Prakash Kumar

Senior Software Engineer

Pune, Maharashtra, India7 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Java J2EE application development.
Proficient in cloud security and log processing.
Strong background in Agile and Test Driven Development.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Cybersecurity and Cloud Computing.

Contact

pkumar@qualys.com LinkedIn

Skills

Core Skills

Java DevelopmentCloud Detection And ResponseCloud ComputingSoftware DevelopmentApi Development

Other Skills

AWSAWS LambdaAgileAgile MethodologyAlexa Skills Kit (ASK)AlgorithmsAmazon EC2Amazon S3Apache KafkaCassandraChatbot DevelopmentCore JavaCybersecurityData StructuresDatabase Management System (DBMS)

About

I possess extensive experience in developing Java J2EE applications, as well as their integration with enterprise and distributed applications. My skill set includes a strong proficiency in object-oriented analysis and design (OOAD), design principles, and design patterns, coupled with an aptitude for troubleshooting, debugging, and conducting unit testing. My approach to development involves the implementation of Test Driven Development (TDD), as well as the utilization of Scrum concepts within Agile Methodology, to ensure the delivery of high-quality applications. Additionally, I possess a thorough understanding of the Software Development Life Cycle (SDLC) and remain committed to continuously enhancing my skills and abilities within this field.

Experience

7 yrs 8 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 8 mos

Current Experience

Qualys

Senior Software Engineer

Oct 2024 – Present · 1 yr 8 mos · Pune, Maharashtra, India · Hybrid

Working on Cloud Detection & Response (CDR) platform which collects and processes massive volumes of cloud flow logs, AWS CloudTrail logs, and appliance logs to provide real-time visibility and threat detection.
Developed and enhanced distributed log processing pipelines using Apache Kafka for high-throughput, real-time ingestion and streaming.
Built Elasticsearch-based search and analytics services to enable fast querying, threat investigation, and anomaly detection across petabyte-scale security data.
Worked with Cassandra to design and optimize scalable storage solutions for long-term log retention and retrieval.
Contributed to design and refactoring of core services, improving performance, resilience, and scalability of CDR.
Collaborated with cross-functional teams to integrate new log sources and detection use cases, enhancing cloud visibility and security posture for customers.

Cloud Detection and ResponseApache KafkaElasticsearchCassandraAgile MethodologyJava Development

Skyhigh security

Software Engineer

Apr 2022 – Nov 2024 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Formally McAfee Enterprise
Developed spring-boot java installer application – cloud connector which resides in customer environment to scan firewall logs, generate events based on business logic, and send to cloud application Log collector.
Developed spring-boot application Log collector deployed on AWS to process received events and put them into appropriate Kafka topic for further processing of downstream applications.
Maestro – spring boot application that manages the configuration of each customer’s Cloud connector using git-config server.
ECMT – a monitoring application developed using Spring Boot receives health status of on-premise
Cloud connector crash predictor – predictive machine learning model (used extensively by support to notify customers in advance)
Notification service – spring boot app to send email alerts to customers of cloud connector based on health status in ECMT

Spring BootAWSKafkaMachine LearningJava DevelopmentCloud Computing

Mcafee

Software Development Engineer

Sep 2021 – Mar 2022 · 6 mos · Bangalore Urban, Karnataka, India

Mcafee Enterprise now Skyhigh Security

Nice ltd

Software Engineer

Oct 2020 – Aug 2021 · 10 mos · Pune, Maharashtra, India · On-site

Created services and restful API to send the data to the DataIQ team and get the status and monitoring alert regarding money laundering.
Perform the generate alert and report task using the job scheduler.
Perform all the setup viz. Docker, Database, and service setup on the Linux machine.
Worked in Agile environments, handled Sprint execution, Sprint Planning, Retrospective and Review.
Closely worked with the Ops/R&D team to understand the rollout of the application and for any functional understanding.
Performed daily check-in in Bit-bucket for the code executed and present in the local repository.

RESTful APIDockerAgileSoftware DevelopmentAPI Development

Infosys

2 roles

System Engineer

Dec 2018 – Oct 2020 · 1 yr 10 mos

Developing chatbots on Infosys NIA Chatbot Platform and Amazon Alexa
Coordinated with Alexa Team to build Infosys First Amazon certified Alexa Voice Bot
Carried out programming in JAVA (Spring Boot), Python and NodeJs to build voice Bot
Configured AWS EC2 instance and AWS lambda for Alexa display interface device

Chatbot DevelopmentAWSSoftware DevelopmentCloud Computing