
About Me
Software Engineer & AI/ML Enthusiast passionate about building scalable applications
Professional Background
I'm a Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning at Gandhi Institute of Technology and Management (GITAM), Visakhapatnam. My journey in technology is driven by a passion for solving complex problems through innovative software solutions.
Currently, I'm focused on building scalable distributed systems, exploring natural language processing techniques, and leveraging cloud technologies. My experience at JPMorgan Chase & Co. as a Software Engineer Intern has given me hands-on exposure to enterprise-grade technologies like Apache Kafka, Spring Boot, and CI/CD pipelines.
I believe in continuous learning and staying updated with the latest technological advancements. Whether it's implementing machine learning models, building web applications, or architecting robust backend systems, I approach every project with dedication and a commitment to excellence.
Experience
Software Engineer (SDE) Intern
JPMorgan Chase & Co.
- Integrated Apache Kafka to enable robust asynchronous communication and real-time data streaming across distributed systems
- Automated project setup and environment configuration, reducing onboarding time for new developers
- Gained hands-on experience with modern enterprise tech stack: Spring Boot, Kafka, H2, RESTful services, and CI/CD tools
Technical Proficiency
⚡Skills Proficiency
💻Programming Languages
🚀Frameworks & Libraries
🛠️Tools & Technologies
Technical Skills
Programming Languages
Libraries & Frameworks
Tools & Platforms
Relevant Coursework
Soft Skills
Achievements & Activities
Amazon ML Summer School
Selected from a pool of around 200,000 applicants (2025)
Competitive program for machine learning enthusiasts
Internshala Student Partner
Collaborated with Internshala to promote opportunities among peers
- Promoted internship services through social media and campus events
- Organized marketing campaigns to increase student engagement