
Ggire Bathini
@ggirebathini
I build machine learning, RAG, and data pipelines for reliable AI applications.
What I'm looking for
I've built AI applications and machine learning projects spanning RAG-based document summarization, material modeling, computer vision, and recommendation systems.
At Acmegrade, I engineered automated preprocessing, cleaning, and validation pipelines for large-scale datasets, maintaining 100% data integrity and reproducibility. I used Pandas and NumPy for feature extraction, normalization, missing-value imputation, exploratory analysis, and technical reporting.
My projects include a Streamlit PDF summarizer using LangChain and Groq LLMs, an ML-enhanced FEA framework using Abaqus and Fortran, and an OpenCV face detection system that improved efficiency by 30%.
Experience
Work history, roles, and key accomplishments
AI & Machine Learning Intern
Acmegrade
Feb 2026 - Aug 2026 (6 months)
Engineered automated data preprocessing, cleaning, and validation pipelines across large-scale datasets, ensuring 100% data integrity and reproducibility. Built structured feature extraction, normalization, and missing-value imputation workflows using Pandas and NumPy to optimize training pipelines.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology, Design & Manufacturing (IIITDM), Kancheepuram
Bachelor of Technology, Mechanical Engineering
2022 -
Grade: 7.5 / 10.0
Pursuing a Bachelor of Technology in Mechanical Engineering with a CGPA of 7.5/10.0.
Narayana Junior College
Senior Secondary Education, MPC
2020 - 2022
Grade: 92.9%
Completed Senior Secondary Education (Class XII - MPC) with a score of 92.9%.
Sri Chaitanya Techno School
Secondary School Certificate, General
Grade: 10.0 / 10.0
Completed Secondary School Certificate (Class X) with a GPA of 10.0/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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