Timeline
Work Preference
Work History
Education
Skills
Summary
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Projects
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Prasanth Injeti

Prasanth Injeti

Founder & CEO
Bengaluru,KA

Timeline

Bachelor of Science - Computer Science And Engineering

Presidency University
06.2020 - 06.2024

Work Preference

Desired Job Title

Founder

Work Type

Full Time

Location Preference

On-SiteHybrid

Work History

Founder

CEO
10.2022 - 09.2025
  • Founded and led a DPIIT-recognized tech startup at age 23.
  • Developed and managed the Smart Printing Locker Machine (SPLM) using IoT and machine learning to improve efficiency and decision-making.
  • Designed and implemented machine learning models for prediction and workflow optimization.
  • Managed product development from idea to execution, including testing and iteration.
  • Led a cross-functional team, overseeing tasks, progress, and problem-solving.
  • Interacted with mentors from industry and government for guidance and strategy.

Education

Bachelor of Science - Computer Science And Engineering

Presidency University
Bengaluru
06.2020 - 06.2024

Skills

Team leadership

Strategic thinking

Problem solving

Entrepreneurial and innovative

Probability and statistics
Linear algebra
Calculus
Machine learning
Reinforcement learning
Generative AI
NLP
Python
Sql
Data structure & algorithms

Summary

Offering strategic mindset and eagerness to learn and thrive in dynamic environment. Brings ability to quickly grasp market trends and develop business plans, along with skills in project management and financial analysis. Ready to use and develop leadership and analytical skills in role.

Custom Section

  • Creativity, A passion for creative activities, such as writing stories, which enhances your ability to think outside the box and bring fresh perspectives to your work.
  • Entrepreneurial Mindset, Experience in founding and managing a tech startup, demonstrating leadership, strategic planning, and problem-solving abilities.

Projects

Smart Printing Locker Machine (SPLM),  2023 –  2025
Developed and managed a self-service printing system using IoT and machine learning to assign lockers and predict usage. Improved efficiency and decision-making in real-world operations. Managed the full product cycle from concept to testing. Applied AI/ML techniques to optimize workflow and enhance user experience.
Machine Learning Portfolio (GitHub), 2022 – Present
Implemented ML algorithms including Linear/Logistic Regression, Decision Trees, Random Forest, K-Means, and Reinforcement Learning. Applied models to datasets for prediction, classification, and clustering tasks. Focused on practical application of AI/ML concepts to solve real problems and improve analytical skills.

Prasanth InjetiFounder & CEO