Vaibhav Gupta

Software Engineer

Bengaluru, Karnataka, India3 yrs 1 mo experience

Key Highlights

2+ years of experience in backend systems and data pipelines.
Proven track record of delivering impactful solutions.
Strong expertise in cloud computing and data engineering.

Stackforce AI infers this person is a Backend-focused Data Engineer with experience in Fintech and Healthcare sectors.

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Skills

Core Skills

Backend DevelopmentData EngineeringCloud ComputingMachine Learning

Other Skills

AWSAlgorithmsApache AirflowApache SparkAzureBig Data ToolsC (Programming Language)C++Cascading Style Sheets (CSS)Competitive ProgrammingContinuous Delivery (CD)Data ArchitectureData StructuresDatabricksDeep Learning

About

Software Engineer at Kotak with 2+ years of experience in building efficient backend systems and data pipelines. A quick learner with a proven track record of delivering impactful solutions across domains. I enjoy exploring new technologies and constantly strive to grow both technically and professionally. Always open to meaningful connections and opportunities to collaborate.

Experience

3 yrs 1 mo

Total Experience

1 yr 6 mos

Average Tenure

1 yr 7 mos

Current Experience

Kotak mahindra bank

Software Development Engineer 1

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

Developed RESTful APIs and implemented data transformation logic, enhancing data workflows and operational efficiency for the risk team.
Implemented Alembic for schema migrations in PostgreSQL, ensuring reliable version control and seamless database updates.
Built and managed Apache Airflow workflows, leveraging AWS services to automate and orchestrate large-scale data processing tasks.

REST APIsPostgreSQLApache AirflowAWSBackend DevelopmentData Engineering

Optum

Software Engineer

May 2023 – Nov 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

Collaborating closely with the business team to streamline processes and enhance efficiency using Big Data Tools.
Assisting in planning and executing the migration of on-premises data infrastructure to the cloud.
Designed and implemented scalable data architectures, ensuring seamless data ingestion, transformation, and storage for improved analytics and decision-making.
Integrated and optimized cloud-based solution, leveraging Azure and other cloud technologies to enhance scalability, reliability, and performance of data infrastructure.

Big Data ToolsAzureData ArchitectureCloud ComputingData Engineering

Genpact

Machine Learning Intern

May 2022 – Jul 2022 · 2 mos

Developed a supplier shutdown classification system, addressing data imbalance through pre-processing techniques and employing diverse classification methods, achieving more than 90% precision.
Identified supplier instability indicators via data analysis, boosting mitigation and resilience.
Enhanced operational efficiency by extracting pertinent details like invoice numbers from emails, enabling prioritized handling of helpdesk queries based on content keywords.
Utilized a range of libraries including Pandas, NumPy, Sci-kit Learn, Regex, Matplotlib, and imblearn for data preprocessing, analysis, and visualization.
Implemented various machine learning algorithms such as Artificial Neural Networks (ANN), Logistic Regression, KNN, Random Forest, and XG Boost for classification tasks.

PandasNumPyMachine Learning AlgorithmsMachine Learning