Gnanesh Balusa

I build solutions that makes task ease and encounters 12k busy hours this is most of me:)

Don't stress your eyes
About Me
Proven IT Professional with experience of 2 + years in Software Development and currently working as a DS Machine Learning Data Associate 2 at Amazon former AI Research Engineer at IIT Hyderabad building phases from designing, developing, and deploying large scale, cloud native applications and AI/ML solutions. Currently working on end to end system reliability and performance at Amazon, with a strong foundation in full stack development, embedded systems integration .
2025 -
Currently working as DS Associate 2 at Amazon, where I leverage machine learning and data science to build AI-powered solutions that drive business impact. I focus on developing robust, scalable systems that bridge theoretical AI concepts with real-world applications. For the latest updates and projects, connect with me on LinkedIn or check out my work on GitHub.
2024 - 2025
Worked as Business Analyst at McKinsey & Company, where I led a team to understand data analysis fundamentals, resulting in improved data capture processes. Engaged in intensive training focused on strategic communication and leadership development. Applied analytical frameworks like APR and issue tree analysis to strengthen decision-making. Developed a growth mindset with strong adaptability and quick learning abilities in problem-solving scenarios.
2024 - 2024
Worked as AI Research Software Engineer at IIT Hyderabad where I developed scalable AI/ML solutions and gained hands-on experience with modern development practices. Focused on building robust applications and systems that effectively serve business requirements while maintaining high code quality and performance standards.
2024 - 2024
Served as Microsoft Student Ambassador at Microsoft, where I engaged in collaborative projects to promote Microsoft technologies among peers, enhancing community knowledge. Developed software solutions utilizing Git, Object-Oriented Programming, and Data Structures & Algorithms while organizing workshops and coding sessions, fostering a culture of learning and innovation within the student community.
2021 - 2022
Worked as Verification Engineer at Tessolve with cross-functional teams to develop and implement detailed verification plans for complex designs. Used Verilog and SystemVerilog to design and refine testbenches, significantly improving verification efficiency. Conducted thorough validation processes to ensure adherence to industry standards, enhancing overall product reliability and quality.
2020
Open Source Contributor at Hacktoberfest - Contributed to the open-source community by enhancing Shell AI for cross-platform compatibility. Implemented automated command suggestions for Windows, Mac, and Linux users, improving user experience. Collaborated with diverse teams during Hacktoberfest, fostering innovation and knowledge sharing. Also contributed to the Agno framework - a multi-agent framework and runtime built for speed, privacy, and scale.
teaching
Technical expertise and educational content in AI/ML development. Focus on practical applications and hands-on learning in machine learning, deep learning, and artificial intelligence systems.
featured writing
I regularly share insights on technology, programming, and career development on Medium. Here are some of my most popular articles:
pet projects
Check out my latest projects and contributions on my GitHub.

React Icon
MuteMemo is an innovative invisible overlay application for online meetings built with React and Electron. Take notes, track action items, and paste images - all hidden from screen sharing. This productivity tool allows professionals to stay organized during virtual meetings without disrupting their presentations.
Python AI Icon
Speech Emotion Recognition System - A comprehensive project focusing on temporal sequence analysis for detecting human emotions from speech patterns. This deep learning project leverages advanced neural networks to accurately classify emotional states, with applications in human-computer interaction and mental health monitoring.
Computer Vision Icon
Computer Vision Applications - Various implementations of computer vision projects including object detection, image classification, and real-time processing systems. These projects demonstrate practical applications of deep learning in visual recognition tasks.
NLP AI Icon
Natural Language Processing Solutions - NLP projects focusing on text analysis, sentiment detection, and language model applications. These implementations showcase advanced techniques in processing and understanding human language.
Machine Learning Pipeline Icon
Machine Learning Pipeline Development - Scalable ML systems built for production environments, including data preprocessing, model training, and deployment strategies. These projects emphasize the importance of building robust, maintainable machine learning solutions.
Hackathon Projects Icon
Hackathon Winning Solutions - Collection of innovative projects that won various hackathons, showcasing rapid prototyping skills and creative problem-solving abilities. These projects span different domains including AI, web development, and mobile applications.
publications
Comparative Analysis of Different Operational Logic Gates for Cutting-Edge Technology
IEEE 2025
Vijay Rao Kumbhare, Balusa Gnanesh, Tallam Sai Nithin, M Sahil Krishna, Ashwini Kumar Varma, Bittu Kumar
Evaluating Gesture-Based Text Generator Gloves System on Arduino Platform
IEEE - Gujarat 2024
Vijay Rao Kumbhare, Balusa Gnanesh, Bittu Kumar, Amit Kumar Shrivastava, Ashwini Kumar Varma, Aditya Japa

Also on Google Scholar
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