H
Haeshitha Indukuri
About
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Irving, Texas, United States
Résumé
Jobs
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- UResearch Assistant, AI/Computer Vision/Biomedical LabsUniversity of North Texas, Denton, TXAug 2025 - Current (11 months)Implemented and fine-tuned a deep learning architecture (e.g., YOLO) for small object monitoring, reaching high detection accuracy and enabling real-time field deployment.Guided the construction of an AI pipeline for Type 2 Diabetes clustering by integrating machine learning models with complex health data to identify novel patient subgroups.Constructed AI solutions across Computer Vision and Biomedical domains, optimizing model inference time by 20% using efficient code (PyTorch/TensorFlow).
- UTeaching AssistantUniversity of North Texas, Denton, TXJan 2025 - Current (1 year 6 months)Improved course completion rates by 15% by mentoring over 50 students weekly in technical concepts.Designed practical assignments and handled grading for Database Administration and Game Programming courses.Created instructional content and provided one-on-one lab support to reinforce SQL and low-level programming concepts.
Education
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Master of Science in Computer ScienceUniversity of North TexasJan 2024 - Dec 2025 (2 years)Coursework: Natural Language Processing, Deep Learning, Feature Engineering, Machine LearningGPA: 4.00- Bachelor of Science in Computer ScienceShri Vishnu Engineering College For WomenJan 2020 - Dec 2024 (5 years)Relevant Coursework: Fundamentals of AI, Software Engineering, Fundamentals of DatabaseGPA: 3.78
Projects (professional or personal)
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- MMediCloud AI Framework (LLM-based Microservices)Dec 2025 - Jan 2026 (2 months)Architected and engineered an extensible LLM platform using LangChain and Microservices Architecture in Python.Integrated diverse LLMs (e.g., ChatGPT 3.5) and designed deployment pipelines ensuring high system reliability.Reduced integration complexity and future development latency by applying MLOps best practices.
- LLLM Fine-Tuning and Prompt Engineering for Specialized ChatbotSep 2025 - Dec 2025 (4 months)Fine-tuned GPT-3.5 Turbo on custom data to build a specialized technical interview chatbot, improving question relevancy by 15%.Applied advanced Prompt Engineering methods (Chain-of-Thought) to generate personalized difficulty-based questions.Developed robust testing pipelines ensuring model stability and quality-controlled content generation.
- MML Service for Infrastructure Resource Forecasting & Anomaly DetectionAug 2025 - Nov 2025 (4 months)Deployed an end-to-end ML service on AWS for predicting infrastructure resource utilization and anomaly detection.Built the ETL pipeline using AWS Glue and executed ARIMA-based forecasting with AWS Lambda.Implemented continuous monitoring systems to minimize resource wastage and downtime.
- DDeep Learning Benchmarking for Clinical Notes ClassificationMay 2024 - Jul 2025 (1 year 3 months)Achieved 92% accuracy through benchmarking foundation models (BERT, PEGASUS, BIGBARD) for clinical diagnosis text classification.Identified optimal deep learning architectures for medical NLP tasks to improve overall reliability.Validated model understanding of complex medical language through extensive testing protocols.