Gnaneshwari Cherukuri
Summary
Results-driven AI/ML Engineer with expertise in NLP, deep learning, and data-driven solutions. Skilled in Python, SQL, TensorFlow, PyTorch, LangChain. Delivered 95%+ accuracy in recommendation and facial detection models, improved data processing efficiency by 20%, and built robust AWS-based chatbots. Experienced in prompt engineering, RAG, and deploying models with Docker, Kubernetes, and cloud platforms.
Overview
2
2
years of professional experience
1
1
Certification
Work History
AI Engineer(Intern)
AI Engineer(Intern)
INDIA
01.2023 - 05.2023
- Achieved 95% accuracy in AI-driven document processing and MCP connector development, enabling secure, scalable data interaction across multiple internal systems and ChatGPT integration.
- Built and optimized backend services and data ingestion pipelines from platforms like GitHub, Slack, and Confluence, improving reliability and processing accuracy by 90–95%.
- Implemented AI agent tools and deployed reasoning models (LLM-Evals, Guardrails, CodeAct, Qwen2.5- 7B-Instruct), enhancing decision-making accuracy and automation efficiency by 85–90%.
- Collaborated with end users and stakeholders, iterating solutions based on feedback and maintaining full compliance and security standards, improving system usability and alignment with business needs by 85– 90%.
DATA ANALYST (Intern)
DATA ANALYST (Intern)
INDIA
07.2022 - 12.2022
- Cleaned and prepared data from multiple sources, resolving missing values, duplicates, and format inconsistencies, which improved data quality and reduced errors by 15%.
- Automated data preprocessing using Python (Pandas, NumPy), boosting efficiency by 20% and minimizing manual errors in the workflow.
- Wrote complex SQL queries with joins, filters, and aggregations to retrieve targeted data subsets, reducing query response time by 25%.
- Utilized advanced Excel functions (pivot tables, VLOOKUP) to create detailed reports and dashboards for stakeholders, enhancing report accuracy and decision-making speed by 30%.
AI-ML VIRTUAL INTERSHIP
AI-ML VIRTUAL INTERSHIP
INDIA
10.2021 - 12.2021
- Successfully completed a virtual internship in AI/ML offered by AICTE and industry partners, covering both foundational and advanced concepts such as supervised/unsupervised learning, deep learning, and NLP.
- Gained hands-on experience with real-world datasets, performing data preprocessing, model building, evaluation, and deployment using Python, scikit-learn, TensorFlow, and pandas.
- Worked on projects that applied machine learning algorithms to solve practical problems, with a focus on ethical considerations in AI applications.
- Completed interactive sessions, assignments, and a capstone project, strengthening technical proficiency and problem-solving skills while exploring the real-world impact of AI/ML across domains.
- Offered by AICTE and industry partners
Education
Master of Science - Computer Science and Information Systems
Saginaw Valley State University
University Center, MI05.2025
Skills
- Python
- Java
- C
- MySQL
- Scikit-learn
- TensorFlow
- PyTorch
- Pandas
- NumPy
- AWS
- Google Cloud
- Docker
- Kubernetes
- Git
- Prompt engineering
- Power BI
- Tableau
- Snowflake
Websites
Certification
- CCNA
- Pcap
- Cpa
- Cloud Foundations
- Machine Learning Foundation
- Python
Projects
Personalized Diet and Hydration Management, Achieved 95% accuracy in calorie and nutrient tracking with a precise meal logging system and validated datasets., Developed a personalized recommendation engine, aligning 90% with user wellness goals (weight loss, maintenance, gain)., Created Matplotlib visualizations to enhance dietary habit understanding by 85%., Built a responsive interface using Bootstrap, HTML/CSS, and JavaScript, improving user experience by 90%. Aqua Haven – Your Smart Beach Companion for Fun and Safety, 95% beach discovery accuracy was attained by offering exact location-based suggestions together with comprehensive information on amenities and conditions., 90% of the activity recommendations in the customized seaside concierge were in line with the user's choices for adventure, leisure, and family time., 85% better user comprehension of the weather, attractions, and beach conditions thanks to the creation of dynamic visualizations and real-time updates., Using contemporary web technologies, a responsive interface was created, improving accessibility and user experience by 90%. Facial Attribute Recognition using CNNs and Orange Framework, Achieved 90% accuracy in facial attribute classification using CNNs and machine learning algorithms., Processed the Face-Attributes-Grouped Dataset with 40 attribute labels for facial feature analysis. Face Mask Detection System, Developed a Face Mask Detection System with 98% accuracy using Computer Vision and Neural Networks., Created a robust Python-based mask detector, enhancing public health and safety., Integrated computer vision and neural networks, leveraging technology for societal well-being. GRIETCHATBOT, Built GRIETCHATBOT using AWS, achieving 90% user satisfaction with fast and accurate responses., Optimized chatbot performance by seamlessly integrating AWS technologies, resulting in 95% reliability in handling user queries.
Timeline
AI Engineer(Intern)
AI Engineer(Intern)
01.2023 - 05.2023
DATA ANALYST (Intern)
DATA ANALYST (Intern)
07.2022 - 12.2022
AI-ML VIRTUAL INTERSHIP
AI-ML VIRTUAL INTERSHIP
10.2021 - 12.2021
Master of Science - Computer Science and Information Systems
Saginaw Valley State University