Summary
Overview
Work History
Education
Skills
Certification
Research Work
Timeline
Generic

HAREENDRA BODDHAPU

Vijayawada

Summary

Computer Science student specializing in AI Systems for Visual Intelligence and deep learning. Experienced in React, Spring Boot, Java, Python, and data-driven analysis, having developed projects like a Freelancer Marketplace and enterprise APIs. Skilled in transforming data into actionable insights through consulting-style projects such as University Placement Analytics. Engaged in research on AI-driven memory aids and human–AI collaboration for coding and digital art.

Results-driven professional prepared for this role with strong background in achieving high-impact outcomes. Skilled in problem-solving, critical thinking, and effective communication. Known for fostering team collaboration and adapting to evolving needs. Adept at utilizing analytical skills and innovative solutions to drive success.

Overview

1
1
Certification

Work History

Team Lead

  • Led cross-functional teams to ensure project milestones were met within established timelines.
  • Coordinated project deliverables, aligning resources and schedules to optimize workflow efficiency.
  • Developed comprehensive project plans, outlining objectives, timelines, and resource allocation strategies.
  • Implemented process improvements that streamlined operations and reduced project completion times.
  • Facilitated stakeholder meetings to gather feedback and drive alignment on project goals and outcomes.

Education

B.Tech - Computer Science

KL University
05-2027

Skills

  • Teamwork and collaboration
  • Problem-solving
  • Spring framework
  • Git and GitHub
  • Javascript
  • HTML
  • CSS
  • SQL and databases
  • Object-oriented programming
  • Python programming
  • Neural networks
  • MongoDB database

Certification

  • Salesforce AI Associate
  • LinguaSkill (CEFR B1)

Research Work

  • Leveraging Reinforcement Learning for Cognitive Support
  • Researching AI-driven memory support systems to mitigate human forgetfulness.
  • Applying reinforcement learning to adaptively assist users in remembering tasks and information.
  • Focus on human–AI collaboration for personalized cognitive support.
  • Preliminary findings show improved memory retention and task recall with AI guidance.
  • Augmented Creativity in Code and Digital Art Ongoing
  • Investigating human–AI collaboration for coding and digital art generation.
  • Developed workflows combining AI suggestions with human feedback.
  • Preliminary results: improved coding efficiency and enhanced creative outputs.
  • AI aids in iterative refinement, guiding novel design decisions.

Timeline

Team Lead

B.Tech - Computer Science

KL University
HAREENDRA BODDHAPU