Experience:
Software Engineer in Infosys
Skills:
TECHNICAL SKILLS
● AI & NLP: GPT ( OpenAI),
LangChain, Hugging Face,
RLHF, Few-shot Learning
● Deep Learning:
TensorFlow, PyTorch,
Keras
● MLOps & Cloud AI:
Databricks, Apache Spark
ML, Kubernetes, AWS
SageMaker, Azure ML
● Programming: C#,
Python, C ++ ,
JavaScript/TypeScript,
Node.js, Core PHP ,
HTML/CSS
● Test Automation:
Selenium, Cypress,
Playwright, Appium, Jest,
Cucumber (BDD)
● API Testing: Postman,
REST Assured, Newman,
SuperTest
● Software Engineering:
OOP , Data Structures,
Design Patterns, Software
Architecture
● Databases & ETL: SQL
Server, MongoDB, SSIS
● DevOps & CI/CD: Git,
Jenkins, Bitbucket,
Docker, Kubernetes, Azure
DevOps
● Cloud Platforms: AWS,
Microsoft Azure, Google
Cloud Platform
● Productivity Tools: JIRA,
Confluence, ServiceNow
Additionally:
Designed and maintained backend APIs and microservices using C#, Node.js,
Express.js, and Angular, with a strong focus on scalability, performance, and
modular architecture in Linux environments.
● Developed and deployed front -end components (React, Angular) and responsive
HTML emails, ensuring cross-platform compatibility and optimized client -side
performance.
● Built and maintained SSIS ETL packages and automated data workflows;
optimized SQL databases for data integrity, performance tuning, and reliability
across distributed systems.
● Integrated and automated API testing using Postman, REST Assured, and
SuperTest within CI/CD pipelines (Jenkins, Azure DevOps), improving test
coverage and reducing deployment time.
● Led infrastructure automation and deployment optimization, leveraging
configuration management and CI/CD tools to enhance reliability and reduce
manual intervention.
● Conducted performance and load testing using Apache JMeter, identifying
system bottlenecks and implementing performance tuning measures at the OS
and application levels.
● Contributed to cloud infrastructure projects (Azure, AWS) including
containerized deployments, monitoring, and server provisioning using Docker
and Kubernetes.
● Applied Infrastructure-as-Code (IaC) methodologies using tools like Terraform
and ARM templates for provisioning and managing cloud-native environments.
● Developed Bash and Python scripts for system automation, monitoring, and data
manipulation; built tooling for log parsing, alerting, and job orchestration.
● Worked with Intel-based server environments, including setup, maintenance,
and tuning for optimal hardware utilization.
● Contributed to open-source and internal technical projects, showcasing a strong
passion for backend infrastructure, tooling, and DevOps best practices.
● Explored AI and automation engineering, integrating LLMs ( GPT, Claude,
LLaMA) via prompt engineering and RLHF into real-time applications; fine-tuned
models using Hugging Face and TensorFlow.
● Automated marketing processes by integrating AI models with advertising APIs
(Meta, Google Ads) to deliver text -generation and analytics tools for business
automation.
