
RUTIKASRI POTNURU User
@rutikasri
Entry-level AI/ML Engineer who built an NLP grievance-classification system and a multimodal receipt-parsing pipeline.
What I'm looking for
At APSSDC, I built and evaluated sentiment classification models, reaching 91% accuracy on the test set. I also implemented an end-to-end NLP pipeline for preprocessing, feature extraction, training, and evaluation.
I built an AI-driven grievance management system to classify complaints and test duplicate detection. The project processed text and image data.
For DocuParse AI, I combined EasyOCR and LayoutLMv3 to extract structured receipt information, then integrated the pipeline into a Flask interface. I also developed a LLaMA chatbot using the Groq API and a Gradio interface.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
APSSDC
May 2024 - Jun 2024 (1 month)
Built and evaluated sentiment classification models (Naive Bayes, Logistic Regression) achieving 91% accuracy. Designed an end-to-end NLP pipeline for text preprocessing, feature extraction, model training, and evaluation.
Education
Degrees, certifications, and relevant coursework
Kakinada Institute of Engineering and Technology for Women
Bachelor of Technology, Computer Science and Engineering (AI & ML)
2022 - 2026
Grade: 7.74 CGPA
Activities and societies: Student Mentor
Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on AI and ML, with a CGPA of 7.74.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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