Lokesh Kumar

Software Engineer

New Delhi, Delhi, India4 yrs 9 mos experience

Key Highlights

Expert in Full-Stack development and Machine Learning.
Proven track record in optimizing data processes.
Strong background in competitive programming.

Stackforce AI infers this person is a Full-Stack Developer with expertise in E-commerce and Data Engineering.

Contact

Skills

Core Skills

Machine LearningData EngineeringSoftware Development

Other Skills

AlgorithmsBootstrapC (Programming Language)C++CICD deploymentCascading Style Sheets (CSS)CloudflareCompetitive ProgrammingComputer ArchitectureComputer NetworkingData StructuresData center migrationData visualization platformDatabasesETL Pipeline Development

About

I am a Final year Computer Science and Engineering undergraduate from Netaji Subhas University of Technology (Formerly Netaji Subhash Institute of Technology). My primary interest lies in Full-Stack development, Machine learning, and competitive programming. I have a great zeal to learn and to put all my skills and knowledge to get the best of my work done. Also, being a keen learner , I can work to the best of my potential in a faster and in a more relevant manner.

Experience

Rubrik

SDE2

Aug 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India

Flipkart

2 roles

SDE2

Promoted

Mar 2024 – Aug 2024 · 5 mos · Bengaluru, Karnataka, India

=> I contributed to the Sales Planner project, a platform designed to streamline sales planning processes. Key contributions include:
> Plan State Machine Setup: Developed the entire plan state machine, created various plan scenarios, and implemented validations and notifications, forming the foundation of the project.
> ETL Pipeline Development: Built an ETL pipeline to transfer DS-forecast data from Hadoop to MongoDB, reducing data size for OLTP use cases using Spark and Azkaban.
> Forecast Distribution Solution: Developed a solution for distributing forecasts, converting them to finer levels, and ingesting the data back into Hadoop for retail use.
> Variable ASP Integration Design: Designed an integration to convert fixed MRP to variable ASP based on brand discounts and events.
=> Contributed in HLD, LLD and implementation of CM Calculation. CM stands for Contribution Margin, which is basically a target profit margin to achieve for the products listed on flipkart platform. Calculated it using target GMV and units numbers and historical sales.

ETL Pipeline DevelopmentPlan State Machine SetupForecast Distribution SolutionVariable ASP Integration DesignMachine LearningData Engineering

SDE 1

Jan 2022 – Mar 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India

> I developed and implemented an override-quantum metric to measure the efficiency of data science forecasts against actuals. This involved utilizing the Azkaban job scheduler to integrate various steps and automate the daily calculation of metrics. The backend was developed in Java, and the resulting metrics were ingested into Hive and MySQL database.
> Engineered a pipeline for the lifestyle product segment, integrating manual business interventions to streamline the planning process, resulting in reduced warehouse stockpiles and operational costs. Employed Java, Spark, and Azkaban Scheduler in the implementation.
> Led data center migration and CICD deployment processes using Kubernetes.
> Established a platform for visualizing data-chunk lineage, resulting in a 50% reduction in on-call resolution time. Employed React for the frontend and Java Dropwizard for the backend.

Override-quantum metricData center migrationCICD deploymentData visualization platformData EngineeringSoftware Development

Ansys

Software Developer

Jul 2021 – Jan 2022 · 6 mos · Noida, Uttar Pradesh, India

Developed 'SLURM Based Regression Harness Infrastructure', which helped reducing regression run-time from 3+ hours to 30 minutes. My work at ANSYS had the huge impact in improving the productivity of PowerArtist Team.

Cloudifyadept

Full-stack Developer

Dec 2020 – Feb 2021 · 2 mos · Delhi, India

Designed and developed an online timetable management system for NSUT(Netaji Subhas University Of Technology). The portal effeciently solves the tedious task of making timetable for different students of different section, branch, and semester.