Shashank Kuruba
@shashankkuruba
I build AI-powered and full-stack web applications with measurable performance improvements.
What I'm looking for
I've built an Agentic AI Financial Assistant using Python, LangChain, OpenAI APIs, Firebase, React.js, and Node.js, improving response relevance by 42% and reducing latency by 38%. I've also developed AI Resume Analyzer workflows that automate skill extraction, resume scoring, and keyword matching.
During my Full Stack Web Development internship at Slash Mark, I delivered 15+ production-ready features using React.js, Node.js, Express.js, and MongoDB, improving responsiveness by 35% and reducing UI defects by 30%. I enjoy building cloud-ready applications, REST APIs, real-time dashboards, and practical LLM-based products.
Experience
Work history, roles, and key accomplishments
Full Stack Web Development Intern
Slash Mark
May 2024 - Jul 2024 (2 months)
Developed and deployed scalable full-stack applications using React.js, Node.js, Express.js, and MongoDB, improving application responsiveness by 35% while delivering 15+ production-ready features. Collaborated with cross-functional teams using Git-based workflows, performed testing and technical documentation, reducing UI defects by 30% and improving overall software quality.
Education
Degrees, certifications, and relevant coursework
Madanapalle Institute of Technology and Sciences
Bachelor of Technology, Computer Science and Technology
2022 -
Grade: 8.25/10
Pursuing a degree in Computer Science and Technology with a GPA of 8.25/10. Coursework includes Artificial Intelligence, Machine Learning, Cloud Computing, Data Structures, and Operating Systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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