01
Machine Learning Specialist
Advanced proficiency in algorithmic design, model optimization, hyperparameter tuning, and statistical analysis. Experience with scikit-learn, TensorFlow, and PyTorch.
AIML Engineer & ML Specialist
Hemima Darivemula
Results-driven AIML Engineer with specialized expertise in Machine Learning, Deep Learning, and Natural Language Processing. Proven track record developing intelligent systems and deploying production-grade AI solutions. Proficient in Python, TensorFlow, and cloud platforms. Seeking challenging opportunities to architect scalable ML systems and drive innovation in AI engineering.
8.0
B.Tech CGPA
6+
Tech Stack Proficiencies
5+
ML Projects Completed
About
Engineering excellence through artificial intelligence and machine learning.
Dedicated AIML Engineer with strong academic foundation from B.Tech Computer Science (AIML) specialization. Expertise spans supervised and unsupervised learning, neural networks, NLP, and data-driven decision-making systems. Committed to translating complex ML algorithms into practical, deployable solutions with measurable business impact.
02
Deep Learning & NLP Expert
Specialized knowledge in convolutional neural networks, recurrent architectures, transformers, and language models. Text processing and semantic analysis capabilities.
03
Data-Driven Problem Solver
Proficient in exploratory data analysis, feature engineering, preprocessing pipelines, and deriving actionable insights from complex datasets for strategic decision-making.
Core Competencies
Advanced technical expertise in artificial intelligence.
Comprehensive skill set spanning machine learning frameworks, data engineering, model deployment, and cloud infrastructure.
ML
Machine Learning
Supervised learning, regression, classification, ensemble methods, anomaly detection, clustering algorithms, cross-validation, and model evaluation metrics.
DL
Deep Learning
Neural network architecture design, CNN, RNN, LSTM, GRU, attention mechanisms, transfer learning, and optimization techniques for production systems.
NLP
Natural Language Processing
Tokenization, sentiment analysis, named entity recognition, text classification, language modeling, embeddings, and toxicity detection systems.
Academic Credentials
Strong technical foundation with specialized AI/ML focus.
Rigorous coursework in computer science fundamentals, advanced algorithms, artificial intelligence, and machine learning engineering.
2022 – 2026
B.Tech in Computer Science & Engineering (AIML)
St. Mary's Group of Institution, Guntur for Women • CGPA: 8.0/10. Specialized coursework: Machine Learning, Deep Learning, Natural Language Processing, Data Science, Advanced Algorith[...]
2020 – 2022
Intermediate Education – MPC (Mathematics, Physics, Chemistry)
A.P.S.W.R.E.I.S, Vp South • CGPA: 7.89/10. Strong foundation in mathematical principles and physical sciences.
2019 – 2020
Secondary School Certificate (SSC) / 10th Standard
A.P.S.W.R.E.I.S, Vp South • CGPA: 8.7/10. Comprehensive academic foundation with excellence in STEM subjects.
Technical Proficiencies
Comprehensive toolkit for modern AI engineering.
Industry-standard technologies, programming languages, frameworks, and tools for developing, deploying, and maintaining intelligent systems at scale.
Python Programming
TensorFlow
PyTorch
scikit-learn
Natural Language Processing
Deep Learning Architectures
Data Preprocessing & EDA
SQL & Database Design
Cloud Platforms (AWS/GCP)
Model Deployment & MLOps
Statistical Analysis
Computer Vision
Feature Engineering
Pandas & NumPy
Git & Version Control
Jupyter Notebooks
Research & Development
Intelligent systems engineered for real-world impact.
Production-ready machine learning solutions demonstrating advanced NLP techniques, algorithmic innovation, and practical AI application development.
Primary Project
NLP • Deep Learning • Classification • Social Media Analytics • Transformers
Toxicity Progression Detection in Social Media Conversations
Engineered a sophisticated NLP-based toxicity detection system utilizing advanced machine learning algorithms to analyze social media conversations and classify progression levels of harmful interactions. Implemented multi-class classification with real-time prediction capabilities for early intervention. Leveraged transformer models and contextual embeddings for enhanced accuracy.
Technical Application
System Design • Model Development • Algorithm Implementation • Performance Optimization
AI Engineering Competencies Demonstrated
Project exemplifies end-to-end machine learning pipeline development: data acquisition, preprocessing, feature extraction, model architecture design, training optimization, evaluation, and deployment. Demonstrates competency in handling unstructured data, implementing state-of-the-art NLP techniques, and building production-grade intelligent systems with measurable performance metrics.
Languages & Communication
Multilingual professional communication capabilities.
Telugu (Native), English (Professional Fluency).
Telugu – Native Speaker
English – Professional Proficiency
Technical Documentation
Cross-functional Communication
Connect for AI engineering opportunities.
Open to challenging full-time ML engineering roles, research positions, and collaborative AI development projects. Available for discussions on machine learning architecture, system design, and innovative AI solutions.