further develop the effectiveness of knowledge transfer.
Designed and delivered interactive and hands-on workshops, seminars, and webinars on various topics such as data science, machine learning, web development, and cloud computing. Trained more than 10,000+ students on various technology oriented concepts and helped them achieve their learning and career goals.
Completed the Executive PG Specialization in Data Engineering from IIIT Bengaluru in collaboration with UpGrad.
The comprehensive program designed for working professionals provided a specialized curriculum that covered various aspects of data engineering; including Data integration, Data modeling, Data warehousing, and Data governance, by using various programming languages and tools for data engineering, such as Python, SQL, Spark, Hadoop, Kafka, and AWS
The Capstone projects were based on Healthcare monitoring systems with new challenges. In view of these challenges, the use case proposed a reliable data pipeline solution to store and analyse a stream of real-time data flowing from various IoT devices at hospitals and health centres.
Project is based on an objective to build a mobiely friendly version and multi-device version, to analyse and obtain an insight of the current trnds on YouTube, with respect to various categories such as Music, Movies and Gaming corresponding to respectively chosen countries.
This use case proposes a reliable data pipeline solution for healthcare monitoring in hospitals, storing and analyzing real-time data from IoT devices. The includes practice of data pipelining tools like Apache Sqoop, PySpark, Kafka, Hive, and HBase. The goal was to build a real-time alert notification system for patients, showcasing the importance of monitoring vital data and alerting subscribers in real-time if it exceeds normal thresholds. This pipeline is similar to industry-level pipelines.
This project was to test the UI interface of a JS copy that was used for partcle-bg component in react. You can click anywhere on the screen and a blackhole will be developed, further controls are located in the control-panel for more interactvity.
In this project a Bank's withdrawal behavior is analyzed to optimize refill frequency. The project involves performing analytical queries to identify top ATMs with high inactivity, failures, total withdrawals, failed transactions, and card types. It also develops a batch ETL pipeline to read transactional data from RDS, perform necessary transformations, and load the transformed data into target dimensions and facts within the Redshift Data Mart.
The computes Key Performance Indicators (KPIs) for a company using real-time sales data. The project uses big data analytics to improve business performance in the e-commerce industry. It focuses on "Order Intelligence" and uses tools like HDFS for data storage and real-time processing. It also provides the company with valuable insights into sales performance, enabling data-driven decisions and optimizing e-commerce operations.
The project is focused on developing a comprehensive in-house customer management system that operates in real-time. It includes various features such as generating quotations, creating job orders, creating invoices, generating warranties, generating LPOs (Local Purchase Orders), employee management dashboard, and fiscal analysis. The system aims to streamline and enhance the overall customer management process within the organization, providing detailed and efficient functionalities for various tasks.
