Dharshan S profile photo 1 on Tal

Dharshan S

0-​1 | Engineering@Digitap.ai | Scaling Data Intensive Applications

Bengaluru

4+ years of work experience

Digitap.ai
Apr 20265 mosPresent

Senior Software Engineer specializing in platform engineering and site reliability, building scalable distributed systems on AWS and Kubernetes. Experienced in infrastructure automation, observability, and CI/CD. Proven impact in reducing costs, improving system reliability, and developing internal platforms for analytics, proxy routing, and real-time data processing at scale.
Digitap.ai
Jun 20241 yr 10 mosMar 2026

As an Infrastructure and Platform Engineer at Digitap.ai, I have been responsible for enhancing operational efficiency and optimizing infrastructure. I developed and deployed a comprehensive monitoring and alerting system ,ensuring proactive management of services. I also built an automated system to identify and terminate long-running database queries, which improved performance and resource utilization. Leading cost optimization efforts, I successfully reduced operational expenses while maintaining high performance. I introduced Redis caching to mitigate database spikes and set up alerts for connection usage. Additionally, I deployed Apache Airflow ETL pipelines on Kubernetes for scalable data processing, implemented MaxScale DB proxy for PII masking, and strengthened CI/CD pipeline security using Trivy and SonarQube. Furthermore, I designed a pipeline to process Elasticsearch JSON data, convert it to Parquet in AWS S3, and visualize it in AWS Athena, driving system reliability, security, and performance improvements across the organization.
Sakthi Gear Products
Oct 20233 mosDec 2023

Coimbatore, Tamil Nadu, India

Developed a Full-stack web application during internship focusing on streamlining automotive data management.Employed the MEAN stack (MongoDB, Express.js, Angular, Node.js) for robust and dynamic application architecture.Implemented CRUD operations to facilitate efficient retrieval and manipulation of data.Addressed challenges associated with traditional Excel sheets for streamlined data management processes.Gained invaluable experience in real-world application development, honing skills crucial for modern software engineering environments.
HyperVerge
Jul 202310 mosApr 2024

Bangalore

Experienced DevOps Intern with a passion for optimizing product infrastructure and reducing costs through innovative solutions. Leveraging expertise in Terraform and GitOps strategies, I spearheaded projects that significantly decreased monthly infrastructure expenses in AWS. Proficient in establishing robust monitoring systems using AWS CloudWatch and conducting detailed log analysis with Kibana. Skilled in managing Terraform tasks, including importing existing infrastructure and architecting stacks for products. Although my direct hands-on experience with Kubernetes is limited, I possess a strong understanding of its role in container orchestration and microservices deployment. Committed to continuous learning and knowledge sharing, I actively participated in knowledge transfer sessions to enhance team skills and collaboration. My internship has equipped me with invaluable practical skills and knowledge essential for thriving in real-world DevOps environments.
Information Science Department
Apr 20221 yr 3 mosJun 2023

Kumaraguru College of Technology

As the Department Event Outreach Specialist and marketing coordinator lead in my department, I took ownership of suggesting multiple marketing strategies to cover all computing departments and attract attendees to our department events. One of my best strategies involved using marketing tricks to successfully lead over 100 students to attend our cultural events and workshops.

Dharshan’s AI Stack

antigravity
antigravity
cursor
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Education

kumaraguru college of technology

Bachelor's degree, Information Science and Engineering

kumaraguru college of technology

20204 yrs2024

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Headline

0-​1 | Engineering@Digitap.ai | Scaling Data Intensive Applications

About

I have a strong background in optimizing product infrastructure and reducing costs through innovative solutions. I am skilled in Terraform and GitOps strategies, with a proven track record of decreasing monthly infrastructure expenses in AWS. I excel at establishing robust monitoring systems using AWS CloudWatch and conducting detailed log analysis with Kibana. My expertise includes managing Terraform tasks, such as importing existing infrastructure and architecting stacks for products. Additionally, I have hands-on experience with the MEAN and MERN stacks and a solid understanding of machine learning, deep learning, and computer vision fundamentals. I also possess theoretical knowledge of Big Data technologies, including Hadoop, Kafka, and Apache Spark. Committed to continuous learning and knowledge sharing, I actively participate in sessions to enhance team skills and collaboration.

Location

Bengaluru

AI stack

antigravity

cursor

Work experience

Senior Software Engineer at Digitap.ai, Apr 2026 - Present · 5 mos, Senior Software Engineer specializing in platform engineering and site reliability, building scalable distributed systems on AWS and Kubernetes. Experienced in infrastructure automation, observability, and CI/CD. Proven impact in reducing costs, improving system reliability, and developing internal platforms for analytics, proxy routing, and real-time data processing at scale.

Software Engineer (Devops) at Digitap.ai, Jun 2024 - Mar 2026 · 1 yr 10 mos, As an Infrastructure and Platform Engineer at Digitap.ai, I have been responsible for enhancing operational efficiency and optimizing infrastructure. I developed and deployed a comprehensive monitoring and alerting system ,ensuring proactive management of services. I also built an automated system to identify and terminate long-running database queries, which improved performance and resource utilization. Leading cost optimization efforts, I successfully reduced operational expenses while maintaining high performance. I introduced Redis caching to mitigate database spikes and set up alerts for connection usage. Additionally, I deployed Apache Airflow ETL pipelines on Kubernetes for scalable data processing, implemented MaxScale DB proxy for PII masking, and strengthened CI/CD pipeline security using Trivy and SonarQube. Furthermore, I designed a pipeline to process Elasticsearch JSON data, convert it to Parquet in AWS S3, and visualize it in AWS Athena, driving system reliability, security, and performance improvements across the organization.

Software Development Engineer at Sakthi Gear Products, Oct 2023 - Dec 2023 · 3 mos, Coimbatore, Tamil Nadu, India, Developed a Full-stack web application during internship focusing on streamlining automotive data management.Employed the MEAN stack (MongoDB, Express.js, Angular, Node.js) for robust and dynamic application architecture.Implemented CRUD operations to facilitate efficient retrieval and manipulation of data.Addressed challenges associated with traditional Excel sheets for streamlined data management processes.Gained invaluable experience in real-world application development, honing skills crucial for modern software engineering environments.

DevOps Engineer at HyperVerge, Jul 2023 - Apr 2024 · 10 mos, Bangalore, Experienced DevOps Intern with a passion for optimizing product infrastructure and reducing costs through innovative solutions. Leveraging expertise in Terraform and GitOps strategies, I spearheaded projects that significantly decreased monthly infrastructure expenses in AWS. Proficient in establishing robust monitoring systems using AWS CloudWatch and conducting detailed log analysis with Kibana. Skilled in managing Terraform tasks, including importing existing infrastructure and architecting stacks for products. Although my direct hands-on experience with Kubernetes is limited, I possess a strong understanding of its role in container orchestration and microservices deployment. Committed to continuous learning and knowledge sharing, I actively participated in knowledge transfer sessions to enhance team skills and collaboration. My internship has equipped me with invaluable practical skills and knowledge essential for thriving in real-world DevOps environments.

Event Outreach Coordinator Lead at Information Science Department, Apr 2022 - Jun 2023 · 1 yr 3 mos, Kumaraguru College of Technology, As the Department Event Outreach Specialist and marketing coordinator lead in my department, I took ownership of suggesting multiple marketing strategies to cover all computing departments and attract attendees to our department events. One of my best strategies involved using marketing tricks to successfully lead over 100 students to attend our cultural events and workshops.

Education

Bachelor's degree, Information Science and Engineering, kumaraguru college of technology