Summary
Overview
Work History
Education
Skills
Interests
Timeline
Generic

Nikhitha Divi

Kent,OH

Summary

Innovative and results-driven AI/ML Engineer with around 3 years of experience in designing, developing, and deploying end-to-end machine learning solutions that deliver measurable business outcomes. Proven ability to align AI strategies with organizational objectives, build scalable data pipelines, and productionize ML models using industry-standard MLOps tools such as Docker, Kubernetes, and AWS. Adept at automating complex data workflows, transforming raw datasets into actionable insights, and implementing real-time systems for anomaly detection, behavioral prediction, and process optimization. Passionate about leveraging artificial intelligence to enhance decision-making, streamline operations, and deliver intelligent, data-driven solutions at scale.

Overview

6
6
years of professional experience

Work History

AI/ML Engineer

Cyanicsoft Inc
03.2023 - Current
  • Led the end-to-end development of 10+ ML models for fraud detection, credit risk, and churn prediction, improving decision-making accuracy by 25% and accelerating loan approvals by 35%.
  • Designed scalable data pipelines using Apache Airflow, PySpark, and Redshift, boosting data processing and storage efficiency by 40%.
  • Built a cloud-native data lake architecture using AWS S3, Glue, and Redshift, enabling automated ingestion of over 5 million transactions weekly.
  • Deployed production-ready ML models using Docker, AWS Lambda, and Kubernetes, achieving less than 2% model downtime with robust CI/CD workflows via ECS and Prometheus.
  • Developed a real-time anomaly detection system with Prophet and LSTM, and a UX prediction model that increased user engagement by 18%.
  • Built NLP pipelines using HuggingFace Transformers (BERT) to extract insights from support transcripts, improving resolution rates by 18%.
  • Automated ML workflows including hyperparameter tuning (Optuna, GridSearchCV) and transfer learning, reducing development cycles by 30%.
  • Streamlined large-scale data cleansing and feature engineering using Spark and Airflow, cutting model training latency by 40%.
  • Created real-time dashboards with Tableau, Power BI, and Streamlit to visualize churn predictions, leading to a 14% increase in customer retention.
  • Established model monitoring and drift detection with custom alerting, ensuring production stability and performance over time.

Deep Learning Engineer

Nanyang Technological University
07.2019 - 01.2020
  • Developed the State of Art Deep learning models for the classification of skin cancer diseases under the supervision of Prof Rajapakse Jagath Chandana.
  • Acquired research knowledge from Biomedical Informatics lab at NTU, Singapore in collaborations with International Skin Imaging Collaborations (ISIC) for detecting Melanoma skin cancer lesions.
  • Gained knowledge in Deep learning libraries like TensorFlow and Keras used to deal with Artificial Neural networks.
  • Improved the accuracy of melanoma skin cancer lesions by 15 % over fellow researchers.

Education

Master of Science - Computer Science

Kent State University
Kent, OH
12-2022

Bachelor of Technology - Computer Science

Vel Tech University
Chennai, India
05-2020

Skills

    Programming: Python, SQL, Java, R
    ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM
    Cloud & DevOps: AWS (Lambda, S3, ECS, SageMaker), Azure ML, GCP, Docker, Kubernetes
    MLOps & Tools: MLflow, DVC, Airflow, GitHub Actions, Prometheus
    Data Engineering: Spark, Kafka, Dask, Snowflake, PostgreSQL, Redshift
    NLP & LLMs: HuggingFace, LangChain, spaCy, BERT, GPT-3
    Visualization: Power BI, Streamlit, Tableau

Interests

AI Strategy & Business Alignment, End-to-End ML Model Deployment, Data Lakes, Warehouses, & ETL Pipelines, Real-Time Analytics & Event Correlation,Deep Learning & Transfer Learning (BERT, GPT), Model Monitoring & MLOps (MLflow, Airflow), Predictive Modeling & Cognitive AI, Cloud Platforms (AWS, Azure), Docker, Kubernetes, CI/CD, Data Preprocessing, Cleansing, Feature Engineering, GPT-3, Power BI, Streamlit, Tableau,

Timeline

AI/ML Engineer

Cyanicsoft Inc
03.2023 - Current

Deep Learning Engineer

Nanyang Technological University
07.2019 - 01.2020

Master of Science - Computer Science

Kent State University

Bachelor of Technology - Computer Science

Vel Tech University

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