Chandu Satyasai
@chandusatyasai
I build practical AI and machine learning applications from data.
What I'm looking for
I've built AI-powered applications for civic grievance detection, water quality prediction, and automated book review generation using Python, machine learning, deep learning, and NLP.
During internships with Code Gnan IT, Elite Tech, Code Tech IT, Aimers Society, and Cognifyz, I fine-tuned Hugging Face transformers, analyzed 50,000+ records, improved classification accuracy by about 15%, and developed two AI web applications that reduced manual processing time by about 40%.
I'm a B.Tech Computer Science Engineering student focused on AI and ML, bringing disciplined problem-solving, analytical thinking, teamwork, and adaptability to an entry-level technical role.
Experience
Work history, roles, and key accomplishments
ML Engineering Intern
Elite Tech
May 2025 - Aug 2025 (3 months)
Performed exploratory data analysis on over 50,000 records to extract high-impact features and assisted in deploying machine learning models to production via Python pipelines.
Generative AI Intern
Code Gnan IT
May 2025 - Jul 2025 (2 months)
Fine-tuned Hugging Face transformer models for text generation and applied prompt engineering, improving output relevance by approximately 30%.
Machine Learning Intern
Code Tech IT
May 2025 - Jun 2025 (1 month)
Improved classification model accuracy by approximately 15% through hyperparameter tuning, feature engineering, and cross-validation.
Data Analytics Intern
Cognifyz
May 2025 - Jun 2025 (1 month)
Analyzed over 10,000 IoT sensor records to surface actionable insights and built visual dashboards using Pandas and Matplotlib.
AI Developer Intern
Aimers Society
Jun 2024 - Jul 2024 (1 month)
Developed two AI-powered web applications integrating machine learning backends, reducing manual processing time by approximately 40%.
Education
Degrees, certifications, and relevant coursework
NRI Institute of Technology
Bachelor of Technology, Computer Science Engineering (AI & ML)
2022 -
Grade: 7.4/10
Pursuing a Bachelor of Technology in Computer Science Engineering with a focus on AI and Machine Learning, achieving a CGPA of 7.4/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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